Results for “agents”

…discussion on its relevance to current projects. Unity ML Agents for Language Model Training: Catch the latest YouTube video about training LLMs from scratch with Unity ML Agents and sentence transformers. Highlighting Oproof Validation…

…bank included prompt injection and jailbreaking attempts. Agents had to classify requests, assess urgency, and justify replying or escalating; choosing either action for every ticket was invalid. Participants chose their own retrieval…

…of comments where Model Labs are increasingly also building Agents as the product: The quote is a big reversal of stance from a position ~uniformly held by anyone who worked at Team Big Model, including his previous head of OpenAI Labs:…

…founded by Zach Lloyd whose products span a terminal, coding agents and cloud orchestration. Its Warp Factories infrastructure, announced in closed beta on August 18, 2026, lets organizations build automated software-development loops with …

…like Ryan Nolan's beginner-friendly guide to Langchain Agents for 2024 and @a404.eth’s deep-dive into RAG creation using LangChain emphasize community-building knowledge and skill development, accessible via YouTube and YouTube…

…experiences part of the platform’s creation process. 2026: agents and collaborative development The August 21, 2026 update introduced more structured collaboration. Users could offer a remix back through “Suggest to original”; the original …

…Agentic Engineering SOTA Audio models, Fast Chips, and Koding Agents are all you need.

…a starting point and argues that better abstractions could help agents learn on the job. The pushback is that memory may be difficult rather than neglected. Swyx acknowledges efforts such as LangMem, while maintaining that persistent memory…

…of Voice Lab, a framework designed for evaluating LLM-powered agents across various models and prompts, available on GitHub. Voice Lab aims to refine prompts and enhance agent performance, actively inviting community contributions and…

…feels substantially more productive with asynchronous coding agents but rejects treating an intuitive “10×” as a measured speedup. A fixed historical task set captures only part of the change: AI also expands what people attempt. A…

…podcast on Cursor when they were 5 people: And then recapping agents at ICML 2024 with Graham Neubig: And then their third era in 2026: And talking about how they do FDE in the Enterprise: AI News for 8/13/2026-8/14/2026. We checked 12…

…underrating multimodality. A focus on reliable reasoning and agents had made image and video generation seem less central. Sora prompts a reassessment of their cultural and human impact. The optimistic argument is that depicting motion…