Best AI tools for< Learn From Tedx Talks >

TED SMRZR is a web application that converts TEDx Talks into short summaries. It uses AI models to fetch the transcript from the TEDx video, punctuate the transcribed data, and then summarize it. The summarized talks are then translated into different languages and compared to similar TEDx Talks for deep insights. TED SMRZR provides nicely punctuated TED Talks to read and short summaries for all the available TED Talks. Users can also select multiple Talks and compare their summaries.

Booknotes is an AI-powered platform that provides concise and insightful summaries of popular nonfiction books. With Booknotes, you can quickly grasp the key ideas and takeaways from best-selling books in just 15 minutes or less. Our summaries are written by experts in their respective fields and are designed to help you learn and grow without having to spend hours reading entire books.

Great Learning is an online platform offering a wide range of courses, PG certificates, and degree programs in various domains such as AI & Machine Learning, Data Science, Business Analytics, Cloud Computing, Cyber Security, Software Development, Digital Marketing, Design, MBA, and Masters. The platform provides opportunities to learn from top universities, offers career support, success stories, and enterprise solutions. With a focus on AI and Machine Learning, Great Learning aims to elevate expertise and provide transformative programs to help individuals enhance their skills and advance their careers.

Dhime is an AI-powered dance coaching application that allows users to learn dance conveniently from expert video tutorials, practice with AI guidance and feedback, and improve their dance skills with confidence. It offers unlimited practice, personalized lessons, and continuous progress tracking for effective learning. Dhime serves as a platform for both tutors and dance academies to reach worldwide students and enhance their teaching methods. The application ensures privacy by recording and analyzing dance videos internally without sharing them externally. With Dhime, users can learn dance anytime, anywhere, and at their own pace.

Language Reactor is a web application that helps users learn foreign languages by watching videos with interactive subtitles. Users can hover over any word in the subtitles to see its translation, definition, and pronunciation. They can also click on any word to add it to their vocabulary list. Language Reactor also offers a variety of exercises to help users practice their listening, speaking, reading, and writing skills.

AskVideo.ai is a powerful AI tool designed for efficient study and research by allowing users to chat with any YouTube video. It enables users to ask questions, unearth insights, and uncover the best moments with blazing speed. The tool offers numerous use cases, such as engaging with university lectures, tutorial videos, conference talks, seminars, and documentaries. Users can deepen their understanding, clarify doubts instantly, and learn smarter with the help of AskVideo.ai.

Podwise is an AI-powered podcast tool that helps users extract structured knowledge from podcasts. It offers features such as AI-powered summarization, mind mapping, outlining, transcription, and integration with popular knowledge management tools. Podwise aims to enhance the podcast listening experience by providing users with a more efficient and effective way to learn and retain information from podcasts.

Priceflow is an AI tool designed to help users create pricing pages that convert. It allows users to learn from the pricing pages of top AI & SaaS products to enhance their pricing strategy, model, and design. The platform offers various resources and subscription options tailored to different needs, such as tiered pricing, usage-based pricing, and more. Priceflow aims to empower businesses to optimize their pricing strategies through AI-driven insights and best practices.

Easy Dictation is an AI-powered application designed to enhance English listening skills through dictation practice. Users can learn from any YouTube video without the hassle of rewinding repeatedly. The app automatically segments sentences, provides AI feedback for speaking practice, generates reports, and tracks learning progress. With features like accuracy checks, rich video sources, and easy-to-use interface, Easy Dictation offers an enjoyable learning experience for English language learners.

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Emdash is an AI-powered tool designed to help users organize their book highlights effectively. By utilizing AI technology, Emdash can analyze and categorize text snippets, making it easier for users to remember and learn from their readings. The tool offers features such as conceptual cousins, instant semantic search, tagging, rating, note-taking, and reflection capabilities. Users can also export their organized data back to epub format for review on e-readers. Emdash is free, open-source, and aims to provide a seamless reading experience for book enthusiasts.

BabySleepBot™ is an AI-powered online DIY program designed to help parents teach their babies to sleep through the night and take longer day naps. The program offers personalized training tailored to different parenting styles and babies' individual needs. It includes audio clips, personalized training, companion guide, education on decoding baby's tired cues, custom routines, and access to results within three weeks. The program is led by Jennifer, Australia's leading baby sleep consultant with 22+ years of experience and a proven track record of helping thousands of families achieve successful sleep outcomes.

Task Hub AI is a community-driven platform dedicated to empowering users with the capabilities of artificial intelligence. It offers resources, support, and practical skills through its AI Academy to help users turn their AI ideas into real-world solutions. Users can collaborate with peers, share ideas, work on projects, and access a library of public AI endpoints. The platform caters to regular users, advanced users, and developers, providing customization options, developer API, and round-the-clock support. Task Hub AI aims to make AI accessible and practical for everyone, offering affordable pricing plans with varying usage limits.

Cody is a career journaling app that helps users capture and elevate their careers. It offers features such as effortless career tracking, goal setting, and AI-powered insights. Cody is designed to help users become better leaders and professionals by providing them with a platform to reflect on their achievements, strengths, and areas for improvement.

The website is currently displaying a '403 Forbidden' error, which means that access to the requested resource is forbidden. This error is typically caused by insufficient permissions or server misconfiguration. The 'openresty' mentioned in the text is likely the web server software being used. It is not an AI tool or application, but rather a web server technology.

YouLearn is an AI-powered tutoring platform designed to help learners understand and learn from various types of content such as PDFs, videos, and slides. With features like instant answers, content upload, and sources included, YouLearn aims to simplify learning and improve knowledge retention. Trusted by over 110,000 learners worldwide, the platform offers a seamless learning experience by providing personalized AI tutoring services. Whether you are a student, professional, or lifelong learner, YouLearn is built to enhance your learning journey and make education more accessible and engaging.

Hallo is a language learning app that uses AI tutors to help users practice speaking and learning new languages. With Hallo, users can have conversations and practice with AI tutors anytime, anywhere. Hallo also offers role-play scenarios with celebrities and hundreds of topics to learn from. Users can track their progress and receive feedback from AI tutors on their fluency, grammar, and vocabulary.

Noctie.ai is a personal AI chess coach with a human touch. It offers a variety of features to help users improve their chess game, including custom tactics & exercises, openings & endgames, and live insights. Noctie.ai is suitable for users of all levels, from beginners to grandmasters. It is a great way to practice chess, learn from your mistakes, and improve your overall chess skills.

YouTube Summaries is an AI-powered tool that generates summaries of YouTube videos. It can summarize podcasts, lectures, product launches, tech reviews, and more. The tool is designed to help users quickly revise educational and how-to videos, enabling effective learning. It also offers a variety of features, including the ability to search for specific keywords, adjust the summary length, and share summaries with others.

Feedbase is an AI-powered dashboard tool designed to help businesses listen to customer feedback, learn from it, and level up their operations. It offers easy integration through a simple script or widget, providing insights and analytics on customer feedback. With pricing plans catering to startups and businesses of all sizes, Feedbase aims to make customer feedback management simple and effective.

Pwnagotchi is an AI tool leveraging bettercap to learn from WiFi environments and maximize crackable WPA key material. It uses LSTM with MLP feature extractor for A2C agent, learning over epochs to improve performance in various WiFi environments. Units can cooperate using a custom parasite protocol. Visit https://www.pwnagotchi.ai for documentation and community links.

Reinforcement Learning from AI Feedback (RLAIF) is a concept that describes a type of machine learning approach where **an AI agent learns by receiving feedback or guidance from another AI system**. This concept is closely related to the field of Reinforcement Learning (RL), which is a type of machine learning where an agent learns to make a sequence of decisions in an environment to maximize a cumulative reward. In traditional RL, an agent interacts with an environment and receives feedback in the form of rewards or penalties based on the actions it takes. It learns to improve its decision-making over time to achieve its goals. In the context of Reinforcement Learning from AI Feedback, the AI agent still aims to learn optimal behavior through interactions, but **the feedback comes from another AI system rather than from the environment or human evaluators**. This can be **particularly useful in situations where it may be challenging to define clear reward functions or when it is more efficient to use another AI system to provide guidance**. The feedback from the AI system can take various forms, such as: - **Demonstrations** : The AI system provides demonstrations of desired behavior, and the learning agent tries to imitate these demonstrations. - **Comparison Data** : The AI system ranks or compares different actions taken by the learning agent, helping it to understand which actions are better or worse. - **Reward Shaping** : The AI system provides additional reward signals to guide the learning agent's behavior, supplementing the rewards from the environment. This approach is often used in scenarios where the RL agent needs to learn from **limited human or expert feedback or when the reward signal from the environment is sparse or unclear**. It can also be used to **accelerate the learning process and make RL more sample-efficient**. Reinforcement Learning from AI Feedback is an area of ongoing research and has applications in various domains, including robotics, autonomous vehicles, and game playing, among others.

Awesome-Lists is a curated index of selected resources spanning various fields including programming languages and theories, web and frontend development, server-side development and infrastructure, cloud computing and big data, data science and artificial intelligence, product design, etc. It includes articles, books, courses, examples, open-source projects, and more. The repository categorizes resources according to the knowledge system of different domains, aiming to provide valuable and concise material indexes for readers. Users can explore and learn from a wide range of high-quality resources in a systematic way.

AI-Powered Search provides code examples for the book 'AI-Powered Search' by Trey Grainger, Doug Turnbull, and Max Irwin. The book teaches modern machine learning techniques for building search engines that continuously learn from users and content to deliver more intelligent and domain-aware search experiences. It covers semantic search, retrieval augmented generation, question answering, summarization, fine-tuning transformer-based models, personalized search, machine-learned ranking, click models, and more. The code examples are in Python, leveraging PySpark for data processing and Apache Solr as the default search engine. The repository is open source under the Apache License, Version 2.0.

AgentGPT is a platform that allows users to configure and deploy autonomous AI agents. Users can name their own custom AI and set it on any goal. The AI will think of tasks, execute them, and learn from the results to reach the goal. The platform provides a demo experience, automatic setup CLI, and a tech stack including Next.js, FastAPI, Prisma, TailwindCSS, Zod, and more. AgentGPT is designed to help users easily create and deploy AI agents for various tasks.

AI Samples for .NET is a repository containing various samples demonstrating how to use AI in .NET applications. It provides quickstarts using Semantic Kernel and Azure OpenAI SDK, covers LLM Core Concepts, End to End Examples, Local Models, Local Embedding Models, Tokenizers, Vector Databases, and Reference Examples. The repository showcases different AI-related projects and tools for developers to explore and learn from.

Civitai is a platform where people can share their stable diffusion models (textual inversions, hypernetworks, aesthetic gradients, VAEs, and any other crazy stuff people do to customize their AI generations), collaborate with others to improve them, and learn from each other's work. The platform allows users to create an account, upload their models, and browse models that have been shared by others. Users can also leave comments and feedback on each other's models to facilitate collaboration and knowledge sharing.

LearnOpenCV is a repository containing code for Computer Vision, Deep learning, and AI research articles shared on the blog LearnOpenCV.com. It serves as a resource for individuals looking to enhance their expertise in AI through various courses offered by OpenCV. The repository includes a wide range of topics such as image inpainting, instance segmentation, robotics, deep learning models, and more, providing practical implementations and code examples for readers to explore and learn from.

The go2coding.github.io repository is a collection of resources for AI enthusiasts, providing information on AI products, open-source projects, AI learning websites, and AI learning frameworks. It aims to help users stay updated on industry trends, learn from community projects, access learning resources, and understand and choose AI frameworks. The repository also includes instructions for local and external deployment of the project as a static website, with details on domain registration, hosting services, uploading static web pages, configuring domain resolution, and a visual guide to the AI tool navigation website. Additionally, it offers a platform for AI knowledge exchange through a QQ group and promotes AI tools through a WeChat public account.

TensorZero is an open-source platform that helps LLM applications graduate from API wrappers into defensible AI products. It enables a data & learning flywheel for LLMs by unifying inference, observability, optimization, and experimentation. The platform includes a high-performance model gateway, structured schema-based inference, observability, experimentation, and data warehouse for analytics. TensorZero Recipes optimize prompts and models, and the platform supports experimentation features and GitOps orchestration for deployment.

Rubix ML is a high-level machine learning and deep learning library for the PHP language. It provides a developer-friendly API with over 40 supervised and unsupervised learning algorithms, support for ETL, preprocessing, and cross-validation. The library is open source and free to use commercially. Rubix ML allows users to build machine learning programs in PHP, covering the entire machine learning life cycle from data processing to training and production. It also offers tutorials and educational content to help users get started with machine learning projects.

CleanStream is an OBS plugin that utilizes real-time local AI to clean live audio streams by removing unwanted words and utterances, such as 'uh' and 'um', and configurable words like profanity. It employs a neural network (OpenAI Whisper) to predict speech in real-time and eliminate undesired words. The plugin runs efficiently using the Whisper.cpp project from ggerganov. CleanStream offers users the ability to adjust settings and add the plugin to any audio-generating source in OBS, providing a seamless experience for content creators looking to enhance the quality of their live audio streams.

The Machine Learning Road Map is a comprehensive guide designed to take individuals from various levels of machine learning knowledge to a basic understanding of machine learning principles using high-quality, free resources. It aims to simplify the complex and rapidly growing field of machine learning by providing a structured roadmap for learning. The guide emphasizes the importance of understanding AI for everyone, the need for patience in learning machine learning due to its complexity, and the value of learning from experts in the field. It covers five different paths to learning about machine learning, catering to consumers, aspiring AI researchers, ML engineers, developers interested in building ML applications, and companies looking to implement AI solutions.

This repository contains samples to help design AI applications using data from an Azure SQL Database. It showcases technical concepts and workflows integrating Azure SQL data with popular AI components both within and outside Azure. The samples cover various AI features such as Azure Cognitive Services, Promptflow, OpenAI, Vanna.AI, Content Moderation, LangChain, and more. Additionally, there are end-to-end samples like Similar Content Finder, Session Conference Assistant, Chatbots, Vectorization, SQL Server Database Development, Redis Vector Search, and Similarity Search with FAISS.

AlwaysReddy is a simple LLM assistant with no UI that you interact with entirely using hotkeys. It can easily read from or write to your clipboard, and voice chat with you via TTS and STT. Here are some of the things you can use AlwaysReddy for: - Explain a new concept to AlwaysReddy and have it save the concept (in roughly your words) into a note. - Ask AlwaysReddy "What is X called?" when you know how to roughly describe something but can't remember what it is called. - Have AlwaysReddy proofread the text in your clipboard before you send it. - Ask AlwaysReddy "From the comments in my clipboard, what do the r/LocalLLaMA users think of X?" - Quickly list what you have done today and get AlwaysReddy to write a journal entry to your clipboard before you shutdown the computer for the day.

**Prompt flow** is a suite of development tools designed to streamline the end-to-end development cycle of LLM-based AI applications, from ideation, prototyping, testing, evaluation to production deployment and monitoring. It makes prompt engineering much easier and enables you to build LLM apps with production quality.

Awesome-LLM-in-Social-Science is a repository that compiles papers evaluating Large Language Models (LLMs) from a social science perspective. It includes papers on evaluating, aligning, and simulating LLMs, as well as enhancing tools in social science research. The repository categorizes papers based on their focus on attitudes, opinions, values, personality, morality, and more. It aims to contribute to discussions on the potential and challenges of using LLMs in social science research.

RD-Agent is a tool designed to automate critical aspects of industrial R&D processes, focusing on data-driven scenarios to streamline model and data development. It aims to propose new ideas ('R') and implement them ('D') automatically, leading to solutions of significant industrial value. The tool supports scenarios like Automated Quantitative Trading, Data Mining Agent, Research Copilot, and more, with a framework to push the boundaries of research in data science. Users can create a Conda environment, install the RDAgent package from PyPI, configure GPT model, and run various applications for tasks like quantitative trading, model evolution, medical prediction, and more. The tool is intended to enhance R&D processes and boost productivity in industrial settings.

Start Machine Learning in 2024 is a comprehensive guide for beginners to advance in machine learning and artificial intelligence without any prior background. The guide covers various resources such as free online courses, articles, books, and practical tips to become an expert in the field. It emphasizes self-paced learning and provides recommendations for learning paths, including videos, podcasts, and online communities. The guide also includes information on building language models and applications, practicing through Kaggle competitions, and staying updated with the latest news and developments in AI. The goal is to empower individuals with the knowledge and resources to excel in machine learning and AI.

This repository is a comprehensive guide for individuals looking to start and improve their skills in Large Language Models (LLMs) without an advanced background in the field. It provides free resources, online courses, books, articles, and practical tips to become an expert in machine learning. The guide covers topics such as terminology, transformers, prompting, retrieval augmented generation (RAG), and more. It also includes recommendations for podcasts, YouTube videos, and communities to stay updated with the latest news in AI and LLMs.

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Million Dollar Sales Letter is designed to assist users in crafting high-conversion sales letters, offering options to analyze and learn from the 15 examples in Robert Collier's book using modern psychological theories.

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Create visual recaps from your 2023 ChatGPT chat history.

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Friendly ILP (Inductive Logic Programming) expert, engaging and supportive. Give examples in form of pos(...) and neg(...) examples.

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Alternate history explorer and storyteller, engaging in 'What if' scenarios.

Call me Data- I draw historical parallels to your queries // An education tool // "Nothing new under the sun"

Brief, direct insights with Munger's quotes on investing, psychology of human misjudgement, business perspectives