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.
π All Days Consolidated Sheet [Day 1 to Day 75] - https://bit.ly/3wpO044 π
π» Here are 5 key takeaways from the challenge:
- Generative AI is just combination of creative thinking and making system generalize on them.
- LLMs are transformer based models, so if your fundamentals of transformers are done! LLMs are piece of cake for you.
- 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).
- Building or Maintaining High Precision LLM at your local system is quite expensive so Quantization is best here to reduce the Size of LLM.
- 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.
- π¨βπ» Complete Source Code of all 75 Day Hard
- π GitHub - https://lnkd.in/diehTu44
- π Kaggle Notebook - https://lnkd.in/daSegm7N
π Learn GenAI for Free [Free Courses and Study Material with Daily Updates and Learningβs Uploaded] Join Telegram π - https://t.me/freebirdscrew
β° Get Started with GenAI for Free [ Day 1 to Day75] - https://lnkd.in/dpCpTXUz
βοΈ Get 1:1 Mentorship or Career Guidance in GenAI, LangChain or Data Science and Machine Learning - https://lnkd.in/d3r6wAMz