1Just read the latest blog on Advanced RAG by Elastic Labs, loved the approach of enhancing retrieval accuracy using metadata.
They used NLP libraries to extract keywords, keyphrases, and entities, and GPT-4o to generate relevant questions from each chunk.

Used GPT-4o to generate interpretations for each verse. Each entry looks pretty solid so far. Could’ve experimented with models like Claude or LLaMA, but I’ll save that rabbit hole for after the basic version is done.

Next, I plan to write an interpretation for each verse and relate it to modern-day challenges people face. This would make it easier for the RAG system to retrieve and rank verses. This is the prompt I am planning to go with.

Got caught up with my viva last week, resuming work on GitaGPT now. Will try to get it done by the weekend.

Will keep ya'll updated.

Update on GitaGPT!

Just scraped all the Bhagavad Gita verses, translations, and explanations from the website. The next challenge? Keyword search. The English is quite formal and traditional, which might make it harder for the search algorithm to discover relevant chunks.

holy-bhagavad-gita.org

I'm building a RAG-based system using verses from the Bhagavad Gita to help people easily seek timeless advice. Planning to use LLMs to simplify explanations so today’s youth can relate to modern-day challenges. Excited to see where this project leads!

Polishing my mathematics fundamentals to dive deeper into more complex generative and GAN-based models. It's a bit overwhelming to work on, but I'm sure I'll get the hang of it with practice. Here's a basic overview of Transforming Probability Densities:
- A Thread 🧵

Recently got a chance to read this paper by some amazing folks at KAIST. It introduces a framework for building and evaluating personalized Pedagogical Conversational Agents (PCAs) to align with students' personality traits to enhance learning.
-🧵

Did some EDA on my Deep Learning Audio Classification Project, here's my progress:

- A Thread 🧵

Training a LSTM model for my Melody Generator Deep Learning Project!
- A Thread 🧵

Did some more pre-processing!

Here's what I implemented:

🎼Encoded the song in time series representation.

🗄️Collected all the encoded files, and put them in a single file.

🗺️Created mappings to map each symbol to an integer

Progress on my melody generator DL project:
- A Thread 🧵

📂Loaded the dataset and converted songs into Music21 objects.

✅Selected only songs with acceptable durations.

💱Transposed songs in major keys to C Major and those in minor keys to A Minor.

How many comments are too many comments? 👀

Hey everyone! 👋
I'm excited to share that I'm starting to work on my new project, HarmonAI - an AI-powered melody generator application built using:
🧠Recurrent Neural Networks (RNN)
🌊Long Short-Term Memory Networks (LSTM).

Feel free to contribute to this project here:
github.com/AtharvaMaska...