Guidance on crafting prompts and leveraging Copilot's context-aware features for better results.

Hands-on exercises comparing weak vs. strong prompts

Hands-on learning on building and evaluating generative AI solutions with LLMs responsibly at scale. Learn to create visual executable flows linking LLMs, vector embeddings, prompts, and Python tools; evaluate performance metrics and responsible AI issues such as groundedness, hallucinations, and relevance. Pre-requisites: Basic understanding of Python.

Tackle the common challenges encountered during the development of LLM Agents, and see how integrations with Weights & Biases can provide clarity and control through 'Traces' and 'Prompts'.