{"@context":"https://schema.org","@type":"NewsArticle","generatedAt":"2026-08-11T09:21:12.743Z","headline":"4B开源模型经Castform后训练，检索任务超越GPT-5.6 Sol且成本低100倍","description":"一个4B开源模型经Castform后训练后，在检索任务中达到与GPT-5.6 Sol相当的准确率，而每次请求成本仅为后者的百分之一。典型多轮搜索请求调用gpt-5.6-sol耗时超10秒、端到端成本约0.03美元，而小规模开源权重模型便宜100倍。Castform通过RL后训练弥合差距，并利用Neon的Lakebase Search实现训练与推理。","url":"https://www.aioga.com/news/cmsgky7b808qxro5q160lfwqr/","mainEntityOfPage":"https://www.aioga.com/news/cmsgky7b808qxro5q160lfwqr/","datePublished":"2026-08-05T20:39:47.435Z","dateModified":"2026-08-05T20:39:47.435Z","inLanguage":"zh-CN","publisher":{"@type":"NewsMediaOrganization","name":"Aioga","url":"https://www.aioga.com"},"citation":["https://neon.com/blog/how-castform-neon-beats-frontier-models-on-price-and-efficiency","https://aihot.virxact.com/items/cmsgky7b808qxro5q160lfwqr"],"canonicalUrl":"https://www.aioga.com/news/cmsgky7b808qxro5q160lfwqr/","directAnswer":{"@type":"Answer","text":"材料称，一个4B开源权重模型经Castform强化学习后训练后，在特定检索任务上可达到或超过前沿模型表现；典型多轮搜索中，相关小模型成本约低100倍，而GPT-5.6 Sol请求耗时超过10秒、端到端成本约0.03美元。","url":"https://www.aioga.com/news/cmsgky7b808qxro5q160lfwqr/","dateCreated":"2026-08-05T20:39:47.435Z","author":{"@type":"Organization","@id":"https://www.aioga.com/authors/aioga-editorial/#editorial-team","name":"Aioga Editorial Team","url":"https://www.aioga.com/authors/aioga-editorial/"}},"evidence":[{"@type":"CreativeWork","name":"neon.com source article","url":"https://neon.com/blog/how-castform-neon-beats-frontier-models-on-price-and-efficiency","datePublished":"2026-08-05T20:39:47.435Z","provider":{"@type":"Organization","name":"neon.com","url":"https://neon.com/blog/how-castform-neon-beats-frontier-models-on-price-and-efficiency"}},{"@type":"CreativeWork","name":"AIHot archive record","url":"https://aihot.virxact.com/items/cmsgky7b808qxro5q160lfwqr","datePublished":"2026-08-05T20:39:47.435Z","provider":{"@type":"Organization","name":"AIHot","url":"https://aihot.virxact.com/items/cmsgky7b808qxro5q160lfwqr"}}],"aggregationSource":"Hacker News 热门（buzzing.cc 中文翻译）","originalPublisher":{"name":"neon.com","url":"https://neon.com/blog/how-castform-neon-beats-frontier-models-on-price-and-efficiency"},"geoDeepAnswer":null,"article":{"id":"cmsgky7b808qxro5q160lfwqr","slug":"cmsgky7b808qxro5q160lfwqr","url":"https://www.aioga.com/news/cmsgky7b808qxro5q160lfwqr/","title":"4B开源模型经Castform后训练，检索任务超越GPT-5.6 Sol且成本低100倍","title_en":"使用成本仅为GPT-5.6 Sol十分之一的开源模型，在检索任务中超越GPT-5.6 Sol","summary":"一个4B开源模型经Castform后训练后，在检索任务中达到与GPT-5.6 Sol相当的准确率，而每次请求成本仅为后者的百分之一。典型多轮搜索请求调用gpt-5.6-sol耗时超10秒、端到端成本约0.03美元，而小规模开源权重模型便宜100倍。Castform通过RL后训练弥合差距，并利用Neon的Lakebase Search实现训练与推理。","source":"Hacker News 热门（buzzing.cc 中文翻译）","sourceUrl":"https://neon.com/blog/how-castform-neon-beats-frontier-models-on-price-and-efficiency","aiHotUrl":"https://aihot.virxact.com/items/cmsgky7b808qxro5q160lfwqr","publishedAt":"2026-08-05T20:39:47.435Z","category":"技巧观点","score":63,"selected":false,"articleBody":["“Most teams' best training data is just sitting in their databases. The problem is that turning raw data into something usable is hard, and letting agents read, search, and mutate data cheaply at scale requires advanced infra. Pointing Castform at Neon skips both.”","A \"good agent\" needs to be strong in 2 areas:","Neon：https://neon.com/ (Lakebase Postgres) and their new Search：https://neon.com/blog/lakebase-search-on-neon extensions solve the first; Castform：https://castform.com/ solves the second.","In ~2022, the industry was going all in on embedding search. Every database provider added one, and pgvector was Neon's most downloaded extension. To provide context to LLMs, engineers handcrafted RAG pipelines, which in essence, is some form of embedding similarity search.","In ~2025, agents started to gain more traction. Developers started creating multi-hop search workflows, decomposing big problems into smaller ones. Retrieval has shifted from the one-shot search systems to agentic retrieval. Instead of issuing a single query, models plan and search multiple times in a loop. Every loop iteration meant another call to the frontier model, increasing the overall cost and latency per user request.","Concretely, a typical multi-turn search request with gpt-5.6-sol takes >10s and costs ~$0.03 end-to-end, making it prohibitively slow and expensive.","Meanwhile, small open-weights models are 100x cheaper. But, out of the box, their capabilities lag behind closed api models. RL post-training helps bridge this gap. On specific tasks like search, post-trained open-source models can match & beat frontier models while costing orders of magnitude less per request.","That is why we built Castform: to enable developers to RL post-train models without having to deal with machine learning & gpu internals. The goal's to make post-training as approachable as prompt engineering.","Castform's pipeline runs against Neon via Lakebase Search:","To perform RL post-training effectively, you need a task (e.g. answer a user's question), the environment for the agent to run in (e.g. a search tool for your corpus) and a reward function (e.g. is the answer correct?).","With all 3 pieces in place, the RL post-training is a loop of trial and error: the model attempts the task given the tools, the reward function scores the attempt, and the feedback signal guides the model on how to hill-climb its way to optimal performance.","Yet, most companies do not have a clean dataset of tasks and reward functions ready for post-training.","Enterprises do have a large set of proprietary data:","This data contains the knowledge an agent needs, but turning it into an effective training dataset normally requires substantial data engineering and manual labeling.","That leads many teams to dismiss post-training for one of two reasons:","Castform addresses both. It turns an existing corpus into training tasks：https://castform.com/blog/rag-to-riches/, then manages the RL loop needed to teach an open-source model how to use that data effectively.","With Castform, you can turn your company knowledge base into a model:","With the generated question-answer dataset, Castform lets you scaffold the training run by specifying the tools the agent has access to and a reward function.","The reward function specifies what you want your model to get good at. In our case, we want it to retrieve the correct chunks, cite the right sources along with providing the right final answer.","See a comprehensive code example here：https://github.com/castform-ai/benchmax/tree/main/examples/neon_rag.","Castform gives you full observability into your RL run. You can monitor your reward climb with each step, but more importantly you can drop into individual tasks/prompts to watch how the model performs qualitatively, allowing you to debug problems such as broken tools or reward hacking.","For more details on how to monitor your training runs, you can check out the Castform blog here：https://castform.com/blog/monitoring-rl-runs/. You can also check out our example training run here：https://app.castform.com/train/a7a898f6-d802-4908-b044-acb812f14a48?tab=train.","During training, the agent repeatedly calls Lakebase Search until it has enough context to answer. Across thousands of parallel rollouts, each potentially making dozens of calls, this creates a highly bursty workload.","Neon's dynamic compute scaling absorbs these peaks without requiring Castform to provision for maximum capacity around the clock. Training runs get low-latency search when demand spikes, while compute scales down during idle periods.","This infrastructure becomes even more valuable as agents move beyond search and begin modifying data. Training stateful agents requires isolated environments that can be created and reset cheaply, preventing one rollout's actions from affecting another or touching production.","Neon branching：https://neon.com/docs/introduction/branching can give each rollout an isolated database state, while time-travel queries make it possible to reconstruct and inspect the state an agent encountered. Combined with autoscaling and scale-to-zero, this creates a path toward training thousands of stateful agent rollouts without maintaining thousands of continuously running environments.","Castform makes it easy for any developer to post-train open-source models to be cheaper, faster, better than the frontier. Post-train your first model today at castform.com：https://castform.com.","Receive only our latest updates. No spam, guaranteed."],"articleImages":[{"sourceUrl":"https://cdn.neonapi.io/public/images/pages/blog/how-castform-neon-beats-frontier-models-on-price-and-efficiency/diagram-1.jpg","alt":"Comparison of Castform fine-tune and frontier models by inference cost and mean evaluation reward","afterParagraph":0,"url":"/media/articles/cmsgky7b808qxro5q160lfwqr/47fe45dd1d04101e.jpg"},{"sourceUrl":"https://cdn.neonapi.io/public/images/pages/blog/how-castform-neon-beats-frontier-models-on-price-and-efficiency/diagram-2.jpg","alt":"Comparison of a traditional RAG pipeline and an agentic search workflow","afterParagraph":4,"url":"/media/articles/cmsgky7b808qxro5q160lfwqr/e7abd8227713116f.jpg"},{"sourceUrl":"https://cdn.neonapi.io/public/images/pages/blog/how-castform-neon-beats-frontier-models-on-price-and-efficiency/image-3.jpg","alt":"Average reward over training steps","afterParagraph":21,"url":"/media/articles/cmsgky7b808qxro5q160lfwqr/ae589aaa72b8dc7a.jpg"},{"sourceUrl":"https://cdn.neonapi.io/public/images/pages/blog/how-castform-neon-beats-frontier-models-on-price-and-efficiency/image-4.jpg","alt":"Neon CPU allocation and usage during a Castform training run","afterParagraph":22,"url":"/media/articles/cmsgky7b808qxro5q160lfwqr/607646c715deb14d.jpg"},{"sourceUrl":"https://neon.com/_next/image?url=%2F_next%2Fstatic%2Fmedia%2Fform-bg.0f598oppt.4yn.png&w=640&q=75&dpl=dpl_4HduvbggESw8QNHAnPVHdRmZHThB","alt":"","afterParagraph":27,"url":"/media/articles/cmsgky7b808qxro5q160lfwqr/24384a34cc088808.avif"}],"mediaStatus":"ok","articleBodyZh":["“多数团队最好的训练数据就存放在他们的数据库里。问题在于，将原始数据转化为可用数据很困难，而让智能体在大规模下低成本地读取、搜索和修改数据则需要先进的基础设施。将 Castform 指向 Neon 可以跳过这两个问题。”","一个“优秀的智能体”需要在两个方面很强：","Neon：https://neon.com/（Lakebase Postgres）及其新的搜索功能：https://neon.com/blog/lakebase-search-on-neon 扩展解决了第一个问题；Castform：https://castform.com/ 解决了第二个问题。","大约在2022年，整个行业都在全力推进嵌入式搜索。每个数据库提供商都增加了此功能，而 pgvector 是 Neon 下载量最高的扩展。为了向大语言模型提供上下文，工程师们手工设计了 RAG 流程，本质上是一种嵌入相似度搜索形式。","大约在2025年，智能体开始获得更多关注。开发者开始创建多跳搜索工作流，将大问题分解成更小的问题。检索方式从一次性搜索系统转向智能体式检索。模型不再只发出单个查询，而是在循环中多次进行计划和搜索。每次循环迭代都意味着调用最前沿模型一次，从而增加了每次用户请求的整体成本和延迟。","具体来说，用 gpt-5.6-sol 进行一次典型的多轮搜索请求需要超过10秒，端到端成本约为0.03美元，使其速度过慢且费用过高。","与此同时，小型开源权重模型的成本便宜 100 倍。但开箱即用时，它们的能力落后于封闭 API 模型。RL 后训练有助于弥补这一差距。在诸如搜索等特定任务上，经过后训练的开源模型可以匹配甚至超越最前沿模型，同时每次请求的成本低几个数量级。","这就是我们构建 Castform 的原因：让开发者能够对模型进行 RL 后训练，而无需处理机器学习和 GPU 内部操作。目标是让后训练像提示工程一样易于上手。","Castform 的管道通过 Lakebase 搜索在 Neon 上运行：","要有效地进行 RL 后训练，你需要一个任务（例如回答用户问题）、智能体运行的环境（例如你的语料库搜索工具），以及奖励函数（例如答案是否正确？）。","当所有三个部分就绪后，强化学习后训练就是一个试错循环：模型在给定工具的情况下尝试任务，奖励函数对尝试进行评分，反馈信号指导模型如何逐步爬升以达到最佳性能。","然而，大多数公司并没有一份干净的任务与奖励函数数据集可供后训练使用。","企业确实拥有大量的专有数据：","这些数据包含代理所需的知识，但将其转化为有效的训练数据集通常需要大量的数据工程和人工标注。","这导致许多团队出于以下两种原因之一而放弃后训练：","Castform 解决了两者问题。它将现有语料库转化为训练任务：https://castform.com/blog/rag-to-riches/，然后管理教导开源模型如何有效使用这些数据所需的强化学习循环。","通过 Castform，你可以将公司的知识库转化为一个模型：","通过生成的问题-答案数据集，Castform 允许你通过指定代理可访问的工具和奖励函数来构建训练流程。","奖励函数指定了你希望模型擅长的内容。在我们的例子中，我们希望模型能够检索正确的内容块，引用正确的来源，并提供正确的最终答案。","在这里可以看到全面的代码示例：https://github.com/castform-ai/benchmax/tree/main/examples/neon_rag。","Castform 提供了对强化学习运行的完全可观察性。你可以监控每一步的奖励攀升，更重要的是，你可以进入单独的任务/提示中观察模型的定性表现，从而调试如工具损坏或奖励作弊等问题。","关于如何监控你的训练运行的更多细节，你可以查看 Castform 博客：https://castform.com/blog/monitoring-rl-runs/。你也可以查看我们的训练示例：https://app.castform.com/train/a7a898f6-d802-4908-b044-acb812f14a48?tab=train。","在训练期间，代理会重复调用 Lakebase 搜索，直到它获得足够的上下文来回答问题。在数千次并行展开中，每次可能进行数十次调用，这会产生高度突发的工作负载。","Neon 的动态计算扩展能够吸收这些峰值，而无需 Castform 全天候为最大容量进行准备。当需求激增时，训练运行可以进行低延迟搜索，而在空闲期间计算资源会自动缩减。","当代理从搜索扩展到修改数据时，这种基础设施变得更加有价值。训练有状态代理需要隔离环境，这些环境可以廉价地创建和重置，从而防止一次投放的操作影响另一次投放或接触到生产环境。","Neon 分支：https://neon.com/docs/introduction/branching 可以为每次投放提供隔离的数据库状态，而时间旅行查询使得重建和检查代理所遇到的状态成为可能。结合自动扩展和归零扩展，这为训练成千上万个有状态代理投放开辟了道路，而无需维护数千个持续运行的环境。","Castform 让任何开发者轻松地对开源模型进行后训练，使其比前沿技术更便宜、更快、更优。今天就在 castform.com：https://castform.com 对你的第一个模型进行后训练。","仅接收我们的最新更新。保证无垃圾信息。"],"translationStatus":"translated","bodyOrigin":"source-page","editorial":{"summary":"材料称，一个4B开源权重模型经Castform强化学习后训练后，在特定检索任务上可达到或超过前沿模型表现；典型多轮搜索中，相关小模型成本约低100倍，而GPT-5.6 Sol请求耗时超过10秒、端到端成本约0.03美元。","background":"文章将检索演进分为嵌入相似度搜索与智能体式多跳检索两个阶段。后者会让模型循环规划并多次搜索，每轮都可能调用前沿模型，从而增加整体延迟和成本。Castform负责强化学习后训练，Neon的Lakebase Search用于训练与推理所需的数据检索。","viewpoint":"Aioga 判断，这项材料的价值在于展示了针对单一任务进行后训练的成本潜力，但标题所称“超越”与摘要所称“相当”并不完全一致。现有摘录也未提供数据集、样本量、准确率数值、评测方法及重复实验结果，因此不足以独立确认性能领先。","implications":"如果相关结果能在公开基准和真实业务负载中复现，专用小模型可能降低多轮检索的调用成本与等待时间，并减少对闭源前沿模型的依赖。值得关注的是，这一结论目前仅适用于材料所述的特定搜索任务，不能外推为通用模型能力优势。","nextStep":"后续应核查完整实验报告，重点确认4B模型名称与版本、GPT-5.6 Sol的具体配置、准确率口径、测试集构成、硬件与推理成本算法，并比较相同延迟和质量约束下的结果。在这些信息公开前，应将“低100倍”和“超越”视为来源方主张。","evidenceRefs":["title","summary","articleBody","source"],"status":"published","aiGenerated":true,"autoApproved":true,"generatedBy":"aioga-editorial:gpt-5.6-sol","reviewedBy":"aioga-editorial-review:gpt-5.6-sol","generatedAt":"2026-08-05T21:43:05.232Z","sourceHash":"7bef5222aa19fcc4","review":{"approved":true,"groundedness":96,"clarity":92,"duplicationRisk":12,"blockingIssues":[],"notes":["“经Castform强化学习后训练后”存在轻微重复，可改为“经Castform强化学习后训练”。","候选内容明确区分了来源方主张、编辑判断与条件性推论，并恰当指出现有材料缺少数据集、准确率和评测方法等验证信息。","“低100倍”和“超越”均被审慎限定为来源方主张，未被表述为已获独立验证的事实。"]},"validation":{"passed":true,"mode":"ai-auto","revisions":0,"checks":["schema","length","source-attribution","low-source-overlap","no-html","independent-ai-review"]}},"tags":["技巧观点","Hacker News 热门（buzzing.cc 中文翻译）"],"translations":{"zh-CN":{"title":"4B开源模型经Castform后训练，检索任务超越GPT-5.6 Sol且成本低100倍","summary":"一个4B开源模型经Castform后训练后，在检索任务中达到与GPT-5.6 Sol相当的准确率，而每次请求成本仅为后者的百分之一。典型多轮搜索请求调用gpt-5.6-sol耗时超10秒、端到端成本约0.03美元，而小规模开源权重模型便宜100倍。Castform通过RL后训练弥合差距，并利用Neon的Lakebase Search实现训练与推理。","category":"技巧观点","source":"neon.com","aggregationSource":"Hacker News 热门（buzzing.cc 中文翻译）","pageTitle":"4B开源模型经Castform后训练，检索任务超越GPT-5.6 Sol且成本低100倍 - Aioga AI资讯","description":"一个4B开源模型经Castform后训练后，在检索任务中达到与GPT-5.6 Sol相当的准确率，而每次请求成本仅为后者的百分之一。典型多轮搜索请求调用gpt-5.6-sol耗时超10秒、端到端成本约0.03美元，而小规模开源权重模型便宜100倍。Castform通过RL后训练弥合差距，并利用Neon的Lakebase Search实现训练与推理。","url":"https://www.aioga.com/news/cmsgky7b808qxro5q160lfwqr/","articleBody":["“多数团队最好的训练数据就存放在他们的数据库里。问题在于，将原始数据转化为可用数据很困难，而让智能体在大规模下低成本地读取、搜索和修改数据则需要先进的基础设施。将 Castform 指向 Neon 可以跳过这两个问题。”","一个“优秀的智能体”需要在两个方面很强：","Neon：https://neon.com/（Lakebase Postgres）及其新的搜索功能：https://neon.com/blog/lakebase-search-on-neon 扩展解决了第一个问题；Castform：https://castform.com/ 解决了第二个问题。","大约在2022年，整个行业都在全力推进嵌入式搜索。每个数据库提供商都增加了此功能，而 pgvector 是 Neon 下载量最高的扩展。为了向大语言模型提供上下文，工程师们手工设计了 RAG 流程，本质上是一种嵌入相似度搜索形式。","大约在2025年，智能体开始获得更多关注。开发者开始创建多跳搜索工作流，将大问题分解成更小的问题。检索方式从一次性搜索系统转向智能体式检索。模型不再只发出单个查询，而是在循环中多次进行计划和搜索。每次循环迭代都意味着调用最前沿模型一次，从而增加了每次用户请求的整体成本和延迟。","具体来说，用 gpt-5.6-sol 进行一次典型的多轮搜索请求需要超过10秒，端到端成本约为0.03美元，使其速度过慢且费用过高。","与此同时，小型开源权重模型的成本便宜 100 倍。但开箱即用时，它们的能力落后于封闭 API 模型。RL 后训练有助于弥补这一差距。在诸如搜索等特定任务上，经过后训练的开源模型可以匹配甚至超越最前沿模型，同时每次请求的成本低几个数量级。","这就是我们构建 Castform 的原因：让开发者能够对模型进行 RL 后训练，而无需处理机器学习和 GPU 内部操作。目标是让后训练像提示工程一样易于上手。","Castform 的管道通过 Lakebase 搜索在 Neon 上运行：","要有效地进行 RL 后训练，你需要一个任务（例如回答用户问题）、智能体运行的环境（例如你的语料库搜索工具），以及奖励函数（例如答案是否正确？）。","当所有三个部分就绪后，强化学习后训练就是一个试错循环：模型在给定工具的情况下尝试任务，奖励函数对尝试进行评分，反馈信号指导模型如何逐步爬升以达到最佳性能。","然而，大多数公司并没有一份干净的任务与奖励函数数据集可供后训练使用。","企业确实拥有大量的专有数据：","这些数据包含代理所需的知识，但将其转化为有效的训练数据集通常需要大量的数据工程和人工标注。","这导致许多团队出于以下两种原因之一而放弃后训练：","Castform 解决了两者问题。它将现有语料库转化为训练任务：https://castform.com/blog/rag-to-riches/，然后管理教导开源模型如何有效使用这些数据所需的强化学习循环。","通过 Castform，你可以将公司的知识库转化为一个模型：","通过生成的问题-答案数据集，Castform 允许你通过指定代理可访问的工具和奖励函数来构建训练流程。","奖励函数指定了你希望模型擅长的内容。在我们的例子中，我们希望模型能够检索正确的内容块，引用正确的来源，并提供正确的最终答案。","在这里可以看到全面的代码示例：https://github.com/castform-ai/benchmax/tree/main/examples/neon_rag。","Castform 提供了对强化学习运行的完全可观察性。你可以监控每一步的奖励攀升，更重要的是，你可以进入单独的任务/提示中观察模型的定性表现，从而调试如工具损坏或奖励作弊等问题。","关于如何监控你的训练运行的更多细节，你可以查看 Castform 博客：https://castform.com/blog/monitoring-rl-runs/。你也可以查看我们的训练示例：https://app.castform.com/train/a7a898f6-d802-4908-b044-acb812f14a48?tab=train。","在训练期间，代理会重复调用 Lakebase 搜索，直到它获得足够的上下文来回答问题。在数千次并行展开中，每次可能进行数十次调用，这会产生高度突发的工作负载。","Neon 的动态计算扩展能够吸收这些峰值，而无需 Castform 全天候为最大容量进行准备。当需求激增时，训练运行可以进行低延迟搜索，而在空闲期间计算资源会自动缩减。","当代理从搜索扩展到修改数据时，这种基础设施变得更加有价值。训练有状态代理需要隔离环境，这些环境可以廉价地创建和重置，从而防止一次投放的操作影响另一次投放或接触到生产环境。","Neon 分支：https://neon.com/docs/introduction/branching 可以为每次投放提供隔离的数据库状态，而时间旅行查询使得重建和检查代理所遇到的状态成为可能。结合自动扩展和归零扩展，这为训练成千上万个有状态代理投放开辟了道路，而无需维护数千个持续运行的环境。","Castform 让任何开发者轻松地对开源模型进行后训练，使其比前沿技术更便宜、更快、更优。今天就在 castform.com：https://castform.com 对你的第一个模型进行后训练。","仅接收我们的最新更新。保证无垃圾信息。"]},"en":{"title":"4B open-source model trained with Castform, retrieval tasks surpass GPT-5.6 Sol at 100 times lower cost","summary":"A 4B open-source model trained with Castform achieved comparable accuracy to GPT-5.6 Sol in retrieval tasks, with each request costing only 1% of the latter. Typical multi-round search requests with gpt-5.6-sol take over 10 seconds and cost about $0.03 end-to-end, while small-scale open-source weight models are 100 times cheaper. Castform bridges the gap through post-training with RL and uses Neon’s Lakebase Search for training and inference.","category":"Insights","source":"Hacker News 热门（buzzing.cc 中文翻译）","aggregationSource":"Hacker News 热门（buzzing.cc 中文翻译）","pageTitle":"4B open-source model trained with Castform, retrieval tasks surpass GPT-5.6 Sol at 100 times lower cost - Aioga AI News","description":"A 4B open-source model trained with Castform achieved comparable accuracy to GPT-5.6 Sol in retrieval tasks, with each request costing only 1% of the latter. Typical multi-round se...","url":"https://www.aioga.com/en/news/cmsgky7b808qxro5q160lfwqr/","contentTranslated":true,"sourceHash":"9930c7aacab88894","translatedAt":"2026-08-05T21:21:50.092Z"},"ja":{"title":"4BのオープンソースモデルはCastformを基に訓練されており、検索タスクはGPT-5.6 Solを上回り、コストは100倍低減します","summary":"Castformで訓練した4Bオープンソースモデルは、GPT-5.6 Solと同等の精度を取得でき、リクエストあたりのコストは後者のわずか1%に過ぎません。 GPT-5.6-solへの典型的な複数ターンの検索リクエストコールは10秒以上かかり、エンドツーエンドで約0.03ドルの費用がかかりますが、小規模なオープンソースの加重モデルは100倍安価です。 Castformは強化学習後のトレーニングを通じてギャップを埋め、NeonのLakebase Searchを活用してトレーニングと推論を行います。","category":"ヒントと視点","source":"Hacker News 热门（buzzing.cc 中文翻译）","aggregationSource":"Hacker News 热门（buzzing.cc 中文翻译）","pageTitle":"4BのオープンソースモデルはCastformを基に訓練されており、検索タスクはGPT-5.6 Solを上回り、コストは100倍低減します - Aioga AIニュース","description":"Castformで訓練した4Bオープンソースモデルは、GPT-5.6 Solと同等の精度を取得でき、リクエストあたりのコストは後者のわずか1%に過ぎません。 GPT-5.6-solへの典型的な複数ターンの検索リクエストコールは10秒以上かかり、エンドツーエンドで約0.03ドルの費用がかかりますが、小規模なオープンソースの加重モデルは100倍安価です。 Cas...","url":"https://www.aioga.com/ja/news/cmsgky7b808qxro5q160lfwqr/","contentTranslated":true,"sourceHash":"9930c7aacab88894","translatedAt":"2026-08-05T21:21:50.321Z"},"ko":{"title":"4B 오픈소스 모델은 Castform 이후 학습되었으며, 검색 작업은 GPT-5.6 Sol을 초과하고 비용은 100배 낮습니다","summary":"4B 오픈소스 모델은 Castform에서 훈련한 후 검색 작업에서 GPT-5.6 Sol과 비슷한 정확도를 달성하며, 요청당 비용은 후자의 1%에 불과합니다. gpt-5.6-sol에 대한 일반적인 다중 턴 탐색 요청 호출은 10초 이상 걸리며 종단 간 비용은 약 0.03달러이며, 소규모 오픈소스 가중치 모델은 100배 저렴합니다. Castform은 강화학습 이후 훈련을 통해 공백을 메우고, Neon의 Lakebase Search를 활용해 훈련과 추론을 지원합니다.","category":"인사이트","source":"Hacker News 热门（buzzing.cc 中文翻译）","aggregationSource":"Hacker News 热门（buzzing.cc 中文翻译）","pageTitle":"4B 오픈소스 모델은 Castform 이후 학습되었으며, 검색 작업은 GPT-5.6 Sol을 초과하고 비용은 100배 낮습니다 - Aioga AI 뉴스","description":"4B 오픈소스 모델은 Castform에서 훈련한 후 검색 작업에서 GPT-5.6 Sol과 비슷한 정확도를 달성하며, 요청당 비용은 후자의 1%에 불과합니다. gpt-5.6-sol에 대한 일반적인 다중 턴 탐색 요청 호출은 10초 이상 걸리며 종단 간 비용은 약 0.03달러이며, 소규모 오픈소스 가중치 모델은 100배 저렴...","url":"https://www.aioga.com/ko/news/cmsgky7b808qxro5q160lfwqr/","contentTranslated":true,"sourceHash":"9930c7aacab88894","translatedAt":"2026-08-05T21:21:58.997Z"},"es":{"title":"El modelo de código abierto 4B se entrena después de Castform, con tareas de recuperación que superan a GPT-5.6 Sol y cuestan 100 veces menos","summary":"Un modelo de código abierto 4B, tras entrenarse en Castform, alcanza una precisión comparable a GPT-5.6 Sol en tareas de recuperación, con un coste por solicitud de solo el uno por ciento de esta última. Una llamada típica de búsqueda multiturno a gpt-5.6-sol tarda más de 10 segundos y cuesta aproximadamente 0,03 dólares de extremo a extremo, mientras que los modelos de ponderación open-source a pequeña escala son 100 veces más baratos. Castform conecta las lagunas a través del entrenamiento post-RL y aprovecha la Búsqueda de Lakebase de Neon para el entrenamiento y la inferencia.","category":"Ideas","source":"Hacker News 热门（buzzing.cc 中文翻译）","aggregationSource":"Hacker News 热门（buzzing.cc 中文翻译）","pageTitle":"El modelo de código abierto 4B se entrena después de Castform, con tareas de recuperación que superan a GPT-5.6 Sol y cuestan 100 veces menos - Aioga Noticias de IA","description":"Un modelo de código abierto 4B, tras entrenarse en Castform, alcanza una precisión comparable a GPT-5.6 Sol en tareas de recuperación, con un coste por solicitud de solo el uno por...","url":"https://www.aioga.com/es/news/cmsgky7b808qxro5q160lfwqr/","contentTranslated":true,"sourceHash":"9930c7aacab88894","translatedAt":"2026-08-05T21:21:58.999Z"},"fr":{"title":"Le modèle open source 4B est entraîné après Castform, avec des tâches de récupération dépassant GPT-5.6 Sol et coûtant 100 fois moins cher","summary":"Un modèle open source 4B, après entraînement sur Castform, atteint une précision comparable à GPT-5.6 Sol dans les tâches de récupération, avec un coût par requête de seulement un pour cent de ce dernier. Un appel typique de recherche multi-tour vers gpt-5.6-sol prend plus de 10 secondes et coûte environ 0,03 $ de bout en bout, tandis que les modèles open source à petite échelle sont 100 fois moins chers. Castform comble les écarts grâce à l’entraînement post-RL et exploite la recherche de la base lacustre de Neon pour l’entraînement et l’inférence.","category":"Analyses","source":"Hacker News 热门（buzzing.cc 中文翻译）","aggregationSource":"Hacker News 热门（buzzing.cc 中文翻译）","pageTitle":"Le modèle open source 4B est entraîné après Castform, avec des tâches de récupération dépassant GPT-5.6 Sol et coûtant 100 fois moins cher - Aioga Actualités IA","description":"Un modèle open source 4B, après entraînement sur Castform, atteint une précision comparable à GPT-5.6 Sol dans les tâches de récupération, avec un coût par requête de seulement un...","url":"https://www.aioga.com/fr/news/cmsgky7b808qxro5q160lfwqr/","contentTranslated":true,"sourceHash":"9930c7aacab88894","translatedAt":"2026-08-05T21:22:06.302Z"},"de":{"title":"Das 4B-Open-Source-Modell wurde nach Castform trainiert, wobei die Abrufaufgaben GPT-5.6 Sol übertreffen und 100-mal weniger kosten","summary":"Ein 4B-Open-Source-Modell erreicht nach Training auf Castform eine Genauigkeit, die mit GPT-5.6 Sol bei Abrufaufgaben vergleichbar ist, mit einem pro Anfrage kostenpflichtigen von nur einem Prozent der letzteren. Ein typischer Aufruf von GPT-5,6-Sol mit mehreren Runden dauert über 10 Sekunden und kostet etwa 0,03 $ End-to-End, während kleinschalige Open-Source-Gewichtungsmodelle hundertmal günstiger sind. Castform überbrückt Lücken durch die Post-RL-Ausbildung und nutzt Neons Lakebase Search für Training und Schlussfolgerungen.","category":"技巧观点","source":"Hacker News 热门（buzzing.cc 中文翻译）","aggregationSource":"Hacker News 热门（buzzing.cc 中文翻译）","pageTitle":"Das 4B-Open-Source-Modell wurde nach Castform trainiert, wobei die Abrufaufgaben GPT-5.6 Sol übertreffen und 100-mal weniger kosten - Aioga KI-News","description":"Ein 4B-Open-Source-Modell erreicht nach Training auf Castform eine Genauigkeit, die mit GPT-5.6 Sol bei Abrufaufgaben vergleichbar ist, mit einem pro Anfrage kostenpflichtigen von...","url":"https://www.aioga.com/de/news/cmsgky7b808qxro5q160lfwqr/","contentTranslated":true,"sourceHash":"9930c7aacab88894","translatedAt":"2026-08-05T21:22:07.837Z"},"pt-BR":{"title":"O modelo open-source 4B é treinado após o Castform, com tarefas de recuperação que ultrapassam o GPT-5.6 Sol e custam 100 vezes menos","summary":"Um modelo open-source 4B, após treinamento no Castform, alcança precisão comparável ao GPT-5.6 Sol em tarefas de recuperação, com um custo por requisição de apenas um por cento deste último. Uma chamada típica de busca em múltiplas voltas para gpt-5.6-sol leva mais de 10 segundos e custa cerca de $0,03 de ponta a ponta, enquanto modelos de ponderação open-source em pequena escala são 100 vezes mais baratos. Castform preenche lacunas através do treinamento pós-RL e aproveita a Busca Lakebase da Neon para treinamento e inferência.","category":"技巧观点","source":"Hacker News 热门（buzzing.cc 中文翻译）","aggregationSource":"Hacker News 热门（buzzing.cc 中文翻译）","pageTitle":"O modelo open-source 4B é treinado após o Castform, com tarefas de recuperação que ultrapassam o GPT-5.6 Sol e custam 100 vezes menos - Aioga Notícias de IA","description":"Um modelo open-source 4B, após treinamento no Castform, alcança precisão comparável ao GPT-5.6 Sol em tarefas de recuperação, com um custo por requisição de apenas um por cento des...","url":"https://www.aioga.com/pt-BR/news/cmsgky7b808qxro5q160lfwqr/","contentTranslated":true,"sourceHash":"9930c7aacab88894","translatedAt":"2026-08-05T21:22:16.535Z"},"ru":{"title":"Открытая модель 4B обучена после Castform, при этом задачи на поиск превышают GPT-5.6 Sol и стоят в 100 раз дешевле","summary":"Модель с открытым исходным кодом 4B после обучения на Castform достигает точности, сопоставимой с GPT-5,6 Sol при выполнении задач поиска, при этом стоимость за запрос составляет всего один процент от последнего. Типичный многоходовый поисковый вызов gpt-5.6-sol занимает более 10 секунд и стоит около $0.03 от конца до конца, тогда как небольшие открытые модели взвешивания стоят в 100 раз дешевле. Castform преодолевает пробелы через обучение после RL и использует Neon Lakebase Search для обучения и выводов.","category":"技巧观点","source":"Hacker News 热门（buzzing.cc 中文翻译）","aggregationSource":"Hacker News 热门（buzzing.cc 中文翻译）","pageTitle":"Открытая модель 4B обучена после Castform, при этом задачи на поиск превышают GPT-5.6 Sol и стоят в 100 раз дешевле - Aioga Новости ИИ","description":"Модель с открытым исходным кодом 4B после обучения на Castform достигает точности, сопоставимой с GPT-5,6 Sol при выполнении задач поиска, при этом стоимость за запрос составляет в...","url":"https://www.aioga.com/ru/news/cmsgky7b808qxro5q160lfwqr/","contentTranslated":true,"sourceHash":"9930c7aacab88894","translatedAt":"2026-08-05T21:22:15.649Z"},"ar":{"title":"تم تدريب نموذج 4B مفتوح المصدر بعد Castform، حيث تتجاوز مهام الاسترجاع GPT-5.6 Sol وتكلفتها أقل بمئة مرة","summary":"نموذج مفتوح المصدر 4B، بعد التدريب على Castform، يحقق دقة مماثلة لGPT-5.6 Sol في مهام الاسترجاع، مع تكلفة لكل طلب تبلغ فقط واحد بالمئة من الأخير. تستغرق استدعاء طلب البحث متعدد الأدوار إلى gpt-5.6-sol أكثر من 10 ثوان وتكلف حوالي 0.03 دولار من البداية إلى النهاية، بينما نماذج الوزن مفتوحة المصدر الصغيرة أرخص بمئة مرة. يقوم Castform بجسر الفجوات من خلال التدريب بعد التعلم الواقعي ويستفيد من بحث Lakebase من Neon للتدريب والاستنتاج.","category":"技巧观点","source":"Hacker News 热门（buzzing.cc 中文翻译）","aggregationSource":"Hacker News 热门（buzzing.cc 中文翻译）","pageTitle":"تم تدريب نموذج 4B مفتوح المصدر بعد Castform، حيث تتجاوز مهام الاسترجاع GPT-5.6 Sol وتكلفتها أقل بمئة مرة - Aioga أخبار الذكاء الاصطناعي","description":"نموذج مفتوح المصدر 4B، بعد التدريب على Castform، يحقق دقة مماثلة لGPT-5.6 Sol في مهام الاسترجاع، مع تكلفة لكل طلب تبلغ فقط واحد بالمئة من الأخير. تستغرق استدعاء طلب البحث متعدد الأ...","url":"https://www.aioga.com/ar/news/cmsgky7b808qxro5q160lfwqr/","contentTranslated":true,"sourceHash":"9930c7aacab88894","translatedAt":"2026-08-05T21:22:23.350Z"},"hi":{"title":"4B ओपन-सोर्स मॉडल को Castform के बाद प्रशिक्षित किया जाता है, जिसमें पुनर्प्राप्ति कार्य GPT-5.6 Sol से अधिक होते हैं और इसकी लागत 100 गुना कम होती है","summary":"एक 4B ओपन-सोर्स मॉडल, Castform पर प्रशिक्षण के बाद, पुनर्प्राप्ति कार्यों में GPT-5.6 Sol की तुलना में सटीकता प्राप्त करता है, जिसमें बाद के केवल एक प्रतिशत की प्रति-अनुरोध लागत होती है। gpt-5.6-sol पर एक विशिष्ट मल्टी-टर्न खोज अनुरोध कॉल में 10 सेकंड से अधिक समय लगता है और इसकी लागत लगभग $0.03 एंड-टू-एंड होती है, जबकि छोटे पैमाने पर ओपन-सोर्स वेटिंग मॉडल 100 गुना सस्ते होते हैं। कास्टफॉर्म पोस्ट-आरएल प्रशिक्षण के माध्यम से अंतराल को पाटता है और प्रशिक्षण और अनुमान के लिए नियॉन के लेकबेस खोज का लाभ उठाता है।","category":"技巧观点","source":"Hacker News 热门（buzzing.cc 中文翻译）","aggregationSource":"Hacker News 热门（buzzing.cc 中文翻译）","pageTitle":"4B ओपन-सोर्स मॉडल को Castform के बाद प्रशिक्षित किया जाता है, जिसमें पुनर्प्राप्ति कार्य GPT-5.6 Sol से अधिक होते हैं और इसकी लागत 100 गुना कम होती है - Aioga AI समाचार","description":"एक 4B ओपन-सोर्स मॉडल, Castform पर प्रशिक्षण के बाद, पुनर्प्राप्ति कार्यों में GPT-5.6 Sol की तुलना में सटीकता प्राप्त करता है, जिसमें बाद के केवल एक प्रतिशत की प्रति-अनुरोध लागत हो...","url":"https://www.aioga.com/hi/news/cmsgky7b808qxro5q160lfwqr/","contentTranslated":true,"sourceHash":"9930c7aacab88894","translatedAt":"2026-08-05T21:22:25.096Z"},"it":{"title":"Il modello open-source 4B viene addestrato dopo Castform, con compiti di recupero che superano GPT-5.6 Sol e costano 100 volte meno","summary":"Un modello open-source 4B, dopo l'addestramento su Castform, raggiunge una precisione paragonabile a GPT-5.6 Sol nei compiti di recupero, con un costo per richiesta di solo l'uno percento di quest'ultimo. Una tipica chiamata di ricerca multi-turno a gpt-5.6-sol richiede più di 10 secondi e costa circa 0,03$ end-to-end, mentre i modelli open-source a pedestrezza su piccola scala costano 100 volte meno. Castform colma le lacune attraverso l'addestramento post-RL e sfrutta la Ricerca Lakebase di Neon per l'addestramento e l'inferenza.","category":"技巧观点","source":"Hacker News 热门（buzzing.cc 中文翻译）","aggregationSource":"Hacker News 热门（buzzing.cc 中文翻译）","pageTitle":"Il modello open-source 4B viene addestrato dopo Castform, con compiti di recupero che superano GPT-5.6 Sol e costano 100 volte meno - Aioga Notizie IA","description":"Un modello open-source 4B, dopo l'addestramento su Castform, raggiunge una precisione paragonabile a GPT-5.6 Sol nei compiti di recupero, con un costo per richiesta di solo l'uno p...","url":"https://www.aioga.com/it/news/cmsgky7b808qxro5q160lfwqr/","contentTranslated":true,"sourceHash":"9930c7aacab88894","translatedAt":"2026-08-05T21:22:32.323Z"},"nl":{"title":"Het 4B open-source model is getraind na Castform, waarbij ophaaltaken GPT-5.6 Sol overtreffen en 100 keer minder kosten","summary":"Een 4B open-source model, na training op Castform, behaalt nauwkeurigheid vergelijkbaar met GPT-5.6 Sol bij ophaaltaken, met een kost per verzoek van slechts één procent van laatste. Een typische zoekopdracht met meerdere beurten naar gpt-5.6-sol duurt meer dan 10 seconden en kost ongeveer $0,03 end-to-end, terwijl kleinschalige open-source wegingsmodellen 100 keer goedkoper zijn. Castform overbrugt de gaten via post-RL-training en maakt gebruik van Neon's Lakebase Search voor training en inferentie.","category":"技巧观点","source":"Hacker News 热门（buzzing.cc 中文翻译）","aggregationSource":"Hacker News 热门（buzzing.cc 中文翻译）","pageTitle":"Het 4B open-source model is getraind na Castform, waarbij ophaaltaken GPT-5.6 Sol overtreffen en 100 keer minder kosten - Aioga AI-nieuws","description":"Een 4B open-source model, na training op Castform, behaalt nauwkeurigheid vergelijkbaar met GPT-5.6 Sol bij ophaaltaken, met een kost per verzoek van slechts één procent van laatst...","url":"https://www.aioga.com/nl/news/cmsgky7b808qxro5q160lfwqr/","contentTranslated":true,"sourceHash":"9930c7aacab88894","translatedAt":"2026-08-05T21:22:33.697Z"},"tr":{"title":"4B açık kaynak modeli, Castform sonrası eğitiliyor; geri alma görevleri GPT-5.6 Sol'u aşıyor ve maliyeti 100 kat daha düşüktür","summary":"Castform üzerinde eğitim aldıktan sonra, 4B açık kaynak modeli, geri alım görevlerinde GPT-5.6 Sol ile karşılaştırılabilir doğruluk sağlar; istek başına maliyet ise sadece %1'dir. GPT-5.6-Sol'a tipik bir çoklu turluk arama talebi çağrısı 10 saniyeden fazla sürer ve uçtan uca yaklaşık 0,03 dolar tutarken, küçük ölçekli açık kaynak ağırlık modelleri 100 kat daha ucuzdur. Castform, RL sonrası eğitimdeki boşlukları kapatır ve eğitim ve çıkarım için Neon'un Lakebase Search'ini kullanır.","category":"技巧观点","source":"Hacker News 热门（buzzing.cc 中文翻译）","aggregationSource":"Hacker News 热门（buzzing.cc 中文翻译）","pageTitle":"4B açık kaynak modeli, Castform sonrası eğitiliyor; geri alma görevleri GPT-5.6 Sol'u aşıyor ve maliyeti 100 kat daha düşüktür - Aioga AI Haberleri","description":"Castform üzerinde eğitim aldıktan sonra, 4B açık kaynak modeli, geri alım görevlerinde GPT-5.6 Sol ile karşılaştırılabilir doğruluk sağlar; istek başına maliyet ise sadece %1'dir....","url":"https://www.aioga.com/tr/news/cmsgky7b808qxro5q160lfwqr/","contentTranslated":true,"sourceHash":"9930c7aacab88894","translatedAt":"2026-08-05T21:22:42.153Z"},"vi":{"title":"Mô hình mã nguồn mở 4B được huấn luyện sau Castform, với các tác vụ truy xuất vượt quá GPT-5.6 Sol và chi phí thấp hơn 100 lần","summary":"Mô hình mã nguồn mở 4B, sau khi được huấn luyện trên Castform, đạt độ chính xác tương đương GPT-5.6 Sol trong các tác vụ truy xuất, với chi phí mỗi yêu cầu chỉ khoảng một phần trăm so với GPT-5.6 Sol. Một cuộc gọi yêu cầu tìm kiếm nhiều vòng điển hình đến gpt-5.6-sol mất hơn 10 giây và có chi phí khoảng $0.03 từ đầu đến cuối, trong khi các mô hình trọng số mã nguồn mở quy mô nhỏ rẻ hơn 100 lần. Castform kết nối các khoảng cách thông qua huấn luyện sau RL và tận dụng Neon's Lakebase Search để huấn luyện và suy luận.","category":"技巧观点","source":"Hacker News 热门（buzzing.cc 中文翻译）","aggregationSource":"Hacker News 热门（buzzing.cc 中文翻译）","pageTitle":"Mô hình mã nguồn mở 4B được huấn luyện sau Castform, với các tác vụ truy xuất vượt quá GPT-5.6 Sol và chi phí thấp hơn 100 lần - Tin tức AI Aioga","description":"Mô hình mã nguồn mở 4B, sau khi được huấn luyện trên Castform, đạt độ chính xác tương đương GPT-5.6 Sol trong các tác vụ truy xuất, với chi phí mỗi yêu cầu chỉ khoảng một phần trăm...","url":"https://www.aioga.com/vi/news/cmsgky7b808qxro5q160lfwqr/","contentTranslated":true,"sourceHash":"9930c7aacab88894","translatedAt":"2026-08-05T21:22:42.335Z"},"id":{"title":"Model open-source 4B dilatih berdasarkan Castform, dengan tugas pengambilan yang melampaui GPT-5.6 Sol dan biayanya 100 kali lebih rendah","summary":"Model open-source 4B, setelah pelatihan menggunakan Castform, mencapai akurasi yang sebanding dengan GPT-5.6 Sol dalam tugas pengambilan, dengan biaya per permintaan hanya satu persen dari yang terakhir. Panggilan permintaan pencarian multi-giliran ke gpt-5.6-sol memakan waktu lebih dari 10 detik dan biaya sekitar $0.03 dari ujung ke ujung, sementara model pembobotan open-source skala kecil 100 kali lebih murah. Castform menjembatani kesenjangan melalui pelatihan pasca-RL dan memanfaatkan Neon's Lakebase Search untuk pelatihan dan inferensi.","category":"技巧观点","source":"Hacker News 热门（buzzing.cc 中文翻译）","aggregationSource":"Hacker News 热门（buzzing.cc 中文翻译）","pageTitle":"Model open-source 4B dilatih berdasarkan Castform, dengan tugas pengambilan yang melampaui GPT-5.6 Sol dan biayanya 100 kali lebih rendah - Berita AI Aioga","description":"Model open-source 4B, setelah pelatihan menggunakan Castform, mencapai akurasi yang sebanding dengan GPT-5.6 Sol dalam tugas pengambilan, dengan biaya per permintaan hanya satu per...","url":"https://www.aioga.com/id/news/cmsgky7b808qxro5q160lfwqr/","contentTranslated":true,"sourceHash":"9930c7aacab88894","translatedAt":"2026-08-05T21:22:50.436Z"},"th":{"title":"โมเดลโอเพ่นซอร์ส 4B ได้รับการฝึกฝนหลังจาก Castform โดยงานดึงข้อมูลจะเกิน GPT-5.6 Sol และมีต้นทุนต่ํากว่าถึง 100 เท่า","summary":"โมเดลโอเพ่นซอร์ส 4B หลังจากฝึกบน Castform จะให้ความแม่นยําเทียบเท่ากับ GPT-5.6 Sol ในงานดึงข้อมูล โดยมีต้นทุนต่อคําขอเพียงหนึ่งเปอร์เซ็นต์ของแบบหลัง การเรียกคําขอค้นหาหลายรอบไปยัง gpt-5.6-sol ทั่วไปใช้เวลามากกว่า 10 วินาทีและมีค่าใช้จ่ายประมาณ $0.03 จากต้นทางถึงปลายทาง ขณะที่โมเดลถ่วงน้ําหนักโอเพนซอร์สขนาดเล็กมีราคาถูกกว่าถึง 100 เท่า Castform เชื่อมช่องว่างผ่านการฝึกหลัง RL และใช้ Neon's Lakebase Search เพื่อฝึกและสรุปผล","category":"技巧观点","source":"Hacker News 热门（buzzing.cc 中文翻译）","aggregationSource":"Hacker News 热门（buzzing.cc 中文翻译）","pageTitle":"โมเดลโอเพ่นซอร์ส 4B ได้รับการฝึกฝนหลังจาก Castform โดยงานดึงข้อมูลจะเกิน GPT-5.6 Sol และมีต้นทุนต่ํากว่าถึง 100 เท่า - ข่าว AI Aioga","description":"โมเดลโอเพ่นซอร์ส 4B หลังจากฝึกบน Castform จะให้ความแม่นยําเทียบเท่ากับ GPT-5.6 Sol ในงานดึงข้อมูล โดยมีต้นทุนต่อคําขอเพียงหนึ่งเปอร์เซ็นต์ของแบบหลัง การเรียกคําขอค้นหาหลายรอบไปยัง...","url":"https://www.aioga.com/th/news/cmsgky7b808qxro5q160lfwqr/","contentTranslated":true,"sourceHash":"9930c7aacab88894","translatedAt":"2026-08-05T21:22:49.534Z"},"pl":{"title":"Model open-source 4B jest trenowany po Castform, a zadania pobierania przekraczają GPT-5.6 Sol i kosztują 100 razy mniej","summary":"Model 4B open-source, po wytrenowaniu na Castform, osiąga dokładność porównywalną z GPT-5.6 Sol w zadaniach pobierania, przy kosztach na żądanie wynoszącym tylko jeden procent tego ostatniego. Typowe wieloturowe wezwanie do gpt-5,6-sol trwa ponad 10 sekund i kosztuje około 0,03 USD end-to-end, podczas gdy małe, otwartoźródłowe modele ważenia są 100 razy tańsze. Castform wypełnia luki dzięki szkoleniu po RL i wykorzystuje Lakebase Search firmy Neon do szkolenia i wnioskowania.","category":"技巧观点","source":"Hacker News 热门（buzzing.cc 中文翻译）","aggregationSource":"Hacker News 热门（buzzing.cc 中文翻译）","pageTitle":"Model open-source 4B jest trenowany po Castform, a zadania pobierania przekraczają GPT-5.6 Sol i kosztują 100 razy mniej - Aioga Wiadomości AI","description":"Model 4B open-source, po wytrenowaniu na Castform, osiąga dokładność porównywalną z GPT-5.6 Sol w zadaniach pobierania, przy kosztach na żądanie wynoszącym tylko jeden procent tego...","url":"https://www.aioga.com/pl/news/cmsgky7b808qxro5q160lfwqr/","contentTranslated":true,"sourceHash":"9930c7aacab88894","translatedAt":"2026-08-05T21:22:58.980Z"}}}}