A high-level Python library for Quantum Natural Language Processing
Quantization from the ground up | ngrok blog
A complete guide to what quantization is, how it works, and how it's used to compress large language models
Natural Language Processing With Python's NLTK Package – Real Python
In this beginner-friendly tutorial, you'll take your first steps with Natural Language Processing (NLP) and Python's Natural Language Toolkit (NLTK). You'll learn how to process unstructured data in order to be able to analyze it and draw conclusions from it.
Build A Large Language Model (From Scratch), Published by Manning, ISBN 978-1633437166
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
NLTK Book
This version of the NLTK book is updated for Python 3 and NLTK 3. The first edition of the book, published by O'Reilly, is available at http://nltk.org/book_1ed/. (There are currently no plans for a second edition of the book.)
Information: the Measure of All Things? Part I: Communication, Code and Computation - 3 Quarks Daily
by Yohan J. John
Reverse-engineering GGUF | Post-Training Quantization
AI-Efficiency/Awesome-Model-Quantization
A curated collection of papers, benchmarks, surveys, and tools for model quantization, covering low-bit networks, LLMs, multimodal and generative models, vector and lattice quantization, and efficient deployment.
SciPy 1.0: fundamental algorithms for scientific computing in Python
SciPy is an open-source scientific computing library for the Python programming language. Since its initial release in 2001, SciPy has become a de facto standard for leveraging scientific algorithms in Python, with over 600 unique code contributors, thousands of dependent packages, over 100,000 dependent repositories and millions of downloads per year. In this work, we provide an overview of the capabilities and development practices of SciPy 1.0 and highlight some recent technical developments.
atomic.chat on Twitter / X
Google Turbo Quant running Locally in Atomic ChatMacBook Air M4 16 GBModel: QWEN3.5-9BContext window: 50000Summarising 20000 words in just seconds..You can do 3x larger context window, processing 3x faster than before! pic.twitter.com/FRYkXCGjQb— atomic.chat (@atomic_chat_hq) March 27, 2026
Meet Willow, our state-of-the-art quantum chip
Our new quantum chip demonstrates error correction and performance that paves the way to a useful, large-scale quantum computer.
