Blogs
Welcome to my Blogs section!
Here, I’ll be sharing my blogs-cum-notes - a blend of insights, learnings, and reflections as I explore the world of AI, data science, and beyond.
I believe that taking notes not only helps reinforce learning but also makes it easier to revisit and reflect on concepts over time. Whether it’s a new paper, a cool experiment, or something I just figured out - this is where I’ll document and share it.
🐾 PawGPT: My First RAG Architecture
*A report-cum-blog of my challenges and learnings I faced while completing this project. Overall, this project was very valuable and it introduced me to deploying my own apps.
📚 Fine Tuning: A Basic Introduction
A quick guide I compiled while learning and experimenting with fine-tuning language models. Covers basic concepts, parameters and what they mean, key learnings from hands-on work.
🧠 Prompt Engineering and In-Context Learning Notes
A collection of structured notes covering the Generative AI with LLMs course by DeepLearning.ai. This course included topics like LLM Mechanics, Transformers, Prompt Engineering, Fine-Tuning and Evaluation (ROUGE, BLEU), and Reinforcement Learning from Human Feedback
📌 More Notes Coming Soon
Stay tuned as I continue to share my learning journey!