Join Code & Deploy host Eze Lanza and special guest Aarushi Kansal, AI engineer at AutoGPT, as they show you how to build your own intelligent agent that can curate a personalized skincare routine which will leave you glowing. They’ll start with an introduction to the AutoGPT system, but you can choose to replicate the code in other frameworks or write it from scratch. Next, they’ll talk about retrieval augmented generation (RAG) and show you how to build a pipeline using a vector database—they’ll use Weaviate, but you can use whichever one you prefer. For this demo, Eze and Aarushi will be using Ollama [Mistral] so you can run the large language model (LLM) locally yourself.
The main goal of the demo is to show you how to set up a reliable RAG-based system that minimizes hallucination, allows you to use your own data (without the overhead of fine-tuning), is controllable by you, and—bonus—leaves you with a plan for achieving great-looking skin.
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