Google Research

A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

📡 Simple and ready-to-use tutorials for TensorFlow

StableLM: Stability AI Language Models

This repository contains implementations and illustrative code to accompany DeepMind publications

We unified the interfaces of instruction-tuning data (e.g., CoT data), multiple LLMs and parameter-efficient methods (e.g., lora, p-tuning) together for easy use. We welcome open-source enthusiasts…

Doing simple retrieval from LLM models at various context lengths to measure accuracy

An automatic evaluator for instruction-following language models. Human-validated, high-quality, cheap, and fast.

BERT score for text generation

EvolKit is an innovative framework designed to automatically enhance the complexity of instructions used for fine-tuning Large Language Models (LLMs).

This something about deep learning on Coursera by Andrew Ng

a detail tutorials of allennlp , which is based on my own view.

Train transformer language models with reinforcement learning.