https://github.com/simranjeet97/75dayhard_genai_llm_challenge

This repository contain my 75Day Hard Generative AI and LLM Learning Challenge.
https://github.com/simranjeet97/75dayhard_genai_llm_challenge

75hardchallenge data-science deep-learning genai-course generative-ai google-bert huggingface large-language-models llm-course machine-learning neural-networks openai python transformers-models

Last synced: about 2 months ago
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This repository contain my 75Day Hard Generative AI and LLM Learning Challenge.

• Host: GitHub
• URL: https://github.com/simranjeet97/75dayhard_genai_llm_challenge
• Owner: simranjeet97
• License: mit
• Created: 2024-01-26T13:44:14.000Z (11 months ago)
• Default Branch: main
• Last Pushed: 2024-05-18T13:35:51.000Z (8 months ago)
• Last Synced: 2024-05-18T14:36:52.221Z (8 months ago)
• Topics: 75hardchallenge, data-science, deep-learning, genai-course, generative-ai, google-bert, huggingface, large-language-models, llm-course, machine-learning, neural-networks, openai, python, transformers-models
• Language: Jupyter Notebook
• Homepage:
• Size: 1.03 MB
• Stars: 20
• Watchers: 3
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# 75 Days Done 🏆 Completed the Generative AI & LLM Learning Challenge!

I'm thrilled to announce that I've officially completed the 75-day Generative AI & LLM learning challenge! It's been an incredible journey of exploration, experimentation, and pushing my understanding of these fascinating technologies.

In addition to the learning, I documented my progress by creating videos and sharing them on various platforms. I also actively discussed my learnings through LinkedIn posts.

📚 All Days Consolidated Sheet [Day 1 to Day 75] - https://bit.ly/3wpO044 🚀

💻 Here are 5 key takeaways from the challenge:

1. Generative AI is just combination of creative thinking and making system generalize on them.

2. LLMs are transformer based models, so if your fundamentals of transformers are done! LLMs are piece of cake for you.

3. Fine Tuning or LLM Traning is as simple as ML Model Traning, just need proper framework for each type of data (Text, Audio, Video or Images).

4. Building or Maintaining High Precision LLM at your local system is quite expensive so Quantization is best here to reduce the Size of LLM.

5. LLM Evaluation is crucial thing, if your LLM does not get validated for all the metrics of langauge model evaluation, it might create chaos among users.

- 👨‍💻 Complete Source Code of all 75 Day Hard 

- 🌀 GitHub - https://lnkd.in/diehTu44

- 🔀 Kaggle Notebook - https://lnkd.in/daSegm7N

🆓 Learn GenAI for Free [Free Courses and Study Material with Daily Updates and Learning’s Uploaded] Join Telegram 🚀 - https://t.me/freebirdscrew

⏰ Get Started with GenAI for Free [ Day 1 to Day75] - https://lnkd.in/dpCpTXUz

☎️ Get 1:1 Mentorship or Career Guidance in GenAI, LangChain or Data Science and Machine Learning - https://lnkd.in/d3r6wAMz