This repository contains LLM (Large language model) interview question asked in top companies like Google, Nvidia , Meta , Microsoft & fortune 500 companies.

A course on aligning smol models.

Jupyter Notebooks to help you get hands-on with Pinecone vector databases

Completely local RAG. Chat with your PDF documents (with open LLM) and UI to that uses LangChain, Streamlit, Ollama (Llama 3.1), Qdrant and advanced methods like reranking and semantic chunking.

A set of LangChain Tutorials from my youtube channel

A repo for open resources & information for people to succeed in PhD in CS & career in AI / NLP

🔥Highlighting the top ML papers every week.

Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

Jobs_Applier_AI_Agent_AIHawk aims to easy job hunt process by automating the job application process. Utilizing artificial intelligence, it enables users to apply for multiple jobs in a tailored way.

A 4-hour coding workshop to understand how LLMs are implemented and used

A one stop repository for generative AI research updates, interview resources, notebooks and much more!

This repository contains resources for technical coding interviews.

YSDA course in Natural Language Processing

Could a neural network understand a microprocessor?

This repository contains code for parallelized prediction of spatiotemporal chaotic data using reservoir computing as described in the paper: Model-Free Prediction of Large Spatiotemporally Chaotic…

Initial public release of code, data, and model weights for FourCastNet

Official implementation of "Implicit Neural Representations with Periodic Activation Functions"

Learning in infinite dimension with neural operators.

Code for the paper "Predictive Coding Approximates Backprop along Arbitrary Computation Graphs"

Code for "Discovering Symbolic Models from Deep Learning with Inductive Biases"

Code for the paper "Next Generation Reservoir Computing"

This repository contains implementations and illustrative code to accompany DeepMind publications