Results for “agents”

…RAG (Retrieval-Augmented Generation), JamAI Base for Mixture of Agents, and LangSmith filtering enhancements were also discussed. Google DeepMind introduced PEER (Parameter Efficient Expert Retrieval) architecture for efficient expert…

…the shift of ChatGPT from interactive use to always-on ambient agents requiring massive compute, emphasizing the challenge of building chips for billions of users. The in-house ASIC effort was driven by the need for tailored designs after…

…to benchmark AI agent coding abilities, showing current agents struggle with long-horizon planning. CodeAct, a new agent framework from llamaindex, generalizes ReAct by enabling dynamic code writing. LangChain explains multi-agent handoffs …

…repo for crawling websites and extracting LLM-ready data for AI agents, RAG, and data pipelines. Hayhooks for Haystack pipelines: @dl_weekly highlights Hayhooks, an open-source package that turns Haystack pipelines into production-ready…

…with 2 embedded GPUs, without needing network calls yet. AI Agents and Tooling Agent Workflows and Frameworks: @LangChainAI announced a Resources Hub with guides on building AI agents, including reports on AI trends and company use cases…

…RL was likely an underrated lever for scaling two years ago. AI Agents, Tooling & Frameworks Rise of Browser and Coding Agents: Perplexity Comet, a new browser agent, has received positive feedback for automating tasks, with users like…

…improve information retrieval with fine-grained citations. AI Agents: @bindureddy announced that their AI engineer can now build simple agents using English language instructions, generating, executing, and deploying code. They suggested…

…Rotary Position Embeddings for stability at scale (paper link). Agents in practice: reliability, scope, and longer‑running sessions Scope > “do anything”: Teams warn that “ask‑me‑anything” agents create an evaluation death spiral;…

…guide here. This set-up facilitates communication between agents and enhances the development experience essential for building robust AI systems. Using HuggingFace Inference API for Embeddings: The HuggingFace Inference API enables…

…training on massive datasets. The team demonstrated training agents on 1 Petabyte (12,000 years) of data with a single server, as shared by @slashML. Warp 2.0 Launches as an "Agentic Development Environment": Warp has launched version 2.0, …

…the initial focus will be on Vision Language Models (VLMs). LLM Agents (Berkeley MOOC) Discord Today's Lecture on AI Frameworks and Multimodal Assistants: The 3rd lecture of the Berkeley MOOC, featuring this livestream, will cover Agentic…

…helps during cloud outages. IBM and Groq are pairing watsonx agents with Groq LPU inference (claimed 5× faster at 20% of cost) and enabling vLLM-on-Groq, indicating the agent stack is rapidly diversifying beyond a single cloud. See @cline, …