Search Results for "machine learning"
LangChain Unveils Four Multi-Agent Architecture Patterns for AI Development
LangChain releases comprehensive guide to multi-agent AI systems, detailing subagents, skills, handoffs, and router patterns with performance benchmarks.
GitHub Copilot Gains Cross-Agent Memory System in Public Preview
GitHub launches memory feature for Copilot agents, enabling AI assistants to learn from past interactions and share knowledge across coding, CLI, and code review workflows.
LangChain Tackles AI Agent Observability Gap With New Insights Tool
LangChain launches Insights Agent to analyze 100k+ daily traces from AI agents, addressing the critical gap between data collection and actionable understanding.
Anthropic Releases Full AI Constitution for Claude Under Open License
Anthropic publishes Claude's complete training constitution under CC0 license, detailing AI safety priorities and ethical guidelines as company eyes $350B valuation.
GPU Waste Crisis Hits AI Production as Utilization Drops Below 50%
New analysis reveals production AI workloads achieve under 50% GPU utilization, with CPU-centric architectures blamed for billions in wasted compute resources.
AI Inference Costs Drop 40% With New GPU Optimization Tactics
Together AI reveals production-tested techniques cutting inference latency by 50-100ms while reducing per-token costs up to 5x through quantization and smart decoding.
Anthropic Shares Multi-Agent AI Framework for Developers
Anthropic reveals when multi-agent systems outperform single AI agents, citing 3-10x token costs and three specific use cases worth the overhead.
Together AI Launches DSGym Framework for Training Data Science AI Agents
Together AI's DSGym framework benchmarks LLM agents on 90+ bioinformatics tasks and 92 Kaggle competitions. Their 4B parameter model matches larger rivals.
NVIDIA Megatron Core Gets Dynamic-CP Update With 48% Training Speedups
NVIDIA releases Dynamic Context Parallelism for Megatron Core, achieving up to 1.48x faster LLM training and 35% gains in industrial deployments.
Together AI Drops Largest Open Dataset for Training Coding Agents
TogetherCoder-Preview releases 161K verified coding trajectories achieving 59.4% on SWE-Bench, giving developers unprecedented training data for AI agents.
NVIDIA Releases Open Source Tools for License-Safe AI Model Training
NVIDIA's NeMo Data Designer enables developers to build synthetic data pipelines for AI distillation without licensing headaches or massive datasets.
TOFU: How AI Can Forget Your Privacy Data
TOFU, a AI model, tackles the challenge of machine unlearning, aiming to make AI systems forget specific, unwanted data while retaining overall knowledge.