💪
3 Week Bootcamp: Building Realtime LLM Application
  • Introduction
    • Timelines and Structure
    • Course Syllabus
    • Meet your Instructors
    • Action Items
  • Basics of LLM
    • What is Generative AI?
    • What is a Large Language Model?
    • Advantages and Applications of Large Language Models
    • 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
      • Neural Networks and Transformers (Bonus Module)
      • Attention and Transformers (Bonus Module)
      • Multi-Head Attention, Transformers Architecture, and Further Reads (Bonus Module)
    • Graded Quiz 1
  • Prompt Engineering
    • What is Prompt Engineering
    • Prompt Engineering and In-context Learning
    • Best Practices to Follow in Prompt Engineering
    • Token Limits in Prompts
    • Ungraded Prompt Engineering Excercise
      • Story for the Excercise: The eSports Enigma
      • Your Task
  • Retrieval Augmented Generation 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
    • LLM Architecture Diagram and Various Steps
    • RAG versus Fine-Tuning and Prompt Engineering
    • Versatility and Efficiency in Retrieval-Augmented Generation (RAG)
    • Key Benefits of RAG for Enterprise-Grade LLM Applications
    • Similarity Search in Vectors (Bonus Module)
    • Using kNN and LSH to Enhance Similarity Search in Vector Embeddings (Bonus Module)
    • Graded Quiz 2
  • Hands-on Development
    • Prerequisites
    • Dropbox Retrieval App in 15 Minutes
      • Building the app without Dockerization
      • Understanding Docker
      • Building the Dockerized App
    • Amazon Discounts App
      • How the Project Works
      • Repository Walkthrough
    • How to Run 'Examples'
  • Bonus Resource: Recorded Interactions from the Archives
  • Bootcamp Keynote Session on Vision Transformers
  • Final Project + Giveaways
    • Prizes and Giveaways
    • Tracks for Submission
    • Final Submission
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  • Incentives for Bootcamp Graduates
  • Additional Prizes for the Top 10 Projects
  • Judging Criteria
  • Terms and Conditions for all the Learners
  1. Final Project + Giveaways

Prizes and Giveaways

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Last updated 1 year ago

Our aim with these awards is not just to celebrate your accomplishments, but also to inspire you to contribute to the open-source community, complete the bootcamp, and unlock the full potential of Real-Time Large Language Model Applications using the LLM App.

To that end, we're thrilled to announce a diverse array of prizes and incentives. We hope these serve as a valuable addition to your professional profile—like having your standout project featured on Pathway's official blog—or offer personal enrichment through coveted gadgets, ranging from gaming controllers to specialized camera lenses for photography aficionados. 🏆🎮📸

Incentives for Bootcamp Graduates

  • Completion Reward: Every graduate with a valid submission will receive a cool Pathway T-shirt and a certificate.

  • Featured Projects: The most impactful projects will be showcased on Pathway's official blog which is read by some of the finest researchers and data professionals. We hope this will be a valuable addition to participants' professional profiles. There's no minimum or maximum number for this and it depends on the quality of submissions we receive.

Criteria for Bootcamp Graduation Certificate

  • Fill out the for the final submission.

  • Projects must adhere to the guidelines mentioned in the .

Additional Prizes for the Top 10 Projects

  • Top 3 Projects/Individuals: Wireless Microsoft XBOX controller

  • Next 3: JBL waterproof portable speaker

  • Next 3: Amazon Basics Phone Camera Lens

Additional Criteria for Blog Feature & Top 10 Prizes

These criteria are only for the blog feature and the top 10 prizes and not for bootcamp graduation:

  • The project must be novel and not an inspired/cloned version of the Dropbox Retrieval App.

  • Utilize the and its real-time data features for eligibility in top rankings.

  • Ensure the project is open-source with a GitHub repository that includes a project description, a video demo, a clear methodology, and a functional prototype.

  • Utilize the LLM App to create impactful solutions in areas like customer support automation, data insights, real-time monitoring, and healthcare, or to enable cross-functional collaboration using real-time data; their project can also serve open-ended consumer, developer, or B2B needs across various domains. We're sharing a few tracks in the next section that can be a good starting point for you.

  • Share the project demo on LinkedIn or Twitter, explaining its key purpose and how you're using the LLM App to build a solution that solves business or social challenges. While sharing the project, the participant tracks or .

Judging Criteria

  • Code Quality - Code and GitHub Repository is easy to understand and reproducible

  • Technical Implementation - LLM App and its key benefits are leveraged and used appropriately by the engineer.

  • Creativity & originality - The solution is original and differentiates itself from existing solutions and the other submissions.

  • Social or Business Value - The solution creates clear additional value beyond competition for businesses, society, developers, or end consumers.

Terms and Conditions for all the Learners

  • Ownership & Rights: While participants maintain ownership of their projects, they grant Pathway, IIT Guwahati, and CAC IIT Guwahati permission to feature their work on respective blogs if selected for an official blog feature.

  • Organizer's Discretion: The organizers hold the authority to determine winners and reserve the right to disqualify any participant who violates the Terms and Conditions or engages in misconduct.

  • Plagiarism: Plagiarism will result in immediate disqualification, with or without prior notice. Participants must ensure that they submit an original work.

  • Attribution: If participants utilize open-source resources or someone else's work as a component of their project, proper credit must be given.

  • Technical Responsibility: Participants bear the responsibility for their own hardware, software, and internet connectivity.

  • T-shirt & Prize Logistics:

    • Certificates will be sent to the qualified graduates via email.

    • T-shirts and prizes will be shipped to the submitted address (unless located in areas restricted by Indian or French law) or can be picked up at the IIT Guwahati campus after a timeframe that will be communicated soon.

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