Showing 501-520 of 2,862 projects
A powerful expression language and evaluator for Go, enabling developers to build rule-based systems and configuration languages.
An open-source bilingual pre-trained language model that can be used for a variety of NLP tasks.
LMDeploy is a toolkit for compressing, deploying, and serving large language models (LLMs).
A comprehensive collection of resources for large language models, including AI coding tools, MCP frameworks, and more.
Sui is a next-generation smart contract platform built with the Move programming language, focused on high throughput and low latency.
This is a repository for the GopherChina conference, a major Go programming language event in China.
A Chinese version of the GPT-2 language model training code, using the BERT tokenizer.
A sample app for the Retrieval-Augmented Generation pattern using Azure AI Search and Azure OpenAI large language models.
A Rust library for making GPU shaders a first-class part of the Rust ecosystem.
Supercharge your large language models (LLMs) with the fastest key-value cache layer for lightning-fast inference.
Open-source reproduction of Meta's LLaMA 7B language model for AI and machine learning research.
StarCoder is a Python library for fine-tuning and inference of large language models.
Utilities for working with Llama language models, a type of large language model.
Jsonnet is a data templating language that provides a concise and powerful way to generate JSON configurations.
Lean 4 is a programming language and theorem prover for building verified software.
ChatLaw is a powerful large language model (LLM) tailored for Chinese legal applications.
Enso is a polyglot functional programming language and data analysis platform built for data teams.
An open-source implementation of large language models with a focus on model parallelism and efficiency.
A comprehensive tutorial for the LangChain library, a framework for building applications with large language models.
ReScript is a robust, statically typed language that compiles to efficient and readable JavaScript.
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