Introduction

Welcome to this exciting journey into the world of Large Language Models (LLMs)!

Please Note:

  • The same coursework is also available at the Institute Technical Council (ITC) IIT Bombay Website: https://itc.gymkhana.iitb.ac.in/AIC/realtime-llm-bootcamp/. The link is open to everyone.

  • However, if you are not on the IIT Bombay campus and encounter any difficulties accessing the provided link, you can alternatively continue your learning here, on this link itself.

About the bootcamp

In November 2023, the Web & Coding Club at IIT Bombay and the AI Community at IIT Bombay, supported by the Institute Technical Council, joined hands with Pathway to launch this free, cohort-based course. This initiative, focusing on Generative AI, LLMs, and Real-time Data Processing, addressed the growing need to understand, leverage, and build Generative AI solutions.

Key highlights:

  • The course was shaped by contributions from global leaders in academia and deep learning, boasting past affiliations with prominent organizations like Google Brain, Mila-Quebec AI Institute, and Microsoft Research.

  • The bootcamp attracted over 1400 learners, including over 1000 students from IIT Bombay. Participants included students and professionals from HEC Paris, IIT Delhi, Indiana University, Qualcomm, and Novartis.

  • Despite the tight 10-day schedule, the bootcamp inspired active involvement. Various student developers went ahead to create interesting enterprise-centric apps. For example:

    • A project management assistant integrated with Slack, capable of delivering real-time insights from Trello Dashboards.

    • An LLM-powered application providing current insights into digital marketing trends influenced by ad spending data.

Making the coursework available

We're opening up our archived coursework for free, driven by our belief in the power of open education and Generative AI. This is an invitation for students and professionals to use these resources as a springboard for creating solutions that make a real difference.

This resource is particularly beneficial for those starting or looking to deeper into the world of Large Language Models (LLMs), Generative AI, Retrieval Augmented Generation (RAG), and related areas, providing a thorough educational guide.

Happy learning! 😄

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