Large Language Models are the next advancement in the AI era. With the release of ChatGPT, Generative AI has been the most trending topic in the technology world. Large Language Models (LLMs) are part of Generative AI that imitates human intelligence, mainly language and speech. LLMs are known for their capability to generate text-based content. Some other use cases of Large Language Models are Text Summarization, Question and Answering bot, Text completion, Grammar correction, Code Generation, Language Translation and so on.

In the LLM Bootcamp, we covered 14 different modules, including from Recurrent Neural Network, Transformers, Fine Tuning LLMs and Open Source LLM framework.

Assessment Questions:

Question-1:

Use Transformers model and build a Code Generation application on the given data.
Data: https://huggingface.co/datasets/theblackcat102/evol-codealpaca-v1

Question-2:

Use GenAI Stack and build an ChatBot application like ChatGPT on your own data
You are free to use any default data type(CSV/PDF/WebPage)
Documentation: https://genaistack.aiplanet.com/

Guidelines:

Add both the code in same notebook.
Register to this challenge.
Click on Make Submission.
Enter- <Your-name>_assessment as the title.
Summary you can enter what approach you took.
Tag: deep-learning

Evaluation:

The Notebook will be evaluated based:
- Step 1 : Import required modules
- Step 2 : Model Name - You can use any model or pipeline
- Step 3 : Usage of data [For question 1 given HuggingFace dataset and For question 2- your own data CSV/PDF/Web page]
- Step 4: Evaluation
- Step 5: Use 2-3 prompt and generate results
Refer to Module 6,7, and 8 for Question 1
Refer to module 14 for Question 2
Note: For question 2, please attach the link of the data used
Reminder: Add both Question 1 and Question 2 code in same notebook and Submit

LLM Bootcamp:Final Assessment

Challenge Starts

Registration Ends

Challenge Ends