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LLM Bootcamp - Spring 2023

What are the pre-requisites for this bootcamp?

Our goal is to get you 100% caught up to state-of-the-art and ready to build and deploy LLM apps, no matter what your level of experience with machine learning is.

Please enjoy, and email us, tweet us, or post in our Discord if you have any questions or feedback!

Lectures

Learn to Spell: Prompt Engineering

Prompt Engineering Lecture Cover

  • High-level intuitions for prompting
  • Tips and tricks for effective prompting: decomposition/chain-of-thought, self-criticism, ensembling
  • Gotchas: "few-shot learning" and tokenization

LLMOps

LLMOps Lecture Cover

  • Comparing and evaluating open source and proprietary models
  • Iteration and prompt management
  • Applying test-driven-development and continuous integration to LLMs

UX for Language User Interfaces

UX for LUIs Lecture Cover

  • General principles for user-centered design
  • Emerging patterns in UX design for LUIs
  • UX case studies: GitHub Copilot and Bing Chat

Augmented Language Models

  • Augmenting language model inputs with external knowledge
  • Vector indices and embedding management systems
  • Augmenting language model outputs with external tools

Launch an LLM App in One Hour

  • Why is now the right time to build?
  • Techniques and tools for the tinkering and discovery phase: ChatGPT, LangChain, Colab
  • A simple stack for quickly launching augmented LLM applications

LLM Foundations

  • Speed-run of ML fundamentals
  • The Transformer architecture
  • Notable LLMs and their datasets

Project Walkthrough: askFSDL

    • Walkthrough of a GitHub repo for sourced Q&A with LLMs
    • Try it out via a bot in our Discord
    • Python project tooling, ETL/data processing, deployment on Modal, and monitoring with Gantry

What's Next?

What's Next Lecture Cover

  • Can we build general purpose robots using multimodal models?
  • Will models get bigger or smaller? Are we running out of data?
  • How close are we to AGI? Can we make it safe?

Invited Talks

We'll post the invited talks soon!

We will be sure to email our subscribers as soon as these videos are available. If you have not yet subscribed, you can do so here.

Photo of Peter Welinder
Peter Welinder, VP of Product and Partnerships at OpenAI, spoke about his career and the future of OpenAI.
Photo of Reza Shabani
Reza Shabani, Head of AI at Replit, spoke about training LLMs from scratch.
Photo of Harrison Chase
Harrison Chase, the creator of LangChain, spoke about LLM-powered agents.
Photo of Richard Socher
Richard Socher, the co-founder and CEO of you.com, talked about his past in NLP research and the future of search and language models.

Sponsors

We are deeply grateful to all of the sponsors who helped make this event happen.

Direct Sponsors

Compute Credit Sponsors

We are excited to share this course with you for free.

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