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shift-left's Introduction

Shift Left: How to Become an AI Engineer from a Fullstack Background

A practical guide that that teaches you the comprehensive best-practice skills and knowledge required to launch a professional AI Engineering career – think of it as an AI Engineering bootcamp.

Shift Left: How to Become an AI Engineer from a Fullstack Background (Full Video Presentation)

Full Presentation Video

Presentation Slides

Section 1: Overview to Large Language Models

  1. Cohere Module 1: What are Large Language Models?

Section 2: Prompt Engineering

  1. Prompt Engineering Guide Video Overview
  2. Prompt Engineering Guide
  3. Learn Prompting Org Guide

Section 3: Open AI

  1. OpenAI Docs
  2. OpenAI API Reference
  3. OpenAI Cookbook

Section 4: LangChain

  1. Command Bar LangChain Non-Technical Executive Summary
  2. Onkar Mishra's "Plain English" LangChain Guide
  3. LangChain Overview Docs
  4. LangChain Python Docs
  5. LangChain JS/TS Docs
  6. Mayo Oshin's LangChain Beginners Coding Tutorial

Section 5: Evaluating AI Models

  1. OpenAI Example Eval Cookbook
  2. OpenAI Evals Framework

Section 6: Fine-Tuning

  1. OpenAI Fine-tuning Cookboook
  2. Llama 2 Fine-tuning walkthrough & Case Study
  3. Fine-tuning strengths/weaknesses
  4. Open-source fine-tuning cost savings example

Final Section: Advanced Study ("Post-Bootcamp")

  1. Fast AI: Practical Deep Learning for Coders (Part 1)
  2. HuggingFace NLP Course
  3. HuggingFace Documentation:
    1. Evaluations
    2. Transformers Library
    3. PEFT (efficient fine-tuning)

shift-left's People

Contributors

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