AIProjectPulse - Discover Noteworthy AI & Machine Learning GitHub Projects
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AIProjectPulse - Discover Noteworthy AI & Machine Learning GitHub Projects

AIProjectPulse

Discover the most innovative AI and machine learning projects from GitHub.

LLMFlows: Framework for Building LLM Applications

 published on  included in  category Python
GitHub Stats Value
Stars 661
Forks 34
Language Python
Created 2023-06-26
License MIT License

LLMFlows is a framework designed to simplify the development of applications powered by Large Language Models (LLMs), such as chatbots, question-answering systems, and agents. It provides a minimalistic set of abstractions that enable the use of LLMs and vector stores in a transparent and well-structured manner. Unlike other frameworks, LLMFlows ensures that all components are explicit and free from hidden prompts or LLM calls, making it easier to monitor, maintain, and debug your applications. With its focus on simplicity and transparency, LLMFlows is an invaluable tool for anyone looking to build robust and manageable LLM-powered apps.

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 Ai, Llm, Llm-Inference, Llmops, Llms, Machine-Learning, Openai, Prompt-Engineering, Question-Answering, Vector-Database, Chatgpt, Gpt-4, Python

awesome-ai-models: Curated List of Top AI Models and LLMs

 published on  included in  category Categories
GitHub Stats Value
Stars 37
Forks 5
Language
Created 2024-07-20
License -

Welcome to Awesome AI Models, a curated list of top AI models and Large Language Models (LLMs) that sets the gold standard in the industry. This repository is your go-to destination for exploring the latest advancements in generative AI and LLMs. Whether you’re an enthusiast or a developer, you’ll find a comprehensive selection of AI models, including hosting platforms like Hugging Face and Github Models. Contribute to our growing repository with a pull request—it’s completely free Join us to stay at the forefront of AI model innovations.

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 Ai, Ai-Model, Ai-Models, Altern, Awesome, Awesome-Ai, Awesome-List, Large-Language-Models, Llms, Machine-Learning, Ml, Theresanaiforthat, Top-Ai-Tools, Top-Ai-Models, Top-Llms

awesome-ai-tools: Curated List of Top AI Tools

 published on  included in  category Categories
GitHub Stats Value
Stars 1087
Forks 228
Language
Created 2023-08-25
License -

The ‘awesome-ai-tools’ project is a comprehensive and curated list of top Artificial Intelligence tools, including generative AI, Large Language Models (LLMs), and various other AI applications. This resource is designed to help users stay updated with the latest innovations in the AI field. Whether you’re interested in AI text generation, code development with AI, generative images and videos, or AI tools for marketing and more, this project has something for everyone. It also invites contributions and features a newsletter for regular updates, making it a valuable resource for anyone looking to explore and stay ahead in the world of AI.

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 Ai, Ai-Tools, Machine-Learning, Ml, Mlops, Awesome, Awesome-List, Futurepedia, Futuretools, Ai-Top-Tools, Easywithai, Bestofai, Theresanaiforthat, Awesome-Ai-Tools, Awesome-Ai, Top-Ai-Tools
Featured image for ChatGPT-Comparison-Detection: Human vs. ChatGPT Corpus and Detection Tool

ChatGPT-Comparison-Detection: Human vs. ChatGPT Corpus and Detection Tool

 published on  included in  category Python
GitHub Stats Value
Stars 1250
Forks 119
Language Python
Created 2023-01-07
License -

The ‘chatgpt-comparison-detection’ project is a comprehensive initiative aimed at evaluating and comparing the responses of ChatGPT with those of human experts. It introduces the Human ChatGPT Comparison Corpus (HC3), a novel dataset that includes question-answer pairs in both English and Chinese. This corpus is designed to assess how closely ChatGPT’s responses align with those of human experts, providing valuable insights into the capabilities and limitations of AI language models. By exploring this project, researchers and developers can gain a deeper understanding of AI performance and contribute to the improvement of detection methods for distinguishing between human and AI-generated content.

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 Ai, Chatbot, Chatgpt, Dataset, Nlp, Openai, Text-Classification, Python, Gpt2, Gpt3, Gpt-3, Ml, Machine-Learning, Deep-Learning

chatgpt.js: Client-Side JavaScript ChatGPT Library

 published on  included in  category JavaScript
GitHub Stats Value
Stars 1868
Forks 122
Language JavaScript
Created 2023-03-15
License MIT License

Chatgpt.js is a robust client-side JavaScript library designed to facilitate seamless interaction with the ChatGPT DOM. This feature-rich, object-oriented library is easy to use and lightweight, making it an ideal choice for developers looking to integrate ChatGPT functionality into their projects. With its intuitive interface and optimal performance, chatgpt.js simplifies the process of leveraging ChatGPT’s capabilities, making it worth exploring for anyone interested in AI-driven user interactions. Its versatility and ease of use make it a valuable tool for a wide range of applications.

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 Ai, Artificial-Intelligence, Chatgpt, Nlp, Bot, Chat, Chatbot, Clientside, Conversational-Ai, Conversational-Bots, Frontend, Gpt, Gpt-3, Gpt-4, Javascript, Library, Machine-Learning, Ml, Openai, Kudoai
Featured image for Cognita: Modular API for Langchain Scaling

Cognita: Modular API for Langchain Scaling

 published on  included in  category Python
GitHub Stats Value
Stars 3166
Forks 256
Language Python
Created 2023-07-26
License Apache License 2.0

Cognita is a robust project designed to streamline the development and deployment of AI-driven applications, particularly those leveraging Langchain and LlamaIndex. It addresses the need for modularity, scalability, and extendibility when transitioning from prototyping to production environments. By organizing your codebase into modular, API-driven components, Cognita ensures ease of use in both local setups and production-ready environments. It also offers no-code UI support and default incremental indexing. With recent additions like AudioParser and VideoParser, Cognita enhances its capabilities in multimedia processing, making it a valuable tool for developers seeking a structured and efficient approach to AI application development.

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 Ai, Deep-Learning, Generative-Ai, Llmops, Machine-Learning, Mlops, Model-Deployment, Python, Rag, Retrieval-Augmented-Generation, Typescript, Agent, Application, Data, Fine-Tuning, Framework, Llm, Llm-Ops