Results for “agents”

…Issues with Autogen's Group Chat: @DAW reports a concern about agents in Autogen's group chat repeating the same message using GPT-4. They wonder whether the concept of Autogen, albeit cool, falls short in implementing real use cases.…

…baseline and 51.1% for official instruction-tuned models. Agents sometimes surpassed official models on a narrow target, but the comparison involved different training budgets and objectives: benchmark-specific optimization versus broad…

…a blog on the latest in vision language models, including GUI agents, multimodal RAG, video LMs, and smol models, and @reach_vb announced the blogpost "From Zero to Hero on all things Vision Language Models - from multimodal to reasoning to…

…reward-trained network. In their online, simulated tasks, agents explored from scratch without supplied rewards or demonstrations. The critic learned to distinguish state-action pairs and future goals from the same trajectory from pairs…

…he'd favor mandating a "responsible disclosure" period. AI Agents and Frameworks Rakis data analysis: @hrishioa provided a primer on how an inference request is processed in Rakis to enable trustless distributed inference, using techniques …

…infrastructure, model orchestration, and evaluation of voice agents. In his public engineering writing, he treats response speed, reliable tool use, and conversation context as connected requirements: a model that answers correctly can…

…usage by 46.9%, and operational safety measures for coding agents with allow/deny lists. MCP integration is expanding across assistants and robotics, with Hugging Face embedding assistants via HuggingChat + HF MCP server. The DeepSeek-R1…

…who leads internal AI adoption and advocates using coding agents across the work of creating software. He became GitHub’s Chief Operating Officer in April 2023; in June and July 2026, he also held Microsoft’s CMO of Developer role. His work…

…lets us reflect on the growing trend of CLIs for ~everything~ agents

…deployment decisions around quality, cost, and latency. For agents, the unit of consideration is the workflow, including repeated model calls, context lengths, and latency requirements. His approach is to establish the required quality and …

…@emrgnt_cmplxty shared a Twitter link of a project named AgentSearch, aiming to enhance knowledge accessibility for LLM agents: Project on Twitter. Talk on the cost implications of utilizing various models, with .beowulfbr discussing the…

…experiments. His subsequent AI work includes using coding agents to update production software and testing where model-generated game design breaks down. He uses the handle kkukshtel on Twitter and GitHub. Kukshtel's personal website, as of…