According to @AndrewYNg, DeepLearning.AI launched a short course, Building and Evaluating Data Agents, created with Snowflake and taught by @datta_cs and @_jreini, focused on embedding comprehensive evaluation into LLM data agents. Source: Andrew Ng on X, Sep 24, 2025. The course teaches the Goal-Plan-Action framework with runtime evaluations to catch failures mid-execution, OpenTelemetry-based tracing and evaluation to pinpoint where agents fail and systematically improve performance, and LangGraph-based orchestration across web search, SQL, and document retrieval for step-by-step visibility—capabilities directly applicable when building data agents used in analytics and trading pipelines. Source: Andrew Ng on X, Sep 24, 2025.

According to AI at Meta, CollaborativeAgentBench is the first benchmark designed to evaluate collaborative LLM agents working alongside humans on multi-turn tasks in backend programming and frontend design. This development could impact trading by potentially increasing productivity and efficiency in software development sectors, which are crucial components in tech industry investments.