AI tools for tldr for video
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GPT Calculator
GPT Calculator is a free tool that helps you calculate the token count and cost of your GPT prompts. You can also use the API to integrate the calculator into your own applications. GPT Calculator is a valuable tool for anyone who uses GPT-3 or other large language models.

TLDR
TLDR is an AI-powered IDE plugin that explains code in plain English. It helps developers understand code by providing quick summaries of what a piece of code is doing. The tool supports almost all programming languages and offers a free version for users to try before purchasing. TLDR aims to simplify the understanding of complex code structures and save developers time in comprehending codebases.

TheBookSum
TheBookSum is an AI-powered tool that provides instant book summaries. It helps users to quickly grasp the core of literature across genres efficiently and deeply. With just a click, users can input the title and author of the book they wish to summarize, and TheBookSum's AI will generate a detailed summary that captures the essence of the book. The summaries are divided into clear segments for easy understanding, and they extract and explain the main concepts and keywords from books, aiding in grasping central themes and terms. TheBookSum is free to use and can summarize a broad spectrum of books, ranging from fiction and non-fiction to technical guides and more.

ReaderMax
ReaderMax is a Chrome extension that uses AI to summarize news articles and other text-based content. It helps users save time and improve their reading comprehension by providing concise, easy-to-understand summaries of long and complex articles. ReaderMax is available as a Chrome extension and a side panel in the Chrome browser.

Ask Occam
Uniquely concise and decisive. Transforms complex problems into simple, clear answers. Ideal for informing quick decisions and rapid top-down learning of new subjects. You may also type "@Ask Occam" in an existing chat to obtain a TLDR summary or a definitive conclusion.

nlp-llms-resources
The 'nlp-llms-resources' repository is a comprehensive resource list for Natural Language Processing (NLP) and Large Language Models (LLMs). It covers a wide range of topics including traditional NLP datasets, data acquisition, libraries for NLP, neural networks, sentiment analysis, optical character recognition, information extraction, semantics, topic modeling, multilingual NLP, domain-specific LLMs, vector databases, ethics, costing, books, courses, surveys, aggregators, newsletters, papers, conferences, and societies. The repository provides valuable information and resources for individuals interested in NLP and LLMs.

Deep-Live-Cam
Deep-Live-Cam is a software tool designed to assist artists in tasks such as animating custom characters or using characters as models for clothing. The tool includes built-in checks to prevent unethical applications, such as working on inappropriate media. Users are expected to use the tool responsibly and adhere to local laws, especially when using real faces for deepfake content. The tool supports both CPU and GPU acceleration for faster processing and provides a user-friendly GUI for swapping faces in images or videos.

learnhouse
LearnHouse is an open-source platform that allows anyone to easily provide world-class educational content. It supports various content types, including dynamic pages, videos, and documents. The platform is still in early development and should not be used in production environments. However, it offers several features, such as dynamic Notion-like pages, ease of use, multi-organization support, support for uploading videos and documents, course collections, user management, quizzes, course progress tracking, and an AI-powered assistant for teachers and students. LearnHouse is built using various open-source projects, including Next.js, TailwindCSS, Radix UI, Tiptap, FastAPI, YJS, PostgreSQL, LangChain, and React.

macOS-use
macOS-use is a project that enables AI agents to interact with a MacBook across any app. It aims to build an AI agent for the MLX by Apple framework to perform actions on Apple devices. The project is under active development and allows users to prompt the agent to perform various tasks on their MacBook. Users need to be cautious as the tool can interact with apps, UI components, and use private credentials. The project is open source and welcomes contributions from the community.

GenAI_Agents
GenAI Agents is a comprehensive repository for developing and implementing Generative AI (GenAI) agents, ranging from simple conversational bots to complex multi-agent systems. It serves as a valuable resource for learning, building, and sharing GenAI agents, offering tutorials, implementations, and a platform for showcasing innovative agent creations. The repository covers a wide range of agent architectures and applications, providing step-by-step tutorials, ready-to-use implementations, and regular updates on advancements in GenAI technology.

appworld
AppWorld is a high-fidelity execution environment of 9 day-to-day apps, operable via 457 APIs, populated with digital activities of ~100 people living in a simulated world. It provides a benchmark of natural, diverse, and challenging autonomous agent tasks requiring rich and interactive coding. The repository includes implementations of AppWorld apps and APIs, along with tests. It also introduces safety features for code execution and provides guides for building agents and extending the benchmark.

gemini-ai
Gemini AI is a Ruby Gem designed to provide low-level access to Google's generative AI services through Vertex AI, Generative Language API, or AI Studio. It allows users to interact with Gemini to build abstractions on top of it. The Gem provides functionalities for tasks such as generating content, embeddings, predictions, and more. It supports streaming capabilities, server-sent events, safety settings, system instructions, JSON format responses, and tools (functions) calling. The Gem also includes error handling, development setup, publishing to RubyGems, updating the README, and references to resources for further learning.

log10
Log10 is a one-line Python integration to manage your LLM data. It helps you log both closed and open-source LLM calls, compare and identify the best models and prompts, store feedback for fine-tuning, collect performance metrics such as latency and usage, and perform analytics and monitor compliance for LLM powered applications. Log10 offers various integration methods, including a python LLM library wrapper, the Log10 LLM abstraction, and callbacks, to facilitate its use in both existing production environments and new projects. Pick the one that works best for you. Log10 also provides a copilot that can help you with suggestions on how to optimize your prompt, and a feedback feature that allows you to add feedback to your completions. Additionally, Log10 provides prompt provenance, session tracking and call stack functionality to help debug prompt chains. With Log10, you can use your data and feedback from users to fine-tune custom models with RLHF, and build and deploy more reliable, accurate and efficient self-hosted models. Log10 also supports collaboration, allowing you to create flexible groups to share and collaborate over all of the above features.

commonplace-bot
Commonplace Bot is a modern representation of the commonplace book, leveraging modern technological advancements in computation, data storage, machine learning, and networking. It aims to capture, engage, and share knowledge by providing a platform for users to collect ideas, quotes, and information, organize them efficiently, engage with the data through various strategies and triggers, and transform the data into new mediums for sharing. The tool utilizes embeddings and cached transformations for efficient data storage and retrieval, flips traditional engagement rules by engaging with the user, and enables users to alchemize raw data into new forms like art prompts. Commonplace Bot offers a unique approach to knowledge management and creative expression.

mcp-context-forge
MCP Context Forge is a powerful tool for generating context-aware data for machine learning models. It provides functionalities to create diverse datasets with contextual information, enhancing the performance of AI algorithms. The tool supports various data formats and allows users to customize the context generation process easily. With MCP Context Forge, users can efficiently prepare training data for tasks requiring contextual understanding, such as sentiment analysis, recommendation systems, and natural language processing.

awesome-transformer-nlp
This repository contains a hand-curated list of great machine (deep) learning resources for Natural Language Processing (NLP) with a focus on Generative Pre-trained Transformer (GPT), Bidirectional Encoder Representations from Transformers (BERT), attention mechanism, Transformer architectures/networks, Chatbot, and transfer learning in NLP.

AI-Player
AI-Player is a Minecraft mod that adds an 'intelligent' second player to the game to combat loneliness while playing solo. It aims to enhance gameplay by providing companionship and interactive features. The mod leverages advanced AI algorithms and integrates with external tools to enhance the player experience. Developed with a focus on addressing the social aspect of gaming, AI-Player is a community-driven project that continues to evolve with user feedback and contributions.

hey
Hey is a free CLI-based AI assistant powered by LLMs, allowing users to connect Hey to different LLM services. It provides commands for quick usage, customization options, and integration with code editors. Hey was created for a hackathon and is licensed under the MIT License.

openai-chat-api-workflow
**OpenAI Chat API Workflow for Alfred** An Alfred 5 Workflow for using OpenAI Chat API to interact with GPT-3.5/GPT-4 🤖💬 It also allows image generation 🖼️, image understanding 👀, speech-to-text conversion 🎤, and text-to-speech synthesis 🔈 **Features:** * Execute all features using Alfred UI, selected text, or a dedicated web UI * Web UI is constructed by the workflow and runs locally on your Mac 💻 * API call is made directly between the workflow and OpenAI, ensuring your chat messages are not shared online with anyone other than OpenAI 🔒 * OpenAI does not use the data from the API Platform for training 🚫 * Export chat data to a simple JSON format external file 📄 * Continue the chat by importing the exported data later 🔄

npcsh
`npcsh` is a python-based command-line tool designed to integrate Large Language Models (LLMs) and Agents into one's daily workflow by making them available and easily configurable through the command line shell. It leverages the power of LLMs to understand natural language commands and questions, execute tasks, answer queries, and provide relevant information from local files and the web. Users can also build their own tools and call them like macros from the shell. `npcsh` allows users to take advantage of agents (i.e. NPCs) through a managed system, tailoring NPCs to specific tasks and workflows. The tool is extensible with Python, providing useful functions for interacting with LLMs, including explicit coverage for popular providers like ollama, anthropic, openai, gemini, deepseek, and openai-like providers. Users can set up a flask server to expose their NPC team for use as a backend service, run SQL models defined in their project, execute assembly lines, and verify the integrity of their NPC team's interrelations. Users can execute bash commands directly, use favorite command-line tools like VIM, Emacs, ipython, sqlite3, git, pipe the output of these commands to LLMs, or pass LLM results to bash commands.

factualNLG
FactualNLG is a tool designed to analyze the consistency of edits in summaries. It includes a benchmark with various LLM models, data release for the SummEdits benchmark, explanation analysis for identifying inconsistent summaries, and prompts used in experiments.