Results for “agents”

…Theme 4. Innovative AI Applications and Tools LangGraph Agents and LangChain's Voice Capabilities: A video tutorial illustrates the transformation of LangGraph agents into voice-enabled assistants using OpenAI's Whisper for input and…

[AINews] not much happened today Anthropic introduces durable agents and MCP tasks for long-running workflows, with practical engineering patterns and integrations like Prefect. Booking.com deploys a large-scale agent system improving…

…it as production-ready for long-horizon coding and tool-using agents, citing 28% coding improvement over GLM-5 from RL post-training and support for thinking mode, structured JSON, and many-round tool use @togethercompute. Qwen3.6 Plus…

…Discussions on RAG's role in LlamaIndex's introspective agents. Optimizing Training Pipelines: Axolotl improved data preprocessing parallelism. Leveraging DeepSpeed Stage 3 and Flash Attention for efficient large model training. 3. Open…

…Mem0 and 30× lower tokens per query (531 vs 16,910) (@dair_ai). Agents & developer tooling: eval infra, CLI-first workflows, and “LLM OS” moves Anthropic “Cowork”: Claude Code UX for non-coding work: Anthropic positions Cowork as “Claude…

…now use Claude to save hours on coding tasks. Mixture of Agents Beats GPT-4: @corbtt introduced a Mixture of Agents (MoA) model that beats GPT-4 while being 25x cheaper. It generates initial completions, reflects, and produces a final…

…Agent frameworks, wallets, and managed RAG LangChain Deep Agents for JS: Deep Agents is now in TypeScript/JS (on LangGraph 1.0) with planning tools, sub‑agents, and filesystem access. The team released production‑quality reference tutorials…

…"dead on arrival". AI Benchmarks and Evaluations Mixture of Agents (MoA): @corbtt introduced MoA model+FT pipeline that beats GPT-4 but is 25x cheaper. Humans prefer MoA outputs vs GPT-4 59% of the time. New SOTA on Arena-Hard (84.8) and…

…Agent Based Frameworks and Workflows AWS Framework for AI Agents: @LiorOnAI reports that AWS released an open-source framework that lets you orchestrate multiple AI agents and handle complex conversations, able to be deployed locally on…

…discussion about future developments including Multimodal RAG + agents. The 28B parameter size was particularly celebrated for balancing capability with accessibility. PaliGemma 2 Release - a Google Collection (Score: 56, Comments: 7):…

…for a public institution” Multi-Agent Systems and LangGraph Agents in DevOps workflows: @LangChainAI reported on Cisco harnessing the power of LangGraph to bring intelligent automation to DevOps workflows. LangGraph for Agentic Systems:…

…sync. Gemini 3.8 Live and the Push Toward Real-Time Voice AgentsGoogle’s new live audio models: Google launched Gemini 3.8 Live and 3.8 Live Extended Thinking, positioned as conversational models that can talk, think, and handle tasks in…