llama3-1

#大语言模型#Run any open-source LLMs, such as DeepSeek and Llama, as OpenAI compatible API endpoint in the cloud.

#大语言模型#The collaborative spreadsheet for AI. Chain cells into powerful pipelines, experiment with prompts and models, and evaluate LLM responses in real-time. Work together seamlessly to build and iterate on...

#计算机科学#A holistic way of understanding how Llama and its components run in practice, with code and detailed documentation.

Drop in replacement for the OpenAI Assistants API

#大语言模型#An Automated AI-Powered Prompt Optimization Framework

[ICCVW 25] LLaVA-MORE: A Comparative Study of LLMs and Visual Backbones for Enhanced Visual Instruction Tuning

#大语言模型#AI agent with RAG+ReAct on Indian Constitution & BNS

A lightweight Python API wrapper and CLI for Perplexity’s Sonar language models.

#大语言模型#Make SGLang go brrr

Multimodal RAG based on Llama 3.2

The GroqCloud API wrapper for Delphi provides access to models from Meta, OpenAI, MistralAI and Google on Groq’s LPUs, offering chat, text generation, image analysis, audio transcription, JSON output,...

#大语言模型#Simple RAG system powered by Milvus.

AI Screen Analyzer allows users to capture screenshots, analyze them using various AI providers and models, and engage in conversations about the images.

This repository contains projects developed to showcase how to apply Generative AI and open-source LLMs in the construction industry

Generate an optimal path on a map a la Traveling Salesman Problem to hit different landmarks in an input city using Cloudflare Workers AI (using LlaMA-3.1), LangChain (for prompt templates and comma s...

#计算机科学#ResurrectAI is an AI-driven chat application designed to bring the wisdom and knowledge of great historical personalities to life. Leveraging advanced language models and fine-tuning techniques, Resur...

Cloud platform for building AI agents

A Python base cli tool for tagging images with joy-caption-pre-alpha models.

Import Clickup Docs and chat with a local llama

AI Engineering: Annotated NBs to dive into Self-Attention, In-Context Learning, RAG, Knowledge-Graphs, Fine-Tuning, Model Optimization, and many more.