Your agent in your terminal, equipped with local tools: writes code, uses the terminal, browses the web, vision.
[GenAI Application Development Framework] 🚀 Build GenAI application quick and easy 💬 Easy to interact with GenAI agent in code using structure data and chained-calls syntax 🧩 Use Agently Workflow to manage complex GenAI working logic 🔀 Switch to any model without rewrite application code
An open-source LLM based automatically daily news collecting workflow showcase powered by Agently AI application development framework.
ALwrity - All-in-One AI Content Generation Platform. Content generation for Website, Social media & Ad copywriting. Web Researched, SEO optimized content. Generate Text, Image, Audio. Content Brainstorming with Agents team. Generate content with RAG, Local documents, web urls, PDFs. Open Source AI writer. (WIP)
The creative suite for character-driven AI experiences.
A mixture of Gen AI cookbook recipes for Gen AI applications.
AI-powered Dropbox search tool for private documents
🎙️ Speak with AI - Run locally using Ollama, OpenAI or xAI - Speech uses XTTS, OpenAI or ElevenLabs
Turn a stream of token into a parsable JSON object as soon as possible. Enable Streaming UI for AI app based on LLM.
The library for character-driven AI experiences.
Promptdesk is a tool designed for effectively creating, organizing, and evaluating prompts and large language models (LLMs).
PATIENT-Ψ: Using Large Language Models to Simulate Patients for Training Mental Health Professionals (EMNLP 2024)
(NeurIPS‘24) LLM4EA: <Entity Alignment with Noisy Annotations from Large Language Models>
Ollama alternative for Rockchip NPU: An efficient solution for running AI and Deep learning models on Rockchip devices with optimized NPU support ( rkllm )
一个使用Flutter开发，支持诸多AI大模型API调用的智能工作生活助手应用。除了常规大模型应用，还有极简记账、随机菜品、猫狗之家、waifu图片、MAL动漫排行、BGM动漫资讯、饮食健康等。
A minimal Chatbot GUI for Ollama models - Streamlit App
AI powered twitter Bio Generator built Using Next.js and Groq | Shadcn | Llama 3
🎩 AI-powered cover letter generator
LLMs prompt augmentation with RAG by integrating external custom data from a variety of sources, allowing chat with such documents
The official implementation of "RouteExplainer: An Explanation Framework for Vehicle Routing Problem" (PAKDD 2024, oral)
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