Results for “agents”

…A paper from Meta and colleagues presented self-challenging LLM agents as a path toward self-improving AI. Another paper found that for a single problem, Supervised Fine-tuning (SFT) can achieve similar gains as Reinforcement Learning (RL),…

…data platform with LangGraph.js to build JavaScript AI agents, covering Node.js integration and state persistence. Arch AI-Native Proxy: @_akhaliq introduced Arch, an AI-native proxy for agents, built by Envoy contributors, with features…

…Ng and Hugging Face offer a new short course on building Code Agents with Hugging Face smolagents, which use LLMs to generate a single block of code for a sequence of actions @AndrewYNg. Code agents outperform function-calling agents and…

…MATH benchmark records. Surveys on Mamba models and LLM-based agents for software engineering were highlighted. Open-source tools like R2R RAG engine and LlamaIndex Workflows were introduced. Mistral AI launched AI agents for building…

…(STT) models designed to be fast and affordable for voice agents @krandiash. Sakana AI Labs introduced Text-to-LoRA, a hypernetwork that generates task-specific LLM adapters (LoRAs) from a text description of the task, offering significant …

…approach by Sakana AI Labs, was introduced to develop LLM agents with niche capabilities using quality diversity techniques.

…LangChain introduced the concept of Context Engineering for AI agents. Reinforcement learning on LLMs shows transformative potential, and the community values AI evals and data work. Sakana AI released Text-to-LoRA, a hypernetwork method…

…Neo4j/Pfizer's presentation, and OpenAI's first definition of Agents. Speakers announced $930 million in funding. On AI Twitter, discussions focused on Grok-3 and o3-mini models, with debates on performance and benchmarking, including…

…inference/self-verification), and reactions by @cloneofsimo. UI agents via reinforcement fine-tuning: Ant Group’s UI-Venus (built on Qwen2.5-VL) uses Group Relative Policy Optimization with tailored rewards to ground and navigate from…

…Exhibits a test time scaling curve: As Sam says, there are more agents to launch in the coming weeks and months {% if medium == 'web' %} Table of Contents [TOC] {% else %} The Table of Contents and Channel Summaries have been moved to the…

…training. Podium reported over $100 million ARR from 10,000+ AI agents, shifting from software sales to AI operators. Innovations in agent memory and reliability include the Agent Cognitive Compressor (ACC) and multi-agent scientific…

…with several limitations, and no local model was released. AI Agents Outperform Humans in Spear Phishing: Hoxhunt's AI agents have surpassed human red teams in creating effective simulated phishing campaigns, marking a significant shift in …