Explore the world of Large Language Models (LLMs) in this comprehensive information session for Data Science Dojo's 40-hour bootcamp. Gain insights into the bootcamp structure, core topics, and hands-on projects. Discover common LLM use cases, prerequisites, and the technology stack employed. Delve into key concepts such as generative AI foundations, embeddings, vector databases, semantic search, prompt engineering, orchestration frameworks, autonomous agents, and LLM Ops. Learn about the project component, model fine-tuning techniques, and industry partnerships. Get a detailed overview of the bootcamp schedule and participate in a Q&A session to address any queries. Whether you're an AI enthusiast, tech professional, or curious learner, this session provides valuable information to kickstart your journey into building LLM-powered applications.
Large Language Models Bootcamp Information Session
Overview
Syllabus
– Introduction
– About Data Science Dojo
– Story of this bootcamp
– Common LLM use cases
– About the bootcamp
– Prerequisites
– Technology stack
– Generative AI and LLM foundations
– Embeddings and vector databases
– Semantic search
– Prompt engineering
– Orchestration framework
– Autonomous agent
– LLM Ops
– Project
– Model fine-tuning
– Partnerships
– Next tutorial
– Bootcamp schedule
– Q/A
Taught by
Data Science Dojo
