Best AI Websites & Tools

awesome-prompts

Awesome-prompts is a GitHub repository that collects a variety of useful AI model prompts.

CommonProductProductivityArtificial IntelligenceMachine Learning

Maintained by the ai-boost organization, the awesome-prompts repository aims to provide a rich resource library for AI researchers and developers, containing prompt samples for various language models to help users better interact with AI.

Collects and organizes AI model prompts
Supports multiple languages and application scenarios
Provides examples and usage instructions

Suitable for AI researchers
developers
and anyone interested in interacting with AI models.

Use prompts from awesome-prompts to improve the quality of AI model interaction
Apply the collected prompts in AI projects to spark creativity
Learn and reference best practices for AI model prompts

Visit

awesome-prompts Visit Over Time

Monthly Visits

515580771

Bounce Rate

37.20%

Page per Visit

5.8

Visit Duration

00:06:42

awesome-prompts Visit Trend

awesome-prompts Visit Geography

awesome-prompts Traffic Sources

awesome-prompts Alternatives

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Programming•Artificial Intelligence•Natural Language Processing

xAI — AI to Accelerate Human Scientific Discovery

MemoRAG — A memory-based RAG framework for general-purpose applications

Programming•Natural Language Processing•Machine Learning

RAGLAB — A modular, research-oriented unified framework for retrieval-augmented generation

Programming•Natural Language Processing•Machine Learning

DeepSeek-V2.5 — An AI model integrating general and programming capabilities.

Productivity•Artificial Intelligence•Machine Learning

144

West Lake AI Model — A multimodal model with high emotional and intellectual intelligence

ChineseSelection•Artificial Intelligence•Multimodal

240

RWKV v6 Finch 14B — RWKV v6 Finch 14B is an open-source large model that efficiently processes long texts.

Productivity•Artificial Intelligence•Natural Language Processing

216

C4AI Command R+ 08-2024 — A multilingual advanced dialogue generation model with 104 billion parameters.

Productivity•Artificial Intelligence•Machine Learning

LLM Playground — An interactive platform for loading and testing large language models.

Productivity•Artificial Intelligence•Machine Learning

MiLM-6B — A large-scale pre-trained language model developed by Xiaomi with a parameter scale of 64 billion.

Programming•Natural Language Processing•Machine Learning

252

GPT-4o — GPT-4o, a flagship model capable of real-time processing of audio, visual, and textual data.

chatting•Artificial Intelligence•Natural Language Processing

318

Fugaku-LLM — Fugaku-LLM is an AI model specializing in text generation.

Productivity•Text Generation•Machine Learning

264

Next AI Jobs — Discover the best AI jobs and career opportunities in artificial intelligence, machine learning, natural language processing, and data science.

Business•Artificial Intelligence•Machine Learning

114

MAP-NEO — MAP-NEO is an entirely open-source large language model offering advanced natural language processing capabilities.

Programming•Natural Language Processing•Open Source

426

Amazon Titan Text Premier — An advanced language model designed to build generative AI applications based on Retrieval Augmented Generation (RAG) and agents

Productivity•Artificial Intelligence•Natural Language Processing

234

phi3-Chinese — Committed to collecting and organizing the various training variants of the phi3 model from the open source community, as well as providing tutorials for training, inference, and deployment.

Programming•Artificial Intelligence•Machine Learning

258

spRAG — A Retrieval-Augmented Generation (RAG) framework designed to address challenging queries for dense unstructured data

Programming•Artificial Intelligence•Natural Language Processing

LLaVA++ — LLaVA++ extends the LLaVA model by integrating Phi-3 and LLaMA-3, enhancing the interaction capability between visual and language models.

Programming•Artificial Intelligence•Natural Language Processing

468

Qwen1.5-110B — The first petabyte-scale open-source model in the Qwen1.5 series, supporting multilingual functionality and an efficient Transformer decoder architecture.

ChineseSelection•Artificial Intelligence•Machine Learning

564

Snowflake Arctic — An efficient enterprise-level AI model that achieves high-quality custom models at a low cost.

InternationalSelection•Artificial Intelligence•Machine Learning

168

Hugging Face Course — Official courses from Hugging Face, providing tutorials and resources on using Hugging Face products.

Education•Education•Natural Language Processing

834

ReadAgent — A human-inspired reading agent with the capability of remembering key points from very long contexts.

Education•Artificial Intelligence•Natural Language Processing

384

MonkeyLearn — No-code text analytics. Free to start!

Productivity•Machine Learning•Natural Language Processing

636

Claude — Building the future of AI

Productivity•Artificial Intelligence•Deep Learning

708

Best AI Websites & Tools

awesome-prompts

awesome-prompts Visit Over Time

awesome-prompts Visit Trend

awesome-prompts Visit Geography

awesome-prompts Traffic Sources

awesome-prompts Alternatives

O1-Journey — O1 Journey: Strategic Progress Report Part One

Llama-3.2-3B — Multilingual Large Language Model

YunHu Ai — An AI assistant that creates limitless possibilities.

SmartDialogue — Explore unlimited intelligence and build a more perfect path of aggregation.

GRIN-MoE — High-performance, low-resource consumption hybrid expert model

Mistral-Small-Instruct-2409 — High-performance instruct-tuned AI model

xAI — AI to Accelerate Human Scientific Discovery

MemoRAG — A memory-based RAG framework for general-purpose applications

RAGLAB — A modular, research-oriented unified framework for retrieval-augmented generation

DeepSeek-V2.5 — An AI model integrating general and programming capabilities.

West Lake AI Model — A multimodal model with high emotional and intellectual intelligence

RWKV v6 Finch 14B — RWKV v6 Finch 14B is an open-source large model that efficiently processes long texts.

C4AI Command R+ 08-2024 — A multilingual advanced dialogue generation model with 104 billion parameters.

LLM Playground — An interactive platform for loading and testing large language models.

MiLM-6B — A large-scale pre-trained language model developed by Xiaomi with a parameter scale of 64 billion.

GPT-4o — GPT-4o, a flagship model capable of real-time processing of audio, visual, and textual data.

Fugaku-LLM — Fugaku-LLM is an AI model specializing in text generation.

Next AI Jobs — Discover the best AI jobs and career opportunities in artificial intelligence, machine learning, natural language processing, and data science.

MAP-NEO — MAP-NEO is an entirely open-source large language model offering advanced natural language processing capabilities.

Amazon Titan Text Premier — An advanced language model designed to build generative AI applications based on Retrieval Augmented Generation (RAG) and agents

phi3-Chinese — Committed to collecting and organizing the various training variants of the phi3 model from the open source community, as well as providing tutorials for training, inference, and deployment.

spRAG — A Retrieval-Augmented Generation (RAG) framework designed to address challenging queries for dense unstructured data

LLaVA++ — LLaVA++ extends the LLaVA model by integrating Phi-3 and LLaMA-3, enhancing the interaction capability between visual and language models.

Qwen1.5-110B — The first petabyte-scale open-source model in the Qwen1.5 series, supporting multilingual functionality and an efficient Transformer decoder architecture.

Snowflake Arctic — An efficient enterprise-level AI model that achieves high-quality custom models at a low cost.

Hugging Face Course — Official courses from Hugging Face, providing tutorials and resources on using Hugging Face products.

ReadAgent — A human-inspired reading agent with the capability of remembering key points from very long contexts.

MonkeyLearn — No-code text analytics. Free to start!

Claude — Building the future of AI