Unleashing the Power of Private AI: Building an Open-Source ChatGPT Clone That Beats the Odds
In the age of privacy and compliance, open-source AI isn't just an alternative - it's an imperative. In this code-level expedition, AI infrastructure trailblazer Paul Hetherington takes you step-by-step through building a private, open-source chatbot that goes toe-to-toe with ChatGPT.
Uncover the transformative potential of Retrieval Augmented Generation (RAG), the secret weapon that allows open-source language models to draw upon real-time data. Paul unboxes an arsenal of tools, from vector databases to Redis to Google's Custom Search API, equipping you to construct an information retrieval powerhouse.
But this isn't just theory. Strap in as Paul conducts a live demo of a fully-private, open-source chatbot, showcasing the jaw-dropping capabilities of the newest open-source models. Witness why data quality trumps model size in the quest for AI performance.
Paul confronts the elephants in the room, from the ever-present specter of context length limitations to the whiplash-inducing velocity of open-source model evolution. He distills hard-won wisdom, arguing for a ruthless focus on product and UX, and enlisting battle-tested tools to tame the beast of deployment.
Whether you're in the trenches of ML engineering, at the helm of an AI startup, or simply electrified by the future of open-source AI, this talk is a wellspring of epiphanies. Join the full session to learn how to wield the might of open-source AI while conquering its most daunting challenges. The age of private AI supremacy is here.
