Ee Sala Nu Cup Namdu! ❤️🔥🏆
Welcome to the RCB Era, ladies and gentlemen! 😎
You waited, you believed and you stayed… this one’s for you again, 12th Man Army! 🥹❤️
#PlayBold#ನಮ್ಮRCB#IPL2026
Part 2 of my Llama-3 fine-tuning experiment.
Initial run: 5 samples (pipeline validation).
Now:
• Expanded dataset to 100 finance instructions
• Retrained using LoRA (~6.8M params, 8-bit)
• Evaluated base vs fine-tuned model
Built a mini FinanceGPT by fine-tuning Llama-3 8B using LoRA
– Parameter-efficient fine-tuning (~6.8M params)
– 8-bit quantization with BitsAndBytes
– PEFT + Transformers debugging in practice
GitHub: https://t.co/y4shMD4LAg
Built a mini FinanceGPT by fine-tuning Llama-3 8B using LoRA
– Parameter-efficient fine-tuning (~6.8M params)
– 8-bit quantization with BitsAndBytes
– PEFT + Transformers debugging in practice
GitHub: https://t.co/y4shMD4LAg
I implemented my first research paper from scratch, the OG "Attention Is All You Need."
Built every block (Self-Attention, Encoder, Decoder) in PyTorch.
https://t.co/GDWsJQKGDC