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This is a Phi Family of SLMs book for getting started with Phi Models. Phi a family of open sourced AI models developed by Microsoft. Phi models are the most capable and cost-effective small language models (SLMs) available, outperforming models of the same size and next size up across a variety of language, reasoning, coding, and math benchmarks
[CCS'24] A dataset consists of 15,140 ChatGPT prompts from Reddit, Discord, websites, and open-source datasets (including 1,405 jailbreak prompts).
A collection of scientific methods, processes, algorithms, and systems to build stories & models.
felixge's notes on the various go profiling methods that are available.
Open Machine Learning course
骆驼(Luotuo): Open Sourced Chinese Language Models. Developed by 陈启源 @ 华中师范大学 & 李鲁鲁 @ 商汤科技 & 冷子昂 @ 商汤科技
This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.
Learn how to design, develop, deploy and iterate on production-grade ML applications.
Automatic Generation of Visualizations and Infographics using Large Language Models
머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)
An Open-Source Python3 tool with SMALL models for recognizing layouts, tables, math formulas (LaTeX), and text in images, converting them into Markdown format. A free alternative to Mathpix, empowering seamless conversion of visual content into text-based representations. 80+ languages are supported.
Official Repository for "Eureka: Human-Level Reward Design via Coding Large Language Models" (ICLR 2024)
中文翻译的 Hands-On-Large-Language-Models (hands-on-llms)，动手学习大模型
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The Python Code Tutorials
📚 《Deep Agents 实战》—— LangChain 官方大使出品，基于 LangChain / LangGraph 生态，从零构建生产级 AI Agent 的完整指南
Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)
[ACL 2024] An Easy-to-use Knowledge Editing Framework for LLMs.
Repo for AI Agents The Definitive Guide
Examples, end-2-end tutorials and apps built using Liquid AI Foundational Models (LFM) and the LEAP SDK
Benchmarking large language models' complex reasoning ability with chain-of-thought prompting
The /llms.txt file, helping language models use your website
Comprehensive resources on Generative AI, including a detailed roadmap, projects, use cases, interview preparation, and coding preparation.
This repository contains various advanced techniques for Retrieval-Augmented Generation (RAG) systems.