Best AI tools for< Suggest Supplements >

Suggest AI is a website created by @KShivendu, offering a tool that provides AI-based suggestions. The tool is designed to assist users when they are stuck and need recommendations or ideas. Users can check out a demo video to see how the tool works.

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 an AI contract drafting and review tool designed to help legal professionals draft and review contracts efficiently. It uses AI technology to suggest terms, generate redlines, draft new clauses, detect aggressive terms, and provide negotiation suggestions. Spellbook is trusted by over 2,500 law firms and in-house legal teams, offering a comprehensive solution for legal document creation and review.

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.

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.

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.

OpenFuture is the world's largest AI Tools Directory in 2024, offering a comprehensive collection of AI applications across various categories such as 3D generator, aggregators, AI detection, art generator, audio editing, and more. Users can explore a wide range of AI-powered tools to enhance productivity, streamline tasks, and improve efficiency in different domains. The platform serves as a valuable resource for individuals and businesses looking to leverage artificial intelligence technology for various purposes.

Podcast.ai is an innovative podcast platform that leverages artificial intelligence to generate podcast episodes. The platform allows listeners to explore a variety of topics in depth and even suggest topics, guests, and hosts for future episodes. Whether you are interested in machine learning, unique perspectives on familiar topics, or reviving voices from the past, podcast.ai offers a fresh and engaging listening experience. The episodes are powered by AI technology, providing a unique and dynamic podcasting experience for users.

Naro is an AI-powered sales knowledge platform that helps marketers identify trends and content gaps by analyzing sales conversations. It proactively suggests the right content to sellers, increases content utilization, and integrates conversations and content seamlessly. Naro also connects with existing tools to provide data-driven sales insights and improve content discoverability. With Naro, users can improve content efficacy, discover gaps and trends in sales interactions, automatically answer sales questions, and track content utilization by account and prospect.

WhatGPT is an AI assistant that integrates with WhatsApp, providing quick and concise answers to questions, suggesting quick replies, generating web links for further research, and offering 24/7 support. It is free to use, with a paid subscription option for additional features.

Your Perfect Presents is an AI-powered gift ideas generator that helps users find unique and personalized gift suggestions for any occasion. By leveraging advanced algorithms and machine learning technology, the tool analyzes user preferences and recipient characteristics to provide tailored gift recommendations. With a user-friendly interface, users can easily navigate through a wide range of gift options, making the process of gift-giving hassle-free and enjoyable. Whether you're looking for a birthday present, anniversary gift, or holiday surprise, Your Perfect Presents is your go-to solution for thoughtful and creative gift ideas.

Medcol.io is a clinical AI assistant designed to support healthcare professionals in making informed decisions by providing evidence-based recommendations and insights. The platform leverages advanced algorithms and medical data analysis to assist in diagnosing diseases, suggesting treatment plans, and predicting patient outcomes. With a user-friendly interface and real-time updates, Medcol.io aims to streamline the clinical decision-making process and improve patient care.

Hatchet is an AI companion designed to assist on-call engineers in incident response by providing intelligent insights and suggestions based on logs, communications channels, and code analysis. It helps save time and money by automating the triaging and investigation process during critical incidents. The tool is built by engineers with a focus on data security, offering self-hosted deployments, permissions, audit trails, SSO, and version control. Hatchet aims to streamline incident resolution for tier-1 services, enabling faster response and potential problem resolution.

Summer AI is an AI tool designed to help bloggers and website owners enhance their content by providing short summaries, context, and relevant product suggestions. It offers features such as creating summaries, suggesting products, providing detailed statistics on user behavior, and improving reading time speed. With Summer AI, users can easily connect with their audience, generate more leads, and improve the overall user experience on their websites.

Encounter AI is an automated ordering assistant designed specifically for restaurants and retail establishments. It aims to increase staff capacity and productivity by providing a robust voice solution to enhance the drive-thru experience. The AI technology enables operators to optimize existing resources, such as human capital or technology assets, to improve profitability. Encounter AI is 'kaizen' in nature, continuously learning through machine learning to stay updated on menu items and ordering preferences, ultimately enhancing the customer experience.

VibeTrack is an AI-powered scheduling tool designed for location-flexible professionals and hobbyists who prefer in-person meetings. It offers features such as creating multiple meeting types, suggesting nearby locations, managing travel dates, collecting guest information, and integrating with Google Calendar. The tool focuses on facilitating in-person meetings while also supporting audio and video calls, with upcoming features including payment acceptance, additional calendar integrations, and a database of suitable meeting locations.

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.

This repository contains the code for coding, pretraining, and finetuning a GPT-like LLM and is the official code repository for the book Build a Large Language Model (From Scratch). In _Build a Large Language Model (From Scratch)_, you'll discover how LLMs work from the inside out. In this book, I'll guide you step by step through creating your own LLM, explaining each stage with clear text, diagrams, and examples. The method described in this book for training and developing your own small-but-functional model for educational purposes mirrors the approach used in creating large-scale foundational models such as those behind ChatGPT.

Evals provide a framework for evaluating large language models (LLMs) or systems built using LLMs. We offer an existing registry of evals to test different dimensions of OpenAI models and the ability to write your own custom evals for use cases you care about. You can also use your data to build private evals which represent the common LLMs patterns in your workflow without exposing any of that data publicly.

FeedGen is an open-source tool that uses Google Cloud's state-of-the-art Large Language Models (LLMs) to improve product titles, generate more comprehensive descriptions, and fill missing attributes in product feeds. It helps merchants and advertisers surface and fix quality issues in their feeds using Generative AI in a simple and configurable way. The tool relies on GCP's Vertex AI API to provide both zero-shot and few-shot inference capabilities on GCP's foundational LLMs. With few-shot prompting, users can customize the model's responses towards their own data, achieving higher quality and more consistent output. FeedGen is an Apps Script based application that runs as an HTML sidebar in Google Sheets, allowing users to optimize their feeds with ease.

ChatGPT Queue Prompts is a collection of prompt chains designed to enhance interactions with large language models like ChatGPT. These prompt chains help build context for the AI before performing specific tasks, improving performance. Users can copy and paste prompt chains into the ChatGPT Queue extension to process prompts in sequence. The repository includes example prompt chains for tasks like conducting AI company research, building SEO optimized blog posts, creating courses, revising resumes, enriching leads for CRM, personal finance document creation, workout and nutrition plans, marketing plans, and more.

The 'Awesome LLMs Planning Reasoning' repository is a curated collection focusing on exploring the capabilities of Large Language Models (LLMs) in planning and reasoning tasks. It includes research papers, code repositories, and benchmarks that delve into innovative techniques, reasoning limitations, and standardized evaluations related to LLMs' performance in complex cognitive tasks. The repository serves as a comprehensive resource for researchers, developers, and enthusiasts interested in understanding the advancements and challenges in leveraging LLMs for planning and reasoning in real-world scenarios.

Examor is a website application that allows you to take exams based on your knowledge notes. It helps you to remember what you have learned and written. The application generates a set of questions from the documents you upload, and you can answer them to test your knowledge. Examor also uses GPT to score and validate your answers, and provides you with feedback. The application is still in its early stages of development, but it has the potential to be a valuable tool for learners.

fish-ai is a tool that adds AI functionality to Fish shell. It can be integrated with various AI providers like OpenAI, Azure OpenAI, Google, Hugging Face, Mistral, or a self-hosted LLM. Users can transform comments into commands, autocomplete commands, and suggest fixes. The tool allows customization through configuration files and supports switching between contexts. Data privacy is maintained by redacting sensitive information before submission to the AI models. Development features include debug logging, testing, and creating releases.

AIA Podcast's AI Tools Catalog is a collection of AI-powered tools mentioned in the podcast. These tools can be beneficial for programming, content creation, and enhancing productivity. To contribute, users can add services by providing a brief description in the Telegram chat or suggest improvements by forking the repository and submitting a PR. Users can also report closed or inoperative tools through the creation of an Issue. The catalog is a valuable resource for discovering innovative AI tools and services.

Magic CLI is a command line utility that leverages Large Language Models (LLMs) to enhance command line efficiency. It is inspired by projects like Amazon Q and GitHub Copilot for CLI. The tool allows users to suggest commands, search across command history, and generate commands for specific tasks using local or remote LLM providers. Magic CLI also provides configuration options for LLM selection and response generation. The project is still in early development, so users should expect breaking changes and bugs.

Bugbug is a tool developed by Mozilla that leverages machine learning techniques to assist with bug and quality management, as well as other software engineering tasks like test selection and defect prediction. It provides various classifiers to suggest assignees, detect patches likely to be backed-out, classify bugs, assign product/components, distinguish between bugs and feature requests, detect bugs needing documentation, identify invalid issues, verify bugs needing QA, detect regressions, select relevant tests, track bugs, and more. Bugbug can be trained and tested using Python scripts, and it offers the ability to run model training tasks on Taskcluster. The project structure includes modules for data mining, bug/commit feature extraction, model implementations, NLP utilities, label handling, bug history playback, and GitHub issue retrieval.

ChatDBG is an AI-based debugging assistant for C/C++/Python/Rust code that integrates large language models into a standard debugger (`pdb`, `lldb`, `gdb`, and `windbg`) to help debug your code. With ChatDBG, you can engage in a dialog with your debugger, asking open-ended questions about your program, like `why is x null?`. ChatDBG will _take the wheel_ and steer the debugger to answer your queries. ChatDBG can provide error diagnoses and suggest fixes. As far as we are aware, ChatDBG is the _first_ debugger to automatically perform root cause analysis and to provide suggested fixes.

This repository is a curated list of open-source, actively maintained web applications that leverage large language models (LLMs) for various use cases, including chatbots, natural language interfaces, assistants, and question answering systems. The projects are evaluated based on key criteria such as licensing, maintenance status, complexity, and features, to help users select the most suitable starting point for their LLM-based applications. The repository welcomes contributions and encourages users to submit projects that meet the criteria or suggest improvements to the existing list.

GPT Academic is a powerful tool that leverages the capabilities of large language models (LLMs) to enhance academic research and writing. It provides a user-friendly interface that allows researchers, students, and professionals to interact with LLMs and utilize their abilities for various academic tasks. With GPT Academic, users can access a wide range of features and functionalities, including: * **Summarization and Paraphrasing:** GPT Academic can summarize complex texts, articles, and research papers into concise and informative summaries. It can also paraphrase text to improve clarity and readability. * **Question Answering:** Users can ask GPT Academic questions related to their research or studies, and the tool will provide comprehensive and well-informed answers based on its knowledge and understanding of the relevant literature. * **Code Generation and Explanation:** GPT Academic can generate code snippets and provide explanations for complex coding concepts. It can also help debug code and suggest improvements. * **Translation:** GPT Academic supports translation of text between multiple languages, making it a valuable tool for researchers working with international collaborations or accessing resources in different languages. * **Citation and Reference Management:** GPT Academic can help users manage their citations and references by automatically generating citations in various formats and providing suggestions for relevant references based on the user's research topic. * **Collaboration and Note-Taking:** GPT Academic allows users to collaborate on projects and take notes within the tool. They can share their work with others and access a shared workspace for real-time collaboration. * **Customizable Interface:** GPT Academic offers a customizable interface that allows users to tailor the tool to their specific needs and preferences. They can choose from a variety of themes, adjust the layout, and add or remove features to create a personalized workspace. Overall, GPT Academic is a versatile and powerful tool that can significantly enhance the productivity and efficiency of academic research and writing. It empowers users to leverage the capabilities of LLMs and unlock new possibilities for academic exploration and knowledge creation.

ByePassHub is a collection of links to proxies, games, exploits, bypasses, AI, movies, and apps. It is updated weekly, if not daily, and contains over 700 unblockers, 300 games, 80 exploits, 15 Kahoot cheats, and more. Users can also make their own unblocker links and suggest new links or report broken ones. The repository is licensed under the MIT license.

The 'awesome-local-llms' repository is a curated list of open-source tools for local Large Language Model (LLM) inference, covering both proprietary and open weights LLMs. The repository categorizes these tools into LLM inference backend engines, LLM front end UIs, and all-in-one desktop applications. It collects GitHub repository metrics as proxies for popularity and active maintenance. Contributions are encouraged, and users can suggest additional open-source repositories through the Issues section or by running a provided script to update the README and make a pull request. The repository aims to provide a comprehensive resource for exploring and utilizing local LLM tools.

MaterialSearch is a tool for searching local images and videos using natural language. It provides functionalities such as text search for images, image search for images, text search for videos (providing matching video clips), image search for videos (searching for the segment in a video through a screenshot), image-text similarity calculation, and Pexels video search. The tool can be deployed through the source code or Docker image, and it supports GPU acceleration. Users can configure the tool through environment variables or a .env file. The tool is still under development, and configurations may change frequently. Users can report issues or suggest improvements through issues or pull requests.

Your assistant bodybuilding coach that caters meal plans to all your personal preferences and fitness goals.

Plant-based menu expert, no fast food or supplements.

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.

Analyzes menu photos to suggest items based on user preferences.

Analyzes fishing data to suggest plans based on trends.