All tags
Topic: "error-analysis"
not much happened today
claude-3.5-sonnet opencoder anthropic microsoft sambanova openai langchain llamaindex multi-agent-systems natural-language-interfaces batch-processing harmful-content-detection secret-management retrieval-augmented-generation error-analysis memory-management web-scraping autonomous-agents sophiamyang tom_doerr omarsar0 _akhaliq andrewyng giffmana
This week in AI news, Anthropic launched Claude Sonnet 3.5, enabling desktop app control via natural language. Microsoft introduced Magentic-One, a multi-agent system built on the AutoGen framework. OpenCoder was unveiled as an AI-powered code cookbook for large language models. SambaNova is sponsoring a hackathon with prizes up to $5000 for building real-time AI agents. Sophiamyang announced new Batch and Moderation APIs with 50% lower cost and multi-dimensional harmful text detection. Open-source tools like Infisical for secret management, CrewAI for autonomous agent orchestration, and Crawlee for web scraping were released. Research highlights include SCIPE for error analysis in LLM chains, Context Refinement Agent for improved retrieval-augmented generation, and MemGPT for managing LLM memory. The week also saw a legal win for OpenAI in the RawStory copyright case, affirming that facts used in LLM training are not copyrightable.
Creating a LLM-as-a-Judge
claude-3.5-sonnet claude-3.5 notebooklm simpleqa recraft-v3 anthropic openai deepmind apple zep perplexity-ai github critique-shadowing llm-judging domain-experts dataset-creation prompt-engineering error-analysis temporal-knowledge-graphs memory-layer ai-agent-memory hallucination-reduction integration hamel-husain swyx
Anthropic released details on Claude 3.5 SWEBench+SWEAgent, while OpenAI introduced SimpleQA and DeepMind launched NotebookLM. Apple announced new M4 Macbooks, and a new SOTA image model, Recraft v3, emerged. Hamel Husain presented a detailed 6,000-word treatise on creating LLM judges using a method called critique shadowing to align LLMs with domain experts, addressing the problem of untrusted and unused data in AI teams. The workflow involves expert-reviewed datasets and iterative prompt refinement. Additionally, Zep introduced a temporal knowledge graph memory layer to improve AI agent memory and reduce hallucinations. Anthropic also integrated Claude 3.5 Sonnet with GitHub Copilot, expanding access to Copilot Chat users.