Best AI tools for< Summarize Encounters >

Summarize.tech is an AI-powered tool that provides video summaries for long YouTube videos such as lectures, live events, and government meetings. Users can easily obtain concise summaries of the content through the application, which is powered by artificial intelligence technology. The tool aims to save time and enhance productivity by offering quick access to key information without the need to watch the entire video.

Summarize.ing is an AI-powered tool that provides instant summaries of YouTube videos. It helps users save time by extracting key insights, concepts, and highlights from videos, making it easier to understand and retain information. The tool is particularly useful for educational content, tutorials, and news videos.

Go Summarize is a free YouTube video summarizer powered by AI. It allows users to get a summary of any long YouTube video, such as a lecture, live event, or government meeting. The tool is easy to use: simply copy and paste the YouTube URL into the input field and click the "Go Summarize" button. Go Summarize will then generate a summary of the video, which will include the key points and highlights. The summary can be used to quickly get an overview of a video without having to watch the entire thing.

Shownotes Summarize with ChatGPT is an AI-powered tool that helps you summarize long-form audio and video content. With just a few clicks, you can get a concise and accurate summary of any podcast, lecture, or meeting. Shownotes Summarize with ChatGPT is the perfect tool for busy professionals who want to stay up-to-date on the latest information without having to spend hours listening to or watching content.

Summarize Paper .com is an open-source AI tool that provides concise, understandable, and insightful summaries of the latest research articles on arXiv. The tool uses AI to generate key points and layman's summaries of research papers, making it easy for users to stay up-to-date with the latest developments in their field. In addition to its summary service, Summarize Paper .com also offers an AI assistant that can answer questions about arXiv papers. The tool is designed to make it easy for researchers, students, journalists, and anyone else who wants to stay informed about the latest research to access and understand the latest findings.

Summarize This is an AI-powered tool that provides instant summaries for text, PDFs, websites, and YouTube videos. It leverages the power of AI to transform content into concise summaries, making information gathering quick and effortless. Users can capture the essence of any text, extract main points from web pages, skip to important parts of videos, and save time by summarizing PDFs. The tool also offers the ability to summarize content on iPhones and Chrome browsers, providing a streamlined summarization experience across various platforms.

AI Summarizer is an online tool that uses state-of-the-art AI technology to shorten text while preserving all main points. It ensures accuracy and maintains original context, making it suitable for various types of content like essays or blog posts. Users can easily summarize text by typing or uploading content, with options to download, copy, or clear the summary. The tool offers features like setting summary length, showing bullets and best lines, and supporting multiple languages. It is known for its extensive word count limit, data safety, and readability-enhancing features.

TLDR This is an online article summarizer tool that helps users quickly understand the essence of lengthy content. It uses AI to analyze any piece of text and summarize it automatically, in a way that makes it easy to read, understand, and act on. TLDR This also extracts essential metadata such as author and date information, related images, and the title. Additionally, it estimates the reading time for news articles and blog posts, ensuring users have all the necessary information consolidated in one place for efficient reading. TLDR This is designed for students, writers, teachers, institutions, journalists, and any internet user who needs to quickly understand the essence of lengthy content.

SciSummary is an AI-powered tool designed to summarize scientific articles and research papers quickly and efficiently. It leverages cutting-edge Artificial Intelligence models like GPT-3.5 and GPT-4 to provide accurate and concise summaries for busy scientists, students, and enthusiasts. With features such as unlimited summaries, figure and table analysis, and easy document import, SciSummary aims to streamline the process of digesting complex scientific content. The tool is widely used by researchers, students, and faculty across major universities in the US, offering a valuable solution for literature review, research trends tracking, and information retrieval.

Video Highlight is an AI-powered tool that helps you summarize and take notes from videos. It uses the latest AI technology to generate timestamped summaries and transcripts, highlight key moments, and engage in interactive chats. With Video Highlight, you can save hours of research time and focus on exploring, analyzing, and absorbing content.

Recall is an AI-driven application that allows users to summarize and save any online content to their knowledge base. It automatically organizes and interlinks the saved content for easy rediscovery. Users can summarize podcasts, YouTube videos, news articles, PDFs, and more, and the application categorizes the content based on its mentions. Recall also helps users discover connections between different pieces of content by saving them in a knowledge graph. The application is praised by professionals for its AI-driven summarization and storage capabilities, boosting productivity and facilitating easy access to key details.

Recall is a web and mobile application that allows users to summarize and save any online content. It uses artificial intelligence to automatically categorize and connect saved content, making it easy to find and rediscover later. Recall also offers spaced repetition learning, data export, and offline access.

YouTube Summarized is an AI-powered tool that helps you quickly and easily summarize YouTube videos and podcasts. With our advanced AI technology, you can get a concise and accurate summary of any video or podcast in just a few seconds. Our tool is perfect for students, researchers, journalists, and anyone who wants to save time and get the most important information from their favorite videos and podcasts.

Any Summary is an AI tool that provides the capability to summarize any type of file using artificial intelligence technology. The tool is designed to condense lengthy documents, articles, or texts into concise summaries, making it easier for users to grasp the main points and key information quickly. With its advanced algorithms, Any Summary ensures accurate and efficient summarization, saving users time and effort in processing large amounts of content.

Nobinge is a tool that helps you summarize and chat with YouTube videos. It uses artificial intelligence to bypass ads, sponsors, chit-chat, and get to the point. Nobinge also allows you to ask unlimited questions and get unlimited answers about the video you're watching. You can also listen to your summaries thanks to true-to-life voices in a variety of languages. Nobinge is a great tool for anyone who wants to save time and learn faster.

Any Summary is an AI-powered tool that can summarize any file, regardless of its length or complexity. With Any Summary, you can quickly and easily get a concise overview of any document, making it perfect for students, researchers, and professionals alike. Any Summary uses advanced natural language processing (NLP) techniques to extract the most important information from your documents, and it can summarize text in over 100 languages.

The AI Summarizing Tool is a free online summary generator that uses advanced AI technology to quickly identify important points in text while maintaining the original context. Users can summarize various types of content such as articles, paragraphs, essays, and thesis. The tool is developed with algorithms that ensure accuracy and efficiency in creating summaries without altering the original meaning of the content. It offers features like free usage, unlimited text summarization, support for multiple languages, integration with other writing tools, and precise summaries using AI technology.

Summify is an AI-powered tool that helps users summarize YouTube videos, podcasts, and other audio-visual content. It offers a range of features to make it easy to extract key points, generate transcripts, and transform videos into written content. Summify is designed to save users time and effort, and it can be used for a variety of purposes, including content creation, blogging, learning, digital marketing, and research.

SummaryGenerator.io is an AI-powered text summarizer that uses advanced algorithms and natural language processing to analyze the content and identify main ideas to generate relevant summaries. It generates summaries of varying lengths for any type of content.

Gist AI is a free web, YouTube, and PDF summarizer powered by ChatGPT. It can instantly extract key points from long articles, YouTube videos, or PDFs in one click. Gist AI also allows users to deep dive into the summary source for clarity or jump right to that moment in the YouTube video. Additionally, it can summarize any PDF, including those found online and those saved on the user's device. Gist AI is completely free and has no restrictions on the length of the content.

Julep is an advanced platform for creating stateful and functional AI apps powered by large language models. It offers features like statefulness by design, automatic function calling, production-ready deployment, cron-like asynchronous functions, 90+ built-in tools, and the ability to switch between different LLMs easily. Users can build AI applications without the need to write code for embedding, saving, and retrieving conversation history, and can connect to third-party applications using Composio. Julep simplifies the process of getting started with AI apps, whether they are conversational, functional, or agentic.

h2oGPT is an Apache V2 open-source project that allows users to query and summarize documents or chat with local private GPT LLMs. It features a private offline database of any documents (PDFs, Excel, Word, Images, Video Frames, Youtube, Audio, Code, Text, MarkDown, etc.), a persistent database (Chroma, Weaviate, or in-memory FAISS) using accurate embeddings (instructor-large, all-MiniLM-L6-v2, etc.), and efficient use of context using instruct-tuned LLMs (no need for LangChain's few-shot approach). h2oGPT also offers parallel summarization and extraction, reaching an output of 80 tokens per second with the 13B LLaMa2 model, HYDE (Hypothetical Document Embeddings) for enhanced retrieval based upon LLM responses, a variety of models supported (LLaMa2, Mistral, Falcon, Vicuna, WizardLM. With AutoGPTQ, 4-bit/8-bit, LORA, etc.), GPU support from HF and LLaMa.cpp GGML models, and CPU support using HF, LLaMa.cpp, and GPT4ALL models. Additionally, h2oGPT provides Attention Sinks for arbitrarily long generation (LLaMa-2, Mistral, MPT, Pythia, Falcon, etc.), a UI or CLI with streaming of all models, the ability to upload and view documents through the UI (control multiple collaborative or personal collections), Vision Models LLaVa, Claude-3, Gemini-Pro-Vision, GPT-4-Vision, Image Generation Stable Diffusion (sdxl-turbo, sdxl) and PlaygroundAI (playv2), Voice STT using Whisper with streaming audio conversion, Voice TTS using MIT-Licensed Microsoft Speech T5 with multiple voices and Streaming audio conversion, Voice TTS using MPL2-Licensed TTS including Voice Cloning and Streaming audio conversion, AI Assistant Voice Control Mode for hands-free control of h2oGPT chat, Bake-off UI mode against many models at the same time, Easy Download of model artifacts and control over models like LLaMa.cpp through the UI, Authentication in the UI by user/password via Native or Google OAuth, State Preservation in the UI by user/password, Linux, Docker, macOS, and Windows support, Easy Windows Installer for Windows 10 64-bit (CPU/CUDA), Easy macOS Installer for macOS (CPU/M1/M2), Inference Servers support (oLLaMa, HF TGI server, vLLM, Gradio, ExLLaMa, Replicate, OpenAI, Azure OpenAI, Anthropic), OpenAI-compliant, Server Proxy API (h2oGPT acts as drop-in-replacement to OpenAI server), Python client API (to talk to Gradio server), JSON Mode with any model via code block extraction. Also supports MistralAI JSON mode, Claude-3 via function calling with strict Schema, OpenAI via JSON mode, and vLLM via guided_json with strict Schema, Web-Search integration with Chat and Document Q/A, Agents for Search, Document Q/A, Python Code, CSV frames (Experimental, best with OpenAI currently), Evaluate performance using reward models, and Quality maintained with over 1000 unit and integration tests taking over 4 GPU-hours.

This repository contains a collection of papers and resources related to Large Language Models (LLMs), including their applications in various domains such as text generation, translation, question answering, and dialogue systems. The repository also includes discussions on the ethical and societal implications of LLMs. **Description** This repository is a collection of papers and resources related to Large Language Models (LLMs). LLMs are a type of artificial intelligence (AI) that can understand and generate human-like text. They have a wide range of applications, including text generation, translation, question answering, and dialogue systems. **For Jobs** - **Content Writer** - **Copywriter** - **Editor** - **Journalist** - **Marketer** **AI Keywords** - **Large Language Models** - **Natural Language Processing** - **Machine Learning** - **Artificial Intelligence** - **Deep Learning** **For Tasks** - **Generate text** - **Translate text** - **Answer questions** - **Engage in dialogue** - **Summarize text**

The 'ollama-ebook-summary' repository is a Python project that creates bulleted notes summaries of books and long texts, particularly in epub and pdf formats with ToC metadata. It automates the extraction of chapters, splits them into ~2000 token chunks, and allows for asking arbitrary questions to parts of the text for improved granularity of response. The tool aims to provide summaries for each page of a book rather than a one-page summary of the entire document, enhancing content curation and knowledge sharing capabilities.

RSSBrew is a self-hosted RSS tool designed for aggregating multiple RSS feeds, applying custom filters, and generating AI summaries. It allows users to control content through custom filters based on Link, Title, and Description, with various match types and relationship operators. Users can easily combine multiple feeds into a single processed feed and use AI for article summarization and digest creation. The tool supports Docker deployment and regular installation, with ongoing documentation and development. Licensed under AGPL-3.0, RSSBrew is a versatile tool for managing and summarizing RSS content.

The Local File Organizer is an AI-powered tool designed to help users organize their digital files efficiently and securely on their local device. By leveraging advanced AI models for text and visual content analysis, the tool automatically scans and categorizes files, generates relevant descriptions and filenames, and organizes them into a new directory structure. All AI processing occurs locally using the Nexa SDK, ensuring privacy and security. With support for multiple file types and customizable prompts, this tool aims to simplify file management and bring order to users' digital lives.

Connery SDK is an open-source NPM package that provides an SDK and CLI for developing plugins and actions. The SDK offers a JavaScript API to define plugins and actions, which are then packaged into a plugin server with a standardized REST API. This enables automation in the development process and simplifies handling authorization, input validation, and logging. Users can focus on the logic of their actions while the standardized API allows various clients to interact with actions uniformly. Actions can communicate with external APIs, databases, or services, making it versatile for creating AI plugins and actions.

The llama-cpp-agent framework is a tool designed for easy interaction with Large Language Models (LLMs). Allowing users to chat with LLM models, execute structured function calls and get structured output (objects). It provides a simple yet robust interface and supports llama-cpp-python and OpenAI endpoints with GBNF grammar support (like the llama-cpp-python server) and the llama.cpp backend server. It works by generating a formal GGML-BNF grammar of the user defined structures and functions, which is then used by llama.cpp to generate text valid to that grammar. In contrast to most GBNF grammar generators it also supports nested objects, dictionaries, enums and lists of them.

AIS-catcher: A multi-platform AIS Receiver

MemFree is an open-source hybrid AI search engine that allows users to simultaneously search their personal knowledge base (bookmarks, notes, documents, etc.) and the Internet. It features a self-hosted super fast serverless vector database, local embedding and rerank service, one-click Chrome bookmarks index, and full code open source. Users can contribute by opening issues for bugs or making pull requests for new features or improvements.

AGiXT is a dynamic Artificial Intelligence Automation Platform engineered to orchestrate efficient AI instruction management and task execution across a multitude of providers. Our solution infuses adaptive memory handling with a broad spectrum of commands to enhance AI's understanding and responsiveness, leading to improved task completion. The platform's smart features, like Smart Instruct and Smart Chat, seamlessly integrate web search, planning strategies, and conversation continuity, transforming the interaction between users and AI. By leveraging a powerful plugin system that includes web browsing and command execution, AGiXT stands as a versatile bridge between AI models and users. With an expanding roster of AI providers, code evaluation capabilities, comprehensive chain management, and platform interoperability, AGiXT is consistently evolving to drive a multitude of applications, affirming its place at the forefront of AI technology.

This repository contains code for training reward models for Deep Reinforcement Learning-based Reward-modulated Hierarchical Fine-tuning (DRL-based RLHF), Iterative Selection Fine-tuning (Rejection sampling fine-tuning), and iterative Decision Policy Optimization (DPO). The reward models are trained using a Bradley-Terry model based on the Gemma and Mistral language models. The resulting reward models achieve state-of-the-art performance on the RewardBench leaderboard for reward models with base models of up to 13B parameters.

Qwen is a series of large language models developed by Alibaba DAMO Academy. It outperforms the baseline models of similar model sizes on a series of benchmark datasets, e.g., MMLU, C-Eval, GSM8K, MATH, HumanEval, MBPP, BBH, etc., which evaluate the models’ capabilities on natural language understanding, mathematic problem solving, coding, etc. Qwen models outperform the baseline models of similar model sizes on a series of benchmark datasets, e.g., MMLU, C-Eval, GSM8K, MATH, HumanEval, MBPP, BBH, etc., which evaluate the models’ capabilities on natural language understanding, mathematic problem solving, coding, etc. Qwen-72B achieves better performance than LLaMA2-70B on all tasks and outperforms GPT-3.5 on 7 out of 10 tasks.

LLMLingua is a tool that utilizes a compact, well-trained language model to identify and remove non-essential tokens in prompts. This approach enables efficient inference with large language models, achieving up to 20x compression with minimal performance loss. The tool includes LLMLingua, LongLLMLingua, and LLMLingua-2, each offering different levels of prompt compression and performance improvements for tasks involving large language models.

HolmesGPT is an open-source DevOps assistant powered by OpenAI or any tool-calling LLM of your choice. It helps in troubleshooting Kubernetes, incident response, ticket management, automated investigation, and runbook automation in plain English. The tool connects to existing observability data, is compliance-friendly, provides transparent results, supports extensible data sources, runbook automation, and integrates with existing workflows. Users can install HolmesGPT using Brew, prebuilt Docker container, Python Poetry, or Docker. The tool requires an API key for functioning and supports OpenAI, Azure AI, and self-hosted LLMs.

Parrot.nvim is a Neovim plugin that prioritizes a seamless out-of-the-box experience for text generation. It simplifies functionality and focuses solely on text generation, excluding integration of DALLE and Whisper. It supports persistent conversations as markdown files, custom hooks for inline text editing, multiple providers like Anthropic API, perplexity.ai API, OpenAI API, Mistral API, and local/offline serving via ollama. It allows custom agent definitions, flexible API credential support, and repository-specific instructions with a `.parrot.md` file. It does not have autocompletion or hidden requests in the background to analyze files.

ChatGPT CLI provides a powerful command-line interface for seamless interaction with ChatGPT models via OpenAI and Azure. It features streaming capabilities, extensive configuration options, and supports various modes like streaming, query, and interactive mode. Users can manage thread-based context, sliding window history, and provide custom context from any source. The CLI also offers model and thread listing, advanced configuration options, and supports GPT-4, GPT-3.5-turbo, and Perplexity's models. Installation is available via Homebrew or direct download, and users can configure settings through default values, a config.yaml file, or environment variables.

I assist doctors in simulations, summarizing patient encounters and devising hypothetical treatment plans.

Expert in concise article summarization and key point extraction.

Summarizes in bullet points; simplifies complex topics with analogies.

Summarize to Memorize

Put paper name or pdf to read. it will summarize wildly. If you want to get the meaning of glossary, write G.

Find and summarize recent papers in biology, chemistry, and biomedical sciences.

Summarize your mood in a few sentences and I will recommend you a song that will relax you. Whichever platform you want to listen to, I will also give you the links on that platform. You can click and listen now.

You are able to search the web and let AI summarize search results for you

Browse the web for the search term and summarize the results from sources

Summarize about the topic based on scientifically sound information

Upload disclosure documents, and I will summarize what's going on, identify red flag areas to look closer at, and answer all Q&A!

Helps summarize and structure academic writing ideas.

v1.2 Enter an article or web address that will summarize the central idea for you. I hope this is helpful to you. Thanks. 输入一篇文章或网址，为您总结重点。希望对您有帮助。谢谢。 www.Strilen.com [email protected]

An AI that lets you summarize and ask questions with any book you upload to it.

Your AI Google Slides assistant! Effortlessly locate, manage, and summarize your presentations!

A GPT/AI system designed to collect, analyze, and summarize recent news from established media outlets, emphasizing balance in perspectives and precision in content delivery, with a default focus on top breaking news stories, adaptable to user-specified topics.

I create bilingual, bullet-point summaries.

I create formal, one-sentence summaries from text blocks.

Summarizes texts in various languages, matching user's language.

Generates concise, professional "Bottom Line Up Front" summaries of documents and text.