Final Project + Giveaways

Welcome to the Final Stretch of Your Bootcamp Journey! 🎉

As we approach the conclusion of this bootcamp, it's time to transform your acquired knowledge into practical applications. The current deadline for submitting the project is 10th March. With two weekends ahead in this schedule, you have a valuable yet concise time frame to create and showcase a meaningful project. Make the most of it! ✌️

To guide you, we have selected a range of ideas/tracks (which are optional) but you can use them for ideation if needed. However, we encourage you to go beyond and think of a few ideas by looking at the problems around you, as that's one of the better approaches to problem solving. 🌟

Along with that, let's quickly revisit the mandatory requirements for completing the bootcamp.

How to Successfully Complete the Bootcamp

1 - Complete the Quizzes

• Ensure you complete the required quizzes: one in the Vector Embeddings module and another in the RAG module.

2 - Project Development

• Task: Develop a real-time or static RAG-based LLM application using LLM App or streaming data via Pathway with Llamaindex or any other tool that you're comfortable with.

• Publish: Publish your open-source project on your GitHub with a clear README that includes a video demo. We emphasize this as it makes it easy for course instructors, developers in the community, or your potential employers to evaluate what you've built

• Submission: Submit the project link through the form provided.

Project Guidelines

• Option to Modify an Existing Project: If building an LLM application from scratch seems daunting, consider modifying the "Dropbox Retrieval App" example we discussed. Adapt it to create an application with significant business or social value. For inspiration, look at how Avril adopted the Dropbox AI project for a better comprehension of the EU AI Act. This being said a replica of any published project will not be accepted.

• Project Requirements:

  • Data Source: Your project should use real-time (preferred) or static data sources.

  • Open Source: Ensure your project is open source, hosted on GitHub with a clear README.md file and a License file as a best practice. Ref: Adding a License to a Repository / Tutorial for adding MIT License.

  • Documentation: The README.md must include:

    • A demo video link or GIF for a quick overview of your application.

    • A clear description explaining the purpose of your project and how it utilizes the LLM App.

    • Instructions for setting up and running the tool.

• Originality: Your project must be original, not plagiarized, and not a direct replica of any course materials, publicly available projects, or those submitted by peers.

Encouragement for Innovation

• While using the Dropbox App as a foundation is acceptable, we encourage you to innovate and create something unique. Challenge yourself to develop a project that tests your cognitive abilities and engineering skills.

• To qualify for your bootcamp certificate, complete the required quizzes.

• Concurrently, you're expected to build a real-time or static, RAG-based LLM application using the LLM App. While doing so, you have to make sure to publish your open-source project on GitHub and submit its link through the form ahead.

• If the idea of creating an LLM application from the ground up (like the one we saw in the Amazon Discounts case) feels overwhelming, you have the option to build upon the "Dropbox Retrieval App" example discussed earlier. By tailoring it to meet specific needs, you can construct an application that holds substantial business or social value.

What are additional incentives beyond learning for building a novel application? Let's check out. 🤩

Before you proceed, ensure you have registered.

• If you haven't registered yet, now is a good time to do so. Otherwise there won't be any way for us to issue certificates for you or contact you for sending the prizes.

• Registration link: https://bit.ly/iit-kanpur-bhu-llm.