Resources
This section of my portfolio contains a curated list of insightful blogs,
tutorials, youtube videos, github repos and research papers that I have
found helpful. These resources cover a range of topics including machine
learning, natural language processing, product development, and much more.
Browse through these resources to stay up-to-date with the latest
developments and insights in the field of AI.
- Constraining the Decoder of language models using custom Beam Search.
- GECToR - Grammatical Error Correction: Tag, Not Rewrite
- GECToR - Grammatical Error Correction: Tag, Not Rewrite
- Spell Checker Implementation by Vipul Raheja
- Under the Hood at Grammarly: Leveraging Transformer Language Models for Grammatical Error Correction
- Grammarly Engineering Blog
- Recommendation Alogrithm: YouTube
- Recommendation Alogrithm: Twitter
- Recommendation Alogrithm: TikTok (ByteDance)
- A survey on Large Language Models
- Better Call BLOOM - Finetuning BLOOM on Pile of Law!
- Parameter-Efficient LLM Finetuning With Low-Rank Adaptation (LoRA)
- In-Context Learning, In Context
- Connecting Images and natural Language - Andrej Karpathy's PhD Thesis
- Box Icons - High Quality, Open Source Web Icons carefully crafted for designers & developers.
- DaisyUI Components - Readymade Tailwind CSS components but write fewer class names.
- Airbnb Design System
- The Trillion Dollar UX Problem: A Comprehensive Guide to the ROI of UX
- Behance and Dribble design inspirations for Food Delivery App: Design1, Design2
- Behance and Dribble design inspirations for Learning App: Design1, Design2
- Behance and Dribble design inspirations for Travel App: Design1
