#Python Changes since langchain==1.3.10 release(langchain): 1.3.11 (strict=True on tools for OpenAI-compatible models in ProviderStrategy (<a class="issue-link js-issue-link" data-error-text="Failed to load title" data-id="4720006179" data-permission-text="Title is private" data-url=" data-hovercard-type="pull_request" data-hovercard-url="/langchain-ai/langchain/pull/38370/hovercard" href=" chore: bump pydantic-settings from 2.12.0 to 2.14.2 in /libs/langchain_v1 (<a class="issue-link js-issu... Read more ›
Explore how the GitHub Copilot agentic harness delivers strong results across multiple benchmarks and leading token efficiency, while maintaining flexibility to choose among more than 20 models. The post appeared first on . Read more ›
AI agents are a growing priority for enterprises, with many companies interested in deploying them for a wide range of purposes, from software development and marketing to sales and customer support. Most discussions revolve around single AI agents. However, Gartner has seen a 1,445% surge in inquiries about multi-agent systems (MAS) from Q1 2024 to <a class="read_more" href=" Read more ›
Anthropic told the Senate Commerce Committee that Alibaba ran a systematic years-long campaign to train Qwen models using Claude's API outputs, a practice the company calls theft that no federal court has yet evaluated. Congress appears ready to legislate before the courts catch up. Read more ›
In cooperative multi-agent reinforcement learning (MARL), from a deployment perspective, it is challenging and expensive to train agents from scratch for each new environment or task. In this work, we propose GCT-MARL, a transfer learning framework that builds on the multi-view graph contrastive backbone of MAIL and augments it with a per-view, adaptively weighted alignment loss and a two-phase training protocol specifically designed for trans... Read more ›
With the development of smart civil aviation, the cybersecurity situation for air traffic management (ATM) continues to be critical. The increasingly exposed attack surface demands more advanced technologies and methods for protection. Large language models (LLMs) have been widely applied in cybersecurity, which has provided a novel paradigm for reconstructing ATM cybersecurity defense systems. However, existing vertical domain LLMs in ATM focus on providing passenger services and supporting ... Read more ›
## All Godot posts: - Godot 101: Intro to 3D, Part 4 - Sat, Mar 23, 2019 - Godot 101: Intro to 3D, Part 3 - Sun, Mar 10, 2019 - Godot 101: Intro to 3D, Part 2 - Sat, Mar 9, 2019 - Godot 101: Intro to 3D - Fri, Mar 8, 2019 - Procedural Generation in Godot - Part 8: Dungeons \(part 3\) - Tue, Dec 18, 2018 - Procedural Generation in Godot - Part 7: Dungeons \(part 2\) - Sun, Dec 9, 2018 - Procedural Generation in Godot - Part 6: Dungeons - Tue, Dec 4, 2018 - Procedural Generation in Godot - Par... Read more ›
Everyone has heard of prompt engineering by now. Write better instructions, get better outputs. Add a few examples, be specific, tell the… Read more ›
Author(s): Ayo Akinkugbe Originally published on Towards AI. Understanding Reinforcement Learning — A Primer Photo by Girl with red hat on Unsplash Introduction: Learning by Trial and Error Imagine teaching a dog to fetch a ball. You don’t hand the dog a manual titled “The Complete Guide to Ball Retrieval.” Instead, you throw the ball, and when the dog brings it back, you give it a treat. When the dog gets distracted and wanders off, you withhold the treat. Over dozens of repetitions, the dog... Read more ›
Discover Mistral AI technologies capabilities from basic tutorials to advanced use cases Read more ›
What it takes to ship a generative AI product – from inference economics and safety guardrails to the question vibe coding can’t answer. Read more ›
🚀 Everyone is talking about AI, RAG, Embeddings, and Vector Databases. Read more ›
Samsung Electronics is expanding employee access to ChatGPT Enterprise and Codex, giving staff wider use of AI tools for technical and non-technical work. According to OpenAI, the deployment covers all Samsung Electronics employees in Korea and all Device eXperience employees worldwide. The DX division includes smartphones, consumer electronics, and home appliances. Samsung plans to use […] The post appeared first on . Read more ›
Introduction Organizations that use feature flags alongside incident response tooling often connect the two manually. When an outage occurs, engineers must identify which flags are relevant, decide whether to disable them, and coordinate the change across teams. This manual process adds latency at the moment it matters most. AWS DevOps Agent uses its MCP server […] Read more ›
> Fetch the complete documentation index at: > Use this file to discover all available pages before exploring further. # Overview > Claude Code is an agentic coding tool that reads your codebase, edits files, runs commands, and integrates with your development tools. Available in your terminal, IDE, desktop app, and browser. Claude Code is an AI-powered coding assistant that helps you build features, fix bugs, and automate development tasks. It understands your entire codebase and can wor... Read more ›
In this article, you will learn how to distinguish agentic workflows from autonomous agents by focusing on who owns control flow — a human writing code in advance, or a model reasoning at runtime. Read more ›
ParallelKernelBench tests whether LLMs can write fast multi-GPU CUDA kernels across 87 real workloads. The best model solves under a third, but a few generated kernels beat any public implementation. Read more ›
The simple workflow saves me hours weekly Read more ›
The Number You See Is Not What You Get When Anthropic announced Claude’s 200,000-token context window, or when Google unveiled Gemini 1.5 Pro with a million-token window, the coverage treated it as straightforward progress. More tokens in, more capability out. The framing makes intuitive sense: if a model can see more text at once, it should be able to reason about more text at once. This is not quite right. Context window size and context window effectiveness are two different things, and th... Read more ›
Why smart enough, fast enough, and cheap enough is good enough Read more ›