Title of the talk/workshop
Putting together Function Calling and RAGs with Gemini
Abstract of the talk/workshop
In this hands on session I will walk the audience through understanding Function Calling with Gemini along with how to use RAGs to complement accurately generated answers from Gemini APIs.
Category of the talk/workshop
Data Science, Machine Learning, and AI
Duration (including Q&A)
90 mins, QA will go along with the session and rest offline
Level of Audience
Beginner to Intermediate
Speaker Bio
Speaker Bio: A seasoned developer since the pre-Bootstrap era, Anubhav has extensive experience as a freelancer and AI startup founder. He authored "Hands-on Python Deep Learning for Web" and "Mobile Deep Learning with TensorFlow Lite, ML Kit, and Flutter." A Google Developer Expert in Machine Learning and GCP, he was a co-organizer for GDG Cloud Kolkata and TFUG Kolkata communities. Anubhav is often found discussing System Architecture, Machine Learning, and Web technologies.
Company: Callchimp.ai
Email: xprilion@gmail.com
Years of exp: 4
Prerequisites(if any)
Google Chrome
A Google Account
Code Editor with Python support (Optional, can follow along on Colab)
Title of the talk/workshop Putting together Function Calling and RAGs with Gemini
Abstract of the talk/workshop In this hands on session I will walk the audience through understanding Function Calling with Gemini along with how to use RAGs to complement accurately generated answers from Gemini APIs.
Will be starting with this codelab - https://codelabs.developers.google.com/codelabs/gemini-function-calling. And follow this repo for minimal conceptual understanding of RAGs - https://github.com/xprilion/pure-python-rag-with-in-memory-vector-db
Category of the talk/workshop Data Science, Machine Learning, and AI
Duration (including Q&A) 90 mins, QA will go along with the session and rest offline
Level of Audience Beginner to Intermediate
Speaker Bio
Prerequisites(if any)