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🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
[2024] Phi-2 model for answering telecom networks questions in Zindi competition with prompt engineering, simple RAG and LoRA fine-tuning.
Code from various chapters in OSTEP (http:https://www.ostep.org)
LlamaIndex is a data framework for your LLM applications
Telco-RAG is a specialized Retrieval-Augmented Generation (RAG) framework for 3GPP documents
Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step
Scalable and user friendly neural 🧠 forecasting algorithms.
Python-centered read-along of Forecasting: Principles and Practice
VIP cheatsheets for Stanford's CS 221 Artificial Intelligence
VIP cheatsheets for Stanford's CS 230 Deep Learning
VIP cheatsheets for Stanford's CS 229 Machine Learning
18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
This is a repo with links to everything you'd ever want to learn about data engineering
An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)
You like pytorch? You like micrograd? You love tinygrad! ❤️
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Examples and guides for using the OpenAI API
System design interview for IT companies
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
💯 Curated coding interview preparation materials for busy software engineers
What happens behind the scenes when we type www.google.com in a browser?
A guideline for building practical production-level deep learning systems to be deployed in real world applications.
A latent text-to-image diffusion model
min(DALL·E) is a fast, minimal port of DALL·E Mini to PyTorch