Best AI tools for< Suggest Topics >

Podcast.ai is an AI-powered podcast that generates episodes entirely using artificial intelligence. The podcast explores new topics weekly and allows listeners to suggest topics, guests, and hosts for future episodes. It caters to machine learning enthusiasts, individuals seeking a fresh take on favorite topics, and those interested in listening to voices from the past revived through AI technology.

AI-Sprinter is an AI application that mimics the writing style of any brand or individual, generating posts and creating custom images to match the content. It can create posts in multiple languages, enhance product photos, convert articles into posts, and suggest post topics based on current events. The tool can learn from historical posts to maintain brand consistency and engagement. AI-Sprinter offers different pricing plans tailored to different needs, from individual brands to agencies.

ReachifyMe is an AI-powered LinkedIn post generator that helps users create high-quality LinkedIn posts in under 7 minutes. The tool provides users with ready-made post ideas, viral post templates, and a content editor to help them craft posts that stand out in the crowded LinkedIn landscape. ReachifyMe also offers a content planner that allows users to save and schedule their posts, as well as track their performance.

Blogmatic is an AI-powered tool that helps you create and publish blog posts on autopilot. With Blogmatic, you can create an AI writer with specific instructions, provide keywords, and your AI writer will suggest a list of topics. You can then task your AI writer to write on those topics and publish them directly to your CMS - all automated.

Nestor is an AI-powered insurance assistant that provides clear and jargon-free answers to all your insurance questions. It can audit your insurance contracts, identify potential over-insurance or under-insurance, and suggest ways to improve your coverage. Nestor is constantly learning and can provide expert advice on a wide range of insurance topics.

ItaGPT is a service that connects ChatGPT and WhatsApp, allowing users to chat with ChatGPT and receive immediate answers to their questions directly on their phone. Users can access the service by sending a message on WhatsApp to ItaGPT, similar to contacting any other contact. ItaGPT can provide information on various topics, suggest recipes, answer math questions, and offer health advice. The service is free for 7 days with 100 free messages, after which users can subscribe to a plan. Credits are used for interactions, and more complex actions may consume multiple credits. Users can manage their credits and subscriptions directly on WhatsApp.

Magyk AI is an AI-powered marketing tool designed for businesses and retailers to enhance customer engagement. It automates key tasks such as content generation for blogs and social media, allowing marketing teams to focus on core business strategies and innovation. The tool suggests topics, writes articles, creates a content library, and even schedules posts on platforms like Facebook, LinkedIn, and more. With features like AI-powered content creation, SEO optimization, personalized suggestions, and analytics insights, Magyk AI aims to streamline marketing efforts and drive better results.

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.

InfraNodus is a text network visualization tool that helps users generate insights from any discourse by representing it as a network. It uses AI-powered algorithms to identify structural gaps in the text and suggest ways to bridge them. InfraNodus can be used for a variety of purposes, including research, creative writing, marketing, and SEO.

Chat Blackbox is an AI tool that specializes in AI code generation, code chat, and code search. It provides a platform where users can interact with AI to generate code, discuss code-related topics, and search for specific code snippets. The tool leverages artificial intelligence algorithms to enhance the coding experience and streamline the development process. With Chat Blackbox, users can access a wide range of features to improve their coding skills and efficiency.

AI Cowriter is a mini-app that acts as your cowriter for any kind of text. It suggests words and phrases to complete your text, helping you write 10x faster. Suggestions appear in grey shortly after you type and can be accepted by hitting tab or enter/return. You can specify the type of text you're writing (e.g., blog post, LinkedIn post, tweet, email, or other) and provide optional controls such as a topic or title, writing style, audience, and ideas/notes. The app is open-source and available on GitHub. If you find it useful, you can support the developer by buying them a coffee.

Suggest AI is an AI tool developed by @KShivendu. It is designed to provide AI-powered suggestions and recommendations to users. The tool aims to assist users in generating ideas, making decisions, and overcoming obstacles by leveraging artificial intelligence technology. Suggest AI offers a user-friendly interface and intuitive features to enhance the user experience.

Suggest.Gift is an AI-powered tool designed to assist users in finding the perfect gift for their loved ones. By leveraging the latest AI technology, the tool analyzes input scenarios related to events, relationships, hobbies, and preferences to provide personalized gift suggestions. Users can bid farewell to the stress of gift-giving and rely on the tool to discover ideal presents effortlessly. The platform aims to enhance the gift-giving experience by utilizing artificial intelligence to streamline the process and ensure satisfaction for both gift givers and recipients.

KanShareBan is an AI-powered platform that allows users to share their projects, receive feedback from the community, create public Kanban boards, gather suggestions, and generate tasks with AI. Users can explore boards created by others, engage with community suggestions, and collaborate with creative individuals. The platform aims to streamline project planning and task management by leveraging artificial intelligence.

v0 Report is an advanced AI Document Generator that allows users to effortlessly create, customize, and manage professional-quality documents. The tool is designed to automate the writing process, enhance workflow productivity, and elevate the quality of documents for students, researchers, and professionals. With features like AI writing research capabilities, user-friendly interface, and cost-effective writing generation, v0 Report aims to revolutionize document creation through artificial intelligence technology.

Spellbook is a comprehensive AI tool designed for commercial lawyers to review, draft, and manage legal contracts efficiently. It offers features such as redline contract review, drafting from scratch or saved libraries, quick answers to complex questions, comparing contracts to industry standards, and multi-document workflows. Spellbook is powered by OpenAI's GPT-4o and other large language models, providing accurate and reliable performance. It ensures data privacy with Zero Data Retention agreements, making it a secure and private solution for law firms and in-house legal teams worldwide.

JustConvert is an AI-powered conversion optimization tool that analyzes your website to provide actionable suggestions for improving your conversion rate, design, and copywriting. It is designed to be easy to use and affordable, even for small businesses and startups. With JustConvert, you can quickly and easily identify areas for improvement on your website and get specific recommendations on how to fix them. This can lead to a significant increase in your conversion rate, which can mean more sales, leads, or signups for your business.

VanChat is an AI shopping assistant designed to boost Shopify sales by accurately answering customer questions, understanding buyer intent, personalizing interactions, suggesting products, and ultimately increasing sales. It automates tasks like order checking and updating, offers personalized product recommendations, and proactively engages customers to drive purchases. VanChat continuously learns from store data in real-time to provide accurate responses and tailored suggestions. The platform aims to enhance user satisfaction, improve customer service, and increase revenue for online businesses.

SWMS AI is an AI-powered safety risk assessment tool that helps businesses streamline compliance and improve safety. It leverages a vast knowledge base of occupational safety resources, codes of practice, risk assessments, and safety documents to generate risk assessments tailored specifically to a project, trade, and industry. SWMS AI can be customized to a company's policies to align its AI's document generation capabilities with proprietary safety standards and requirements.

Parity is the world's first AI SRE tool designed to assist on-call engineers working with Kubernetes. It acts as the first line of defense by conducting investigations, determining root causes, and suggesting remediation before the engineer even opens their laptop. With features like Root Cause Analysis in Seconds, Intelligent Runbook Execution, and the ability to chat directly with the cluster, Parity streamlines incident response and enhances operational efficiency.

Awesome LLM Courses is a curated list of online courses focused on Large Language Models (LLMs). The repository aims to provide a comprehensive collection of free available courses covering various aspects of LLMs, including fundamentals, engineering, and applications. The courses are suitable for individuals interested in natural language processing, AI development, and machine learning. The list includes courses from reputable platforms such as Hugging Face, Udacity, DeepLearning.AI, Cohere, DataCamp, and more, offering a wide range of topics from pretraining LLMs to building AI applications with LLMs. Whether you are a beginner looking to understand the basics of LLMs or an intermediate developer interested in advanced topics like prompt engineering and generative AI, this repository has something for everyone.

The UvA Deep Learning Tutorials repository contains a series of Jupyter notebooks designed to help understand theoretical concepts from lectures by providing corresponding implementations. The notebooks cover topics such as optimization techniques, transformers, graph neural networks, and more. They aim to teach details of the PyTorch framework, including PyTorch Lightning, with alternative translations to JAX+Flax. The tutorials are integrated as official tutorials of PyTorch Lightning and are relevant for graded assignments and exams.

This repository provides a systematic and comprehensive review of efficient LLMs research. We organize the literature in a taxonomy consisting of three main categories, covering distinct yet interconnected efficient LLMs topics from **model-centric** , **data-centric** , and **framework-centric** perspective, respectively. We hope our survey and this GitHub repository can serve as valuable resources to help researchers and practitioners gain a systematic understanding of the research developments in efficient LLMs and inspire them to contribute to this important and exciting field.

This repository is a curated list of research papers that explore the integration of Large Language Model (LLM) technology with tabular data. It aims to provide a comprehensive resource for researchers and practitioners interested in this emerging field. The repository includes papers on a wide range of topics, including table-to-text generation, table question answering, and tabular data classification. It also includes a section on related datasets and resources.

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.

Jailbreak is a comprehensive guide exploring iOS 17 and its various versions, discussing the benefits, status, possibilities, and future impact of jailbreaking iOS devices. It covers topics such as preparation, safety measures, differences between tethered and untethered jailbreaks, best practices, and FAQs. The guide also provides information on specific jailbreak tools like Palera1n, Serotonin, NekoJB, Redensa, and Dopamine, along with their features and download links. Users can learn about supported devices, the latest updates, and the status of jailbreaking for different iOS versions. The tool aims to empower users to unlock new possibilities and customize their devices beyond Apple's restrictions.

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.

Gen-AI-Experiments is a structured collection of Jupyter notebooks and AI experiments designed to guide users through various AI tools, frameworks, and models. It offers valuable resources for both beginners and experienced practitioners, covering topics such as AI agents, model testing, RAG systems, real-world applications, and open-source tools. The repository includes folders with curated libraries, AI agents, experiments, LLM testing, open-source libraries, RAG experiments, and educhain experiments, each focusing on different aspects of AI development and application.

This repository provides comprehensive roadmaps for various roles in the Data Analytics, Data Science, and Artificial Intelligence industry. It aims to guide individuals, whether students or professionals, in understanding the required skills and timeline for different roles, helping them focus on learning the necessary skills to secure a job. The repository includes detailed guides for roles such as Data Analyst, Data Engineer, Data Scientist, AI Engineer, Computer Vision Engineer, Generative AI Engineer, Machine Learning Engineer, NLP Engineer, and Domain-Specific ML Topics for Researchers.

The LLM Prompt Tuning Playbook is a comprehensive guide for improving the performance of post-trained Language Models (LLMs) through effective prompting strategies. It covers topics such as pre-training vs. post-training, considerations for prompting, a rudimentary style guide for prompts, and a procedure for iterating on new system instructions. The playbook emphasizes the importance of clear, concise, and explicit instructions to guide LLMs in generating desired outputs. It also highlights the iterative nature of prompt development and the need for systematic evaluation of model responses.

This practical free hands-on course focuses on Large Language models and their applications, providing a hands-on experience using models from OpenAI and the Hugging Face library. The course is divided into three major sections: Techniques and Libraries, Projects, and Enterprise Solutions. It covers topics such as Chatbots, Code Generation, Vector databases, LangChain, Fine Tuning, PEFT Fine Tuning, Soft Prompt tuning, LoRA, QLoRA, Evaluate Models, Knowledge Distillation, and more. Each section contains chapters with lessons supported by notebooks and articles. The course aims to help users build projects and explore enterprise solutions using Large Language Models.

Awesome LLM is a curated list of resources related to Large Language Models (LLMs), including models, projects, datasets, benchmarks, materials, papers, posts, GitHub repositories, HuggingFace repositories, and reading materials. It provides detailed information on various LLMs, their parameter sizes, announcement dates, and contributors. The repository covers a wide range of LLM-related topics and serves as a valuable resource for researchers, developers, and enthusiasts interested in the field of natural language processing and artificial intelligence.

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.

This repository is dedicated to the pruning of large language models (LLMs). It aims to serve as a comprehensive resource for researchers and practitioners interested in the efficient reduction of model size while maintaining or enhancing performance. The repository contains various papers, summaries, and links related to different pruning approaches for LLMs, along with author information and publication details. It covers a wide range of topics such as structured pruning, unstructured pruning, semi-structured pruning, and benchmarking methods. Researchers and practitioners can explore different pruning techniques, understand their implications, and access relevant resources for further study and implementation.

Generative AI for Beginners .NET is a hands-on course designed for .NET developers to learn how to build Generative AI applications. The repository focuses on real-world applications and live coding, providing fully functional code samples and integration with tools like GitHub Codespaces and GitHub Models. Lessons cover topics such as generative models, text generation, multimodal capabilities, and responsible use of Generative AI in .NET apps. The course aims to simplify the journey of implementing Generative AI into .NET projects, offering practical guidance and references for deeper theoretical understanding.

STORM is a LLM system that writes Wikipedia-like articles from scratch based on Internet search. While the system cannot produce publication-ready articles that often require a significant number of edits, experienced Wikipedia editors have found it helpful in their pre-writing stage. **Try out our [live research preview](https://storm.genie.stanford.edu/) to see how STORM can help your knowledge exploration journey and please provide feedback to help us improve the system 🙏!**

AI-resources is a repository containing links to various resources for learning Artificial Intelligence. It includes video lectures, courses, tutorials, and open-source libraries related to deep learning, reinforcement learning, machine learning, and more. The repository categorizes resources for beginners, average users, and advanced users/researchers, providing a comprehensive collection of materials to enhance knowledge and skills in AI.

The LLM Evaluation guidebook provides comprehensive guidance on evaluating language model performance, including different evaluation methods, designing evaluations, and practical tips. It caters to both beginners and advanced users, offering insights on model inference, tokenization, and troubleshooting. The guide covers automatic benchmarks, human evaluation, LLM-as-a-judge scenarios, troubleshooting practicalities, and general knowledge on LLM basics. It also includes planned articles on automated benchmarks, evaluation importance, task-building considerations, and model comparison challenges. The resource is enriched with recommended links and acknowledgments to contributors and inspirations.

H2O.ai's AI Tutorials aim to democratize open source, distributed machine learning by providing step-by-step tutorials for individuals of all skill levels. These tutorials are developed and maintained on Github and published on the H2O.ai Self-Paced Courses Landing Page. Users can begin their AI journey by exploring the tutorials available on the landing page and can contribute by fixing issues, updating tutorials, or creating new ones.

原创选题市场趋势与建议

Research topic identifier for graduate students, providing detailed, academic-style problem outlines. (e.g. prompt: suggest research topics in renewable energy)

Analyzes blog posts, suggests SEO topics. Link: https://goblinintheattic.com/

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

栄養を考慮した献立を提案します。 Suggest a menu with nutritional considerations.

Suggest STEM lesson ideas and lesson plans for specified age group and subject area. User Inputs: Age Group, Subject Area

I suggest trending hashtags for social media posts based on content and platform.

I suggest data science projects and give tips on request.

I suggest content based on your likes.

I suggest creative Lightroom settings inspired by movies.

I suggest sheep sketches!

I suggest weekend leisure activities based on your interests.

I suggest stores based on your budget and shopping needs.

I suggest online business opportunities based on trends and user interests.

I suggest and discuss fun summer activities

I suggest three SF Symbols for any given word.

I suggest hairstyles based on your selfie.

I suggest titles for texts.

I'll suggest drinking games for you and your friends to get a (un)forgettable night 🍻✨

I review system designs and suggest ideal architectures.