Session

Boost and fine-tune your AI Models with Weights and Biases Dashboards

We are deploying our RAG Application with Python, collecting content and uploading to AI Search as vector embeddings. The user asks the Chatbot various questions and the model constructs the answer based on the Data in AI Search Index. User provides feedback with simple thumbs-up, thumbs-down , where we collect and build our Weights and Biases Dashboards for evaluation and fine-tuning. A simple, yet much needed showcase of Fine Tuning techniques as we progress in the integrated AI Web Apps.

Konstantinos Passadis

Solutions Architect - Microsoft Azure MVP

Athens, Greece

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