📘
Winter LLM Bootcamp
  • Welcome to the course. Bienvenue!
    • Course Structure
    • Course Syllabus and Timelines
    • Know your Educators
    • Action Items and Prerequisites
    • Bootcamp Kick-Off Session
  • 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
  • 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
  • Prompt Engineering and Token Limits
    • What is Prompt Engineering
    • Prompt Engineering and In-context Learning
    • Best Practices to Follow
    • Token Limits and Hallucinations
    • Prompt Engineering Excercise (Ungraded)
      • Story for the Excercise: The eSports Enigma
      • Your Task for the Module
  • Retrieval Augmented Generation (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/LLM Architecture Diagram with Key Steps
    • RAG versus Fine-Tuning and Prompt Engineering
    • Versatility and Efficiency in RAG
    • Understanding Key Benefits of Using RAG in Enterprises
    • Hands-on Demo: Performing Similarity Search in Vectors (Bonus Module)
    • Using kNN and LSH to Enhance Similarity Search (Bonus Module)
    • Graded Quiz 2
  • Hands-on Development
    • Prerequisites
    • Dropbox Retrieval App
      • Understanding Docker
      • Building the Dockerized App
      • Retrofitting our Dropbox app
    • Amazon Discounts App
      • How the project works
      • Repository Walkthrough
    • How to Run 'Examples'
    • Bonus Section: Real-time RAG with LlamaIndex and Pathway
  • Bonus Resource: Recorded Interactions from the Archives
  • Final Project + Giveaways
    • Prizes and Giveaways
    • Suggested Tracks for Ideation
    • Form for Submission
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  1. Welcome to the course. Bienvenue!

Bootcamp Kick-Off Session

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Last updated 1 year ago

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If you could not join us live for the kick-off session, this sub-module ensures you're caught up and ready to embark on this learning journey. We've prepared a 30-minute recording featuring a dialogue with Mudit Srivastava from Pathway, Rahul Jha from IIT Kanpur, and Aakash from IIT (BHU) Varanasi. This conversation lays the foundation for your expectations throughout the course, highlighting key areas and insights.

In this session, you will gain:

  • Basic Knowledge of LLMs and RAG: An introduction to Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG), discussing their significance and impact on the industry.

  • Course Structure and Cohort Insights: An overview of the course structure and a glimpse into our diverse and vibrant cohort.

  • Bootcamp Rewards: Information on the rewards for completing the Bootcamp, acknowledging your dedication and achievements.

  • Questioning Process and Expectations: Guidelines on how to raise questions, engage with the course material, and what we expect from participants regarding engagement and learning.

Quick Introduction to the Bootcamp Enablers

This Bootcamp is supported by a collaboration between several organizations:

As you navigate through this module and the course, we aim to provide a learning experience that is both informative and inspiring!

Pathway (): Pioneering in data processing technology, Pathway presents the world's most efficient engine for managing batch, streaming, and LLM applications. Its development in Rust and accessibility through Python make it a crucial tool for those interested in data processing and analysis.

CoPS IIT (BHU) Varanasi (): As a part of the Science and Technology Council at IIT (BHU) Varanasi, CoPS focuses on developing impactful projects and promoting advanced technology understanding among students. IIT (BHU) Varanasi, a premier public research institute, boasts a rich history dating back to the early 1900s. It is located in the historic city of Varanasi, India, known for its cultural significance.

Programming Club at IIT Kanpur (): Aiming to cultivate a strong programming culture on campus, the Programming Club at IIT Kanpur engages in developing impactful projects and spreading knowledge on the latest technologies under the aegis of the Science and Technology Council. IIT Kanpur stands as one of the top academic institutions in India, celebrated for its excellence in education and research.

https://pathway.com
https://www.copsiitbhu.co.in/
https://pclub.in/
Credits: Club of Programmers at IIT (BHU), Varanasi. This recording is also available on the Programming Club IIT Kanpur's YouTube channel for added convenience. Link:
https://youtu.be/0hshRJVXO9Y