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3-Week Building LLMs Bootcamp
  • Welcome to the Bootcamp
    • Course Structure
    • Course Syllabus and Timelines
    • Know your Educators
    • Action Items and Prerequisites
    • Kick Off Session at Tryst 2024
  • Basics of LLMs
    • What is Generative AI?
    • What is a Large Language Model?
    • Advantages and Applications of LLMs
    • Bonus Resource: Multimodal LLMs and Google Gemini
    • Group Session Recording
  • Word Vectors, Simplified
    • What is a Word Vector
    • Word Vector Relationships
    • Role of Context in LLMs
    • Transforming Vectors into LLM Responses
    • Bonus Section: Overview of the Transformers Architecture
      • Attention Mechanism
      • Multi-Head Attention and Transformers Architecture
      • Vision Transformers
    • Graded Quiz 1
    • Group Session Recording
  • Prompt Engineering and Token Limits
    • What is Prompt Engineering
    • Prompt Engineering and In-context Learning
    • For Starters: Best Practices to Follow
    • Navigating Token Limits
    • Hallucinations in LLMs
    • Prompt Engineering Excercise (Ungraded)
      • Story for the Excercise: The eSports Enigma
      • Your Task for the Module
    • Group Session Recording
  • RAG and LLM Architecture
    • What is Retrieval Augmented Generation (RAG)?
    • Primer to RAG: Pre-trained and Fine-Tuned LLMs
    • In-context Learning
    • High-level LLM Architecture Components for In-context Learning
    • Diving Deeper: LLM Architecture Components
    • Basic RAG Architecture with Key Components
    • RAG versus Fine-Tuning and Prompt Engineering
    • Versatility and Efficiency in RAG
    • Key Benefits of using RAG in an Enterprise/Production Setup
    • Hands-on Demo: Performing Similarity Search in Vectors (Bonus Module)
    • Using kNN and LSH to Enhance Similarity Search (Bonus Module)
    • Bonus Video: Implementing End-to-End RAG | 1-Hour Session
    • Group Session Recording
    • Graded Quiz 2
  • Hands-on Development
    • Prerequisites
    • 1 – Dropbox Retrieval App
      • Understanding Docker
      • Building the Dockerized App
      • Retrofitting your Dropbox app
    • 2 – Amazon Discounts App
      • How the Project Works
      • Building the App
    • 3 – RAG with Open Source and Running "Examples"
    • 4 (Bonus) – Realtime RAG with LlamaIndex/Langchain and Pathway
      • Understanding the Basics
      • Implementation with LlamaIndex and Langchain
    • Building LLM Apps with Open AI Alternatives using LiteLLM
  • Bonus Resource: Recorded Interactions from the Archives
  • Final Project + Giveaways
    • Prizes and Giveaways
    • Suggested Tracks for Ideation
    • Sample Projects and Additional Resources
    • Form for Submission
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  • Module Release Timelines and the Coursework:
  • Note:
  • What are Bonus Sections/Resources?

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  1. Welcome to the Bootcamp

Course Syllabus and Timelines

PreviousCourse StructureNextKnow your Educators

Last updated 1 year ago

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By the end of this course, you will:

  • Be proficient in developing LLM-based applications for production applications from day 0.

  • Have a clear understanding of LLM architecture and pipeline.

  • Be able to perform prompt engineering to use generative AI tools such as ChatGPT.

  • Create an open-source project on a real-time stream of data or static data.

Module Release Timelines and the Coursework:

Module
Topics
Module
Topics
Module
Topics
Module
Topics
Module
Topics
Module
Topics
Module
Topics

Note:

Once the problem statements and the hands-on development module are released on the 10th of April 2024, the project submissions will be open till 21st of April 2024, Monday 12 am CEST.

What are Bonus Sections/Resources?

Throughout the bootcamp, you'll see some modules or links labeled as bonus resources. These are not compulsory for building a project by the end of the bootcamp or attempting the quizzes.

Nonetheless, they are relevant resources that could enhance your understanding, although they might require additional prerequisites. Depending on your starting point and the pace you're progressing through the bootcamp, you can explore or park these bonus materials.

1 – Basics of LLMs

  • What is generative AI and how it's different

  • Understanding LLMs

  • Advantages and Common Industry Applications

  • Bonus section: Google Gemini and Multimodal LLMs

--- Release date: 31st March '24

2 – Word Vectors

  • What are word vectors and word-vector relationships?

  • Role of context

  • Transforming vectors in LLM responses

  • Overview of Transformers Architecture

  • Bonus Resource: Transformers Architecture, Self-attention, Multi-head attention, and Vision Transformers

--- Release date: 2nd April '24

3 – Prompt Engineering

  • Introduction and in-context learning

  • Best practices to follow: Few Shot Prompting and more

  • Token Limits

  • Prompt Engineering Exercise (Ungraded)

--

Release date: 4th April '24 --- Pushed by a day.

Refresher Module

  • Overview of learnings so far sent over registered email address.

  • Release of bootcamp keynote session(s).

4 – RAG and LLM Architecture

  • Introduction to RAG

  • LLM Architecture Used by Enterprises

  • RAG vs Fine-Tuning and Prompt Engineering

  • Key Benefits of RAG for Realtime Applications

  • Bonus: Similarity Search for Efficient Information Retrieval

  • Bonus: Use of LSH + kNN and Incremental Indexing

  • Bonus: Forgetting in LLMs and Stream Data Processing (archived live interactions)

-- Release date: 8th April '24 (Revised)

5 – Hands-on Development of Realtime LLM Applications

  • Installing Dependencies and Pre-requisites

  • Building a Dropbox RAG App using open-source

  • Building Realtime Discounted Products Fetcher for Amazon Users

  • Building RAG applications with local models

  • Leveraging Pathway with LlamaIndex/Langchain (Bonus)

  • Problem Statements for Projects

  • Project Submission

-- Release date: 10th April '24 (Revised)

6 – Project Development

  • Problem Statements Release for the Projects

  • Online Office Hours

  • Projects Submission

  • Project Feedback (after the submissions deadline)

--

Release date: 12–21st April '24