Best AI tools for< Find Topic >

AIPodNav is an AI-powered tool designed to enhance your podcast listening experience by providing features such as mind maps, summaries, takeaways, keywords, chapters, and transcriptions. It accelerates knowledge acquisition by 10 times faster than traditional podcast listening methods. AIPodNav aims to revolutionize how users engage with podcasts by offering innovative AI-driven functionalities.

Bitscale is an AI tool designed to help growth teams build scalable AI workflows. It empowers growth teams to research prospects, personalize reachouts, and generate A+ content. The tool allows users to research prospects at scale in an intuitive spreadsheet UI, enrich data from 20+ sources, and build outreach campaigns in an Excel-like interface. With features like sales booster, personalized outreach, and utilizing powerful enrichment from Google News and landing pages, Bitscale aims to enhance lead profiles and provide unmatched speed and scalability for marketing challenges. Trusted by fast-growing companies worldwide, Bitscale offers marketing magic by finding topics, generating SEO-optimized content, and helping users rank on Google quickly.

TubeMagic is a suite of AI-powered tools designed to help you grow your YouTube channel. With TubeMagic, you can easily find the right topics for your videos, write engaging scripts, and optimize your videos for maximum reach and engagement. TubeMagic is used by over 12,000 YouTubers, including some of the biggest names on the platform. It's the perfect tool for anyone who wants to take their YouTube channel to the next level.

Topic Mojo is a topic research tool that helps you find the most relevant and engaging topics for your content. It fetches data from all over the web to help you create content that will resonate with your audience. With Topic Mojo, you can easily find questions that people are asking about your topic, track the latest trends, and get insights into what people are talking about online. This information can help you create content that is both informative and engaging, which will help you attract more traffic to your website or blog.

Open Knowledge Maps is the world's largest AI-based search engine for scientific knowledge. It aims to revolutionize discovery by increasing the visibility of research findings for science and society. The platform is open and nonprofit, based on the principles of open science, with a mission to create an inclusive, sustainable, and equitable infrastructure for all users. Users can map research topics with AI, find documents, and identify concepts to enhance their literature search experience.

Nichely is an AI-powered SEO tool that helps users dominate their niche by utilizing cutting-edge AI technology to navigate and correlate millions of topics in various niches. It assists in building detailed topical maps, constructing comprehensive topic clusters, and discovering untapped content opportunities. With features like topic discovery, topic research, and keyword research, Nichely empowers users to find relevant long-tail keywords, analyze SERPs, and enhance their topical authority. The tool is suitable for content/niche website owners, entrepreneurs, bloggers, and individuals looking to improve their SEO strategies and content creation.

Lexology is a next-generation search tool designed to help users find the right lawyer for their needs. It offers a wide range of resources, including practical analysis, in-depth research tools, primary sources, and expert reports. The platform aims to be a go-to resource for legal professionals and individuals seeking legal expertise.

GPTfy is a website that helps users find the best GPTs (Generative Pre-trained Transformers) for their needs. GPTs are AI-powered language models that can be used for a variety of tasks, such as writing, translating, and coding. GPTfy provides a directory of GPTs, as well as reviews and comparisons to help users choose the right GPT for their project.

Buzzabout is an AI audience research tool that provides insights from thousands of discussions on Reddit in seconds. It helps users save time by extracting key opinions and meanings quickly, allowing them to understand their audience without leaving Slack. The tool enables users to chat with their audience, interview hundreds of customers simultaneously, and receive instant replies by AI persona. Buzzabout offers various pricing plans with features like sentiment analysis, trend analysis, and shareable reports to support decision-making and improve products and marketing strategies.

OSO is an AI-powered tool suite that offers a range of capabilities to enhance productivity and streamline tasks. It includes an AI search engine that provides comprehensive summaries of search queries, an uncensored AI chat that allows for unrestricted discussions and content generation, and an AI image generation tool that enables the creation of visuals for various purposes. OSO integrates with over 7,000 applications and offers a range of features such as workflow automation, web summaries, and sentiment analysis.

This website provides a collection of prompts for the Stable Diffusion AI image generation model. Users can search for prompts by model, text, and tags. The website also includes articles and news about Stable Diffusion and other AI-related topics.

The Microsoft Tech Community is an online forum where users can connect with experts and peers to find answers, ask questions, build skills, and accelerate their digital transformation with the Microsoft Cloud. It offers a variety of resources, including discussions, blogs, events, and learning materials, on a wide range of topics related to Microsoft products and technologies.

Keywrds.ai is an AI-powered SEO tool that helps users find keywords their competition can only dream of. By utilizing their AI engine, users can deep dive into any niche and uncover the keywords that their target audience is searching for. The tool also allows users to automate answering Google 'People Also Ask' questions, generate unique and relevant questions and topics for articles, and create blog post outlines. Keywrds.ai aims to make keyword research easy and help users stand out in search engine results by providing highly relevant and useful content.

EduHunt is an AI-powered search engine that helps users find quality educational content on YouTube. It allows users to search for specific topics and filters the results to show only the most relevant and high-quality videos. EduHunt also offers a variety of features to help users customize their search results, such as the ability to filter by language, duration, and difficulty level.

LyricStudio is a web-based application that helps you write song lyrics. It uses artificial intelligence to generate lyrics based on your input. You can use LyricStudio to write lyrics for any genre of music, and it can help you with everything from brainstorming ideas to finding the perfect rhyme.

GoatStack is an AI-powered newsletter agent that delivers personalized insights from scientific papers. It reads over 4000 papers daily and handpicks the most relevant ones for you. With GoatStack, you can stay up-to-date on the latest AI breakthroughs and advancements. It offers a range of features to help you customize your newsletter, including the ability to personalize topics, generalize topics, or be specific with content.

AItoGrow is a website that provides information about how to use AI to grow your startup. The website includes articles, tools, and resources on a variety of topics, including marketing, sales, product development, and fundraising. AItoGrow is a valuable resource for any startup looking to leverage AI to achieve success.

CrowdPrisma is an AI-powered survey analysis tool that revolutionizes the way insights are extracted from free-text responses. It utilizes a cutting-edge TextEngine to automatically group responses into coherent themes and topics, providing users with quantitative insights in minutes. The platform offers an interactive dashboard for in-depth data exploration, multilingual support, and fair billing practices. CrowdPrisma is ideal for market research, customer experience analysis, human resources investigations, policy research, and more.

MiniPerplx is a minimalistic AI-powered search engine designed to help users find information on the internet efficiently. With its intuitive interface, users can quickly search for a wide range of topics, from weather updates to sports events and even solve simple queries like counting the occurrences of specific letters in a word or understanding literary references. MiniPerplx aims to streamline the search process and provide users with accurate and relevant results in a fast and user-friendly manner.

This website provides a tool to generate professional resignation letters, including templates, examples, and samples. It also offers guidance on writing a formal and respectable letter of resignation with clear notice, expressing gratitude, offering support for the transition, and closing formally. Additionally, it provides tips on what to include and what not to include in a resignation letter, as well as a collection of resignation letter templates for various scenarios. The website also includes a section on frequently asked questions about resignation letters, covering topics such as whether a reason for resignation is compulsory, whether a resignation letter needs to be signed, who to send it to, whether it's acceptable to resign by email, the best day to resign, the appropriate notice period, and valid reasons for immediate resignation.

A drill of scientific methods, processes, algorithms, and systems to build stories & models. An in-depth learning resource for humans. This repository is designed for individuals aiming to excel in the field of Data and AI, providing video sessions and text content for learning. It caters to those in leadership positions, professionals, and students, emphasizing the need for dedicated effort to achieve excellence in the tech field. The content covers various topics with a focus on practical application.

Awesome-Lists is a curated list of awesome lists across various domains of computer science and beyond, including programming languages, web development, data science, and more. It provides a comprehensive index of articles, books, courses, open source projects, and other resources. The lists are organized by topic and subtopic, making it easy to find the information you need. Awesome-Lists is a valuable resource for anyone looking to learn more about a particular topic or to stay up-to-date on the latest developments in the field.

DeepSeek is a new experimental architecture for a large language model (LLM) powered internet-scale retrieval engine. Unlike current research agents designed as answer engines, DeepSeek aims to process a vast amount of sources to collect a comprehensive list of entities and enrich them with additional relevant data. The end result is a table with retrieved entities and enriched columns, providing a comprehensive overview of the topic. DeepSeek utilizes both standard keyword search and neural search to find relevant content, and employs an LLM to extract specific entities and their associated contents. It also includes a smaller answer agent to enrich the retrieved data, ensuring thoroughness. DeepSeek has the potential to revolutionize research and information gathering by providing a comprehensive and structured way to access information from the vastness of the internet.

This repository is a collection of various open source AI projects and topics, each focusing on specific areas such as language models, security, and deepfake technology. It includes projects like privateGPT for building a private version of the GPT language model, AutoGPT for automating training GPT models, and DeepFaceLab for deepfake creation. Explore these repositories to find projects that interest you.

This course has 18 lessons. Each lesson covers its own topic so start wherever you like! Lessons are labeled either "Learn" lessons explaining a Generative AI concept or "Build" lessons that explain a concept and code examples in both **Python** and **TypeScript** when possible. Each lesson also includes a "Keep Learning" section with additional learning tools. **What You Need** * Access to the Azure OpenAI Service **OR** OpenAI API - _Only required to complete coding lessons_ * Basic knowledge of Python or Typescript is helpful - *For absolute beginners check out these Python and TypeScript courses. * A Github account to fork this entire repo to your own GitHub account We have created a **Course Setup** lesson to help you with setting up your development environment. Don't forget to star (🌟) this repo to find it easier later. ## 🧠 Ready to Deploy? If you are looking for more advanced code samples, check out our collection of Generative AI Code Samples in both **Python** and **TypeScript**. ## 🗣️ Meet Other Learners, Get Support Join our official AI Discord server to meet and network with other learners taking this course and get support. ## 🚀 Building a Startup? Sign up for Microsoft for Startups Founders Hub to receive **free OpenAI credits** and up to **$150k towards Azure credits to access OpenAI models through Azure OpenAI Services**. ## 🙏 Want to help? Do you have suggestions or found spelling or code errors? Raise an issue or Create a pull request ## 📂 Each lesson includes: * A short video introduction to the topic * A written lesson located in the README * Python and TypeScript code samples supporting Azure OpenAI and OpenAI API * Links to extra resources to continue your learning ## 🗃️ Lessons | | Lesson Link | Description | Additional Learning | | :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ | | 00 | Course Setup | **Learn:** How to Setup Your Development Environment | Learn More | | 01 | Introduction to Generative AI and LLMs | **Learn:** Understanding what Generative AI is and how Large Language Models (LLMs) work. | Learn More | | 02 | Exploring and comparing different LLMs | **Learn:** How to select the right model for your use case | Learn More | | 03 | Using Generative AI Responsibly | **Learn:** How to build Generative AI Applications responsibly | Learn More | | 04 | Understanding Prompt Engineering Fundamentals | **Learn:** Hands-on Prompt Engineering Best Practices | Learn More | | 05 | Creating Advanced Prompts | **Learn:** How to apply prompt engineering techniques that improve the outcome of your prompts. | Learn More | | 06 | Building Text Generation Applications | **Build:** A text generation app using Azure OpenAI | Learn More | | 07 | Building Chat Applications | **Build:** Techniques for efficiently building and integrating chat applications. | Learn More | | 08 | Building Search Apps Vector Databases | **Build:** A search application that uses Embeddings to search for data. | Learn More | | 09 | Building Image Generation Applications | **Build:** A image generation application | Learn More | | 10 | Building Low Code AI Applications | **Build:** A Generative AI application using Low Code tools | Learn More | | 11 | Integrating External Applications with Function Calling | **Build:** What is function calling and its use cases for applications | Learn More | | 12 | Designing UX for AI Applications | **Learn:** How to apply UX design principles when developing Generative AI Applications | Learn More | | 13 | Securing Your Generative AI Applications | **Learn:** The threats and risks to AI systems and methods to secure these systems. | Learn More | | 14 | The Generative AI Application Lifecycle | **Learn:** The tools and metrics to manage the LLM Lifecycle and LLMOps | Learn More | | 15 | Retrieval Augmented Generation (RAG) and Vector Databases | **Build:** An application using a RAG Framework to retrieve embeddings from a Vector Databases | Learn More | | 16 | Open Source Models and Hugging Face | **Build:** An application using open source models available on Hugging Face | Learn More | | 17 | AI Agents | **Build:** An application using an AI Agent Framework | Learn More | | 18 | Fine-Tuning LLMs | **Learn:** The what, why and how of fine-tuning LLMs | Learn More |

The oneAPI-samples repository contains a collection of samples for the Intel oneAPI Toolkits. These samples cover various topics such as AI and analytics, end-to-end workloads, features and functionality, getting started samples, Jupyter notebooks, direct programming, C++, Fortran, libraries, publications, rendering toolkit, and tools. Users can find samples based on expertise, programming language, and target device. The repository structure is organized by high-level categories, and platform validation includes Ubuntu 22.04, Windows 11, and macOS. The repository provides instructions for getting samples, including cloning the repository or downloading specific tagged versions. Users can also use integrated development environments (IDEs) like Visual Studio Code. The code samples are licensed under the MIT license.

Generative AI Indepth Basic to Advance is a repository focused on providing tutorials and resources related to generative artificial intelligence. The repository covers a wide range of topics from basic concepts to advanced techniques in the field of generative AI. Users can find detailed explanations, code examples, and practical demonstrations to help them understand and implement generative AI algorithms. The goal of this repository is to help beginners get started with generative AI and to provide valuable insights for more experienced practitioners.

This repository is a compilation of excellent ML and DL tutorials created by various individuals and organizations. It covers a wide range of topics, including machine learning fundamentals, deep learning, computer vision, natural language processing, reinforcement learning, and more. The resources are organized into categories, making it easy to find the information you need. Whether you're a beginner or an experienced practitioner, you're sure to find something valuable in this repository.

The cgft-llm repository is a collection of video tutorials and documentation for implementing large models. It provides guidance on topics such as fine-tuning llama3 with llama-factory, lightweight deployment and quantization using llama.cpp, speech generation with ChatTTS, introduction to Ollama for large model deployment, deployment tools for vllm and paged attention, and implementing RAG with llama-index. Users can find detailed code documentation and video tutorials for each project in the repository.

This repository serves as a platform for coordinating ecosystem-wide work related to free-threading topics in Python. It aims to track, understand, and provide documentation for common issues across multiple libraries. Specific project-related issues should be reported in the respective project's issue tracker. For detailed documentation on free-threading topics, visit py-free-threading.github.io.

The 'llms-tools' repository is a comprehensive collection of AI tools, open-source projects, and research related to Large Language Models (LLMs) and Chatbots. It covers a wide range of topics such as AI in various domains, open-source models, chats & assistants, visual language models, evaluation tools, libraries, devices, income models, text-to-image, computer vision, audio & speech, code & math, games, robotics, typography, bio & med, military, climate, finance, and presentation. The repository provides valuable resources for researchers, developers, and enthusiasts interested in exploring the capabilities of LLMs and related technologies.

This repository contains a collection of interview questions related to various topics such as statistics, machine learning, deep learning, Python, networking, operating systems, data structures, and algorithms. The questions cover a wide range of concepts and are suitable for individuals preparing for technical interviews in the field of artificial intelligence and data science.

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.

Build-your-own-AI-Assistant-Solution-Accelerator is a pre-release and preview solution that helps users create their own AI assistants. It leverages Azure Open AI Service, Azure AI Search, and Microsoft Fabric to identify, summarize, and categorize unstructured information. Users can easily find relevant articles and grants, generate grant applications, and export them as PDF or Word documents. The solution accelerator provides reusable architecture and code snippets for building AI assistants with enterprise data. It is designed for researchers looking to explore flu vaccine studies and grants to accelerate grant proposal submissions.

This repository tracks the latest research on machine unlearning in large language models (LLMs). It offers a comprehensive list of papers, datasets, and resources relevant to the topic.

This repository provides a comprehensive guide to Natural Language Processing (NLP), covering topics from Tokenization to Transformer Architecture. It aims to equip users with a solid understanding of NLP concepts, evolution, and core intuition. The repository includes practical examples and hands-on experience to facilitate learning and exploration in the field of NLP.

WritingAIPaper is a comprehensive guide for beginners on crafting AI conference papers. It covers topics like paper structure, core ideas, framework construction, result analysis, and introduction writing. The guide aims to help novices navigate the complexities of academic writing and contribute to the field with clarity and confidence. It also provides tips on readability improvement, logical strength, defensibility, confusion time reduction, and information density increase. The appendix includes sections on AI paper production, a checklist for final hours, common negative review comments, and advice on dealing with paper rejection.

Hands-On Large Language Models is a repository containing code examples from the book 'The Illustrated LLM Book' by Jay Alammar and Maarten Grootendorst. The repository provides practical tools and concepts for using Large Language Models with over 250 custom-made figures. It covers topics such as language model introduction, tokens and embeddings, transformer LLMs, text classification, text clustering, prompt engineering, text generation techniques, semantic search, multimodal LLMs, text embedding models, fine-tuning representation models, and fine-tuning generation models. The examples are designed to be run on Google Colab with T4 GPU support, but can be adapted to other cloud platforms as well.

This repository focuses on exploring tools that enhance the performance of language models for various tasks. It provides a structured list of literature relevant to tool-augmented language models, covering topics such as tool basics, tool use paradigm, scenarios, advanced methods, and evaluation. The repository includes papers, preprints, and books that discuss the use of tools in conjunction with language models for tasks like reasoning, question answering, mathematical calculations, accessing knowledge, interacting with the world, and handling non-textual modalities.

This repository contains a comprehensive collection of 63 must-know Large Language Models (LLMs) interview questions. It covers topics such as the architecture of LLMs, transformer models, attention mechanisms, training processes, encoder-decoder frameworks, differences between LLMs and traditional statistical language models, handling context and long-term dependencies, transformers for parallelization, applications of LLMs, sentiment analysis, language translation, conversation AI, chatbots, and more. The readme provides detailed explanations, code examples, and insights into utilizing LLMs for various tasks.

'TED Talk Presentation Topics' is a prompt expert in discovering and developing captivating TED Talk presentation topics, tailored to the user's experience, interest, and goals, ensuring relevance, diversity, and inspiration.

Make talking with girls easier

Expert on tech columns, providing detailed and accurate information.

Suggests concepts for viral videos, including trending topics, creative angles, and collaboration opportunities.

Looking for the perfect Medium.com humanized stylish article made just for you? This GPT uses numerous APIs to find what's trending, what medium articles are currently popular, uses data to write an entire masterpiece along with images, sources, citations, video embeds, etc.

Creates LDS sacrament meeting talks from provided sources.

将范文转化为接近原文的个性化写作模板

投稿をコピペすることで感情分析、NG推奨を10段階で表示します

Analyzes manuscripts and recommends journals.

推荐课题主题、研究内容、研究方法、研究创新点、研究计划和预期成果等信息，生成符合省部级格式要求和逻辑结构的课题标书。

推荐课题主题、研究内容、研究方法、研究创新点、研究计划和预期成果等信息，生成符合省部级格式要求和逻辑结构的课题标书。

Give me a topic and the audience, and I'll search and find good anecdotes to start the topic.

Creates creative Twitter search queries about any topic or person

Professionally finds top custom GPT models for specific topics

国内のトップニュースから英作文のトピックを提案します。

I match music to video topics.

Expert in salt-related topics, from cooking uses to types.

Web search expert for news on specific topics and time ranges.

Expert in suggesting literature based on topics, with detailed insights.

Regal statistician with exhaustive data on all topics.