Desktop AI Assistant powered by o1, o3, GPT-4, GPT-4 Vision, Gemini, Claude, Llama 3, DeepSeek, Bielik, DALL-E, chat, vision, voice control, image generation and analysis, agents, command execution, file upload/download, speech synthesis and recognition, access to Web, memory, presets, assistants, plugins, and more. Linux, Windows, Mac

Personal AI search copilot, open-source Perplexity

The AI toolkit for the AI developer

Unofficial API Wrapper for Perplexity.ai + Account Generator with Web Interface

multi1: create o1-like reasoning chains with multiple AI providers (and locally). Supports LiteLLM as backend too for 100+ providers at once.

A simple Python program to implement the search-extract-summarize flow.

AI Chat in Terminal + Package + REST-API

评估自然语言的流畅度

Python implementation of an N-gram language model with Laplace smoothing and sentence generation.

A versatile CLI and Python wrapper for Perplexity's suite of large language models including their flagship 'Sonar' models (built on top of Meta's latest and most advanced open-source model 'Llama-3.1'). Streamline the creation of chatbots, and search the web with AI (in real-time) with ease.

Your intelligent ally for effortless information retrieval and seamless browsing across documents and the web.

Project automates AI news gathering and Blog post Writing. Our AI agent collects insights and news about any topic From Internet and Writes an Amazing Blog post or Article on that topic. Integrating Crew AI frameworks for robust Agents

Running Microsoft's BitNet inference framework via FastAPI, Uvicorn and Docker.

Advanced MCP tool for Perplexity and OpenRouter API integration.

Using PyTorch autograd to compute Hessian of Perplexity for Large Language Models

Open Source framework for anyone to work with Perplexity Sonar

🧠 A simple command-line client for the Perplexity API. Ask questions and receive answers directly from the terminal! 🚀🚀🚀

Programming for NLP Project - Implement a basic n-gram language model and generate sentence using beam search

Generating text sequences using attention-based Bi-LSTM

Language Modelling, CMI vs Perplexity