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.
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Build Scalable Memory for LLMs with Graphs and Vectors
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Build Scalable Memory for LLMs with Graphs and Vectors
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Build Scalable Memory for LLMs with Graphs and Vectors
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Azure ML prompt flow | Building trustworthy AI systems with Responsible AI Toolb
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Retrieval, search and knowledge in the age of LLM and Vector Databases
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