一个名为MachinaCheck的新系统已被开发出来，用于自动化数控零件的可制造性评估，将处理时间从一小时缩短到30秒。这个多智能体AI系统利用运行在AMD MI300X硬件上的Qwen 2.5 7B Instruct模型，确保敏感的客户设计数据保留在本地，解决了制造业中的关键隐私问题。该系统解析STEP文件以提取几何特征，然后使用LLM确定所需的数控操作和工具，并提供一份全面的报告。 AI
影响 为敏感制造数据启用本地部署AI，可能加速在有严格知识产权要求的行业中采用AI。
排序理由 该集群描述了一个针对特定工业应用的新型AI系统的开发和架构，包括技术细节以及特定硬件和模型的应用。
AI 生成摘要 · Google Gemini · 来自 31 个来源。 我们如何撰写摘要 →
<p>This release adds support for <code>version="v3"</code> in <code>stream_events</code> / <code>astream_events</code> for <code>langchain</code> agents. Refer to the <a href="https://docs.langchain.com/oss/python/langchain/event-streaming" rel="nofollow">event streaming</a> guid…
<p>Changes since langchain-core==0.3.86</p> <p>chore(infra): merge v1.4 into master (<a class="issue-link js-issue-link" href="https://github.com/langchain-ai/langchain/pull/37350">#37350</a>)<br /> chore: bump urllib3 from 2.6.3 to 2.7.0 in /libs/core (<a class="issue-link js-is…
<p>Changes since langchain==1.2.17</p> <p>release(langchain): 1.2.18 (<a class="issue-link js-issue-link" href="https://github.com/langchain-ai/langchain/pull/37250">#37250</a>)<br /> revert: feat(langchain): ls_agent_type tag on create_agent calls (<a class="issue-link js-issue-…
<p>Changes since langchain-core==0.3.85</p> <p>release(core): 0.3.86 (<a class="issue-link js-issue-link" href="https://github.com/langchain-ai/langchain/pull/37242">#37242</a>)<br /> fix(core): backport path-traversal fix to v0.3 (<a href="https://github.com/advisories/GHSA-qh6h…
<p>Changes since langchain==0.3.29</p> <p>release(langchain): release 0.3.30 (<a class="issue-link js-issue-link" href="https://github.com/langchain-ai/langchain/pull/37241">#37241</a>)<br /> chore(langchain): backport loads/dumps harden to v0.3 and deprecate hub (<a class="issue…
<p>Changes since langchain-classic==1.0.6</p> <p>release(langchain-classic): 1.0.7 (<a class="issue-link js-issue-link" href="https://github.com/langchain-ai/langchain/pull/37240">#37240</a>)<br /> chore(langchain-classic): deprecate hub, limit loads/dumps (<a class="issue-link j…
<p>Initial release</p> <p>release(langchain): 1.3.0a2 (<a class="issue-link js-issue-link" href="https://github.com/langchain-ai/langchain/pull/37225">#37225</a>)<br /> release(langchain): 1.3.0a2 (<a class="issue-link js-issue-link" href="https://github.com/langchain-ai/langchai…
<p>Changes since langchain-classic==1.0.5</p> <p>release(langchain-classic): 1.0.6 (<a class="issue-link js-issue-link" href="https://github.com/langchain-ai/langchain/pull/37211">#37211</a>)<br /> chore: bump jupyter-server from 2.17.0 to 2.18.0 in /libs/langchain (<a class="iss…
<p>Changes since langchain==0.3.28</p> <p>release(langchain): 0.3.29 (<a class="issue-link js-issue-link" href="https://github.com/langchain-ai/langchain/pull/37212">#37212</a>)<br /> fix(langchain): restrict deserialization in <code>langchain.storage._lc_store</code> (<a class="…
<p>Changes since langchain-core==0.3.84</p> <p>release(core): 0.3.85 (<a class="issue-link js-issue-link" href="https://github.com/langchain-ai/langchain/pull/37205">#37205</a>)<br /> fix(core, langchain): harden <code>load()</code> against untrusted manifests (<a class="issue-li…
<p>Changes since langchain-core==1.3.2</p> <p>release(core): 1.3.3 (<a class="issue-link js-issue-link" href="https://github.com/langchain-ai/langchain/pull/37198">#37198</a>)<br /> fix(core): set deprecation <code>since</code> to 1.3.3 to match release (<a class="issue-link js-i…
<p>Changes since langchain-classic==1.0.4</p> <p>release(langchain-classic): 1.0.5 (<a class="issue-link js-issue-link" href="https://github.com/langchain-ai/langchain/pull/37165">#37165</a>)<br /> refactor(langchain-classic): retarget deprecations to <code>create_agent</code>, o…
<p>Changes since langchain-openrouter==0.2.2</p> <p>release(openrouter): 0.2.3 (<a class="issue-link js-issue-link" href="https://github.com/langchain-ai/langchain/pull/37146">#37146</a>)<br /> fix(openrouter): merge fragmented <code>reasoning_details</code> in streaming (<a clas…
<p>Changes since langchain-openrouter==0.2.1</p> <p>release(openrouter): 0.2.2 (<a class="issue-link js-issue-link" href="https://github.com/langchain-ai/langchain/pull/37139">#37139</a>)<br /> feat(openrouter): <code>session_id</code> and <code>trace</code> fields (<a class="iss…
<p>Initial release</p> <p>release(core): 1.4.0a2 (<a class="issue-link js-issue-link" href="https://github.com/langchain-ai/langchain/pull/37134">#37134</a>)<br /> refactor(core): unwind _AsyncEventsResult hybrid for astream_events (<a class="issue-link js-issue-link" href="https…
**Nathan Benaich's State of AI Report** in its 7th year provides a comprehensive overview of AI research and industry trends, including highlights like **BitNet** and the synthetic data debate. **Cerebras** is preparing for an IPO, reflecting growth in AI compute. A hackathon hos…
**LangChain** launched their first report based on **LangSmith** stats revealing top charts for mindshare. On **OpenAI**'s Discord, users raised issues about the **Mixtral model**, noting inconsistencies and comparing it to **Poe's Mixtral**. There were reports of declining outpu…
It's only going to get worse. Labor market, Iran war, Trump, Oligarchs, Autonomous agents, costly AI weapons, Ban-AI 2028 movement.
It’s probably not possible to satisfactorily condense a 12 month’s worth of weird progress in AI, as well as predictions for the year to come, into one video. But I’m gonna try anyway because it has been a very strange time. http://matsprogram.org/s26-aie My new app! https://lmco…
The AI Action Summit will take place in Paris from 10-11 February 2025. Here we list the agenda and key deliverables.
<p>We scoured the internet to find all the AI related predictions for 2024 (at least from people that might know what they are talking about), and, in this episode, we talk about some of the common themes. We also take a moment to look back at 2023 commenting with some distance o…
<h1> Nerq AI Agent Ecosystem Weekly Report: Week Ending 2026-05-18 </h1> <h2> Summary </h2> <p>This week, the Nerq AI agent ecosystem continued to grow steadily, indexing over 259,200 agents, tools, and MCP servers, with a total of 4,152,725 AI assets. Notably, no new agents or t…
<h4>You call create_agent() every day. Do you know what graph it builds internally? Most developers don't.</h4><figure><img alt="" src="https://cdn-images-1.medium.com/max/1024/1*ssHnwrSFrVcsimQabZwexA.png" /></figure><p>You have probably seen the tutorials. Paste some imports, c…
<h1> Nerq AI Agent Ecosystem Weekly Report for Week Ending 2026-05-11 </h1> <h2> Summary </h2> <p>This week, the Nerq AI agent ecosystem continued to maintain its robust indexing capabilities, with no new agents or tools added. The total number of indexed assets remains steady, r…
Elliott Taylor (@googleguy11) 구글의 멀티모달 AI 학습과 추론이 텍스트 기반 중심인 Anthropic, OpenAI와의 주요 차별점이 될 것이며, 향후 AI 경쟁에서 구글에 유리하게 작용할 수 있다는 분석이다. https:// x.com/googleguy11/status/20540 28861348934098 # google # multimodal # ai # openai # anthropic
📰 Build an AI-Powered Learning Management System That Actually Trains People Learn how to build an AI-powered Learning Management System from scratch using Ollama, FastAPI, and React. A step-by-step guide for beginner and intermediate developers. 📰 Source: KDnuggets 🔗 Link: https…
<p>You've been doing this for a while now:<br /> </p> <div class="highlight js-code-highlight"> <pre class="highlight python"><code><span class="n">response</span> <span class="o">=</span> <span class="n">client</span><span class="p">.</span><span class="n">chat</span><span class…
<p>Building a good LLM prompt is not a one-shot task. You assemble pieces, a system message, a few examples, some context, the actual instruction and then you iterate. You compress things that are too long, test whether the output still holds up, check how many tokens you are spe…
DeepSeek contro le AI Statunitensi! Tra closed e open source, geopolitica e sorveglianza 📌 Link all'articolo : https://www. redhotcyber.com/post/deepseek- contro-le-ai-statunitensi-tra-closed-e-open-source-geopolitica-e-sorveglianza/ A cura di Massimiliano Brolli # redhotcyber # …