Best AI tools for< Supplement Researcher >

Socratic is an AI-powered learning tool that provides students with personalized support in various subjects, including Science, Math, Literature, and Social Studies. It utilizes text and speech recognition to surface relevant learning resources and offers visual explanations of important concepts. Socratic is highly regarded by both teachers and students for its ability to clarify complex topics and supplement classroom learning.

Docus is an AI-powered health platform that serves as a Personal Health Assistant, offering proactive care, detailed health insights, and expert medical advice. Users can access features like AI Doctor consultations, lab test interpretations, tailored supplements, and symptom checking. The platform prioritizes data security and compliance with HIPAA and GDPR standards, ensuring confidentiality. Docus aims to empower individuals to make informed health decisions and manage their well-being effectively.

Pillser is an AI-powered supplement research and comparison website that helps users make informed decisions about their health. It offers a wide range of information on various supplements, brands, probiotics, vitamins, and minerals. Users can ask AI questions related to vitamin D, beta carotene, cholesterol levels, and more. Pillser also provides an archive of past questions and ensures the best price guarantee. The website includes a medical disclaimer, affiliate disclosure, terms of service, privacy policy, and accessibility features.

Sequel is an AI-powered longevity assistant that provides personalized health insights by integrating various health data sources. It offers therapy suggestions, supplement advice, and more based on individual health profiles. Sequel prioritizes data privacy by processing data locally on the user's device or utilizing OpenAI models without compromising privacy.

AI Health Mind was an AI-powered healthcare chatbot that provided general medical information and answered questions from users. It was designed to supplement, not replace, the existing relationship between a patient and their physician.

SteelBrro is a virtual gym companion and bodybuilding guru, designed to help you navigate the world of muscle-building with professional expertise and bro-style camaraderie. With a detailed knowledge base derived from a plethora of reputable bodybuilding and dietary supplement websites, SteelBrro combines serious fitness guidance with a lighthearted, fun-loving demeanor that makes discussing gym routines and dietary supplements engaging and entertaining.

SpoiledChild is a skincare and haircare brand that uses AI to personalize product recommendations for its customers. The company's products are designed to help people look and feel younger, and they are made with high-quality ingredients that are free of harsh chemicals. SpoiledChild offers a wide range of products, including serums, moisturizers, masks, and supplements. The company also has a team of experts who can provide personalized advice on how to use their products. SpoiledChild is committed to sustainability, and they use recycled materials in their packaging and offer a refill program for their products.

Panda Video is a video hosting platform that offers a variety of AI-powered features to help businesses increase sales and improve security. These features include a mind map tool for visualizing video content, a quiz feature for creating interactive learning experiences, an AI-powered ebook feature for providing supplemental resources, automatic captioning, a search feature for quickly finding specific content within videos, and automatic dubbing for creating videos in multiple languages. Panda Video also offers a variety of other features, such as DRM protection to prevent piracy, smart autoplay to increase engagement, a customizable player appearance, Facebook Pixel integration for retargeting, and analytics to track video performance.

This repository serves as an educational resource for pharmaceutical and chemistry students to learn the basics of Deep Learning through a collection of Jupyter Notebooks. The content covers various topics such as Introduction to Jupyter, Python, Cheminformatics & RDKit, Linear Regression, Data Science, Linear Algebra, Neural Networks, PyTorch, Convolutional Neural Networks, Transfer Learning, Recurrent Neural Networks, Autoencoders, Graph Neural Networks, and Summary. The notebooks aim to provide theoretical concepts to understand neural networks through code completion, but instructors are encouraged to supplement with their own lectures. The work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

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.

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.

Scientific Large Language Models (Sci-LLMs) is a repository that collects papers on scientific large language models, focusing on biology and chemistry domains. It includes textual, molecular, protein, and genomic languages, as well as multimodal language. The repository covers various large language models for tasks such as molecule property prediction, interaction prediction, protein sequence representation, protein sequence generation/design, DNA-protein interaction prediction, and RNA prediction. It also provides datasets and benchmarks for evaluating these models. The repository aims to facilitate research and development in the field of scientific language modeling.

Awesome-Segment-Anything is a powerful tool for segmenting and extracting information from various types of data. It provides a user-friendly interface to easily define segmentation rules and apply them to text, images, and other data formats. The tool supports both supervised and unsupervised segmentation methods, allowing users to customize the segmentation process based on their specific needs. With its versatile functionality and intuitive design, Awesome-Segment-Anything is ideal for data analysts, researchers, content creators, and anyone looking to efficiently extract valuable insights from complex datasets.

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.

Redbox Copilot is a retrieval augmented generation (RAG) app that uses GenAI to chat with and summarise civil service documents. It increases organisational memory by indexing documents and can summarise reports read months ago, supplement them with current work, and produce a first draft that lets civil servants focus on what they do best. The project uses a microservice architecture with each microservice running in its own container defined by a Dockerfile. Dependencies are managed using Python Poetry. Contributions are welcome, and the project is licensed under the MIT License.

Chat with your data using OpenAI and AI Search. This solution accelerator uses an Azure OpenAI GPT model and an Azure AI Search index generated from your data, which is integrated into a web application to provide a natural language interface, including speech-to-text functionality, for search queries. Users can drag and drop files, point to storage, and take care of technical setup to transform documents. There is a web app that users can create in their own subscription with security and authentication.

This repository is a curated list of awesome large AI models in audio signal processing, focusing on the application of large language models to audio tasks. It includes survey papers, popular large audio models, automatic speech recognition, neural speech synthesis, speech translation, other speech applications, large audio models in music, and audio datasets. The repository aims to provide a comprehensive overview of recent advancements and challenges in applying large language models to audio signal processing, showcasing the efficacy of transformer-based architectures in various audio tasks.

This repository contains the code for HOLD, a method that jointly reconstructs hands and objects from monocular videos without assuming a pre-scanned object template. It can reconstruct 3D geometries of novel objects and hands, enabling template-free bimanual hand-object reconstruction, textureless object interaction with hands, and multiple objects interaction with hands. The repository provides instructions to download in-the-wild videos from HOLD, preprocess and train on custom videos, a volumetric rendering framework, a generalized codebase for single and two hand interaction with objects, a viewer to interact with predictions, and code to evaluate and compare with HOLD in HO3D. The repository also includes documentation for setup, training, evaluation, visualization, preprocessing custom sequences, and using HOLD on ARCTIC.

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.

This repository provides code samples in Python, C#, REST, and JavaScript for vector support in Azure AI Search. It includes demos for various languages showcasing vectorization of data, creating indexes, and querying vector data. Additionally, it offers tools like Azure AI Search Lab for experimenting with AI-enabled search scenarios in Azure and templates for deploying custom chat-with-your-data solutions. The repository also features documentation on vector search, hybrid search, creating and querying vector indexes, and REST API references for Azure AI Search and Azure OpenAI Service.

HuggingFists is a low-code data flow tool that enables convenient use of LLM and HuggingFace models. It provides functionalities similar to Langchain, allowing users to design, debug, and manage data processing workflows, create and schedule workflow jobs, manage resources environment, and handle various data artifact resources. The tool also offers account management for users, allowing centralized management of data source accounts and API accounts. Users can access Hugging Face models through the Inference API or locally deployed models, as well as datasets on Hugging Face. HuggingFists supports breakpoint debugging, branch selection, function calls, workflow variables, and more to assist users in developing complex data processing workflows.

Ask Astro is an open-source reference implementation of Andreessen Horowitz's LLM Application Architecture built by Astronomer. It provides an end-to-end example of a Q&A LLM application used to answer questions about Apache Airflow® and Astronomer. Ask Astro includes Airflow DAGs for data ingestion, an API for business logic, a Slack bot, a public UI, and DAGs for processing user feedback. The tool is divided into data retrieval & embedding, prompt orchestration, and feedback loops.

The Next-Generation LLM-based Recommender Systems Survey is a comprehensive overview of the latest advancements in recommender systems leveraging Large Language Models (LLMs). The survey covers various paradigms, approaches, and applications of LLMs in recommendation tasks, including generative and non-generative models, multimodal recommendations, personalized explanations, and industrial deployment. It discusses the comparison with existing surveys, different paradigms, and specific works in the field. The survey also addresses challenges and future directions in the domain of LLM-based recommender systems.

Awesome-AI-Coding is a curated list of AI coding topics, projects, datasets, LLM models, embedding models, papers, blogs, products, startups, and peer awesome lists related to artificial intelligence in coding. It includes tools for code completion, code generation, code documentation, and code search, as well as AI models and techniques for improving developer productivity. The repository also features information on various AI-powered developer tools, copilots, and related resources in the AI coding domain.

InternLM is a powerful language model series with features such as 200K context window for long-context tasks, outstanding comprehensive performance in reasoning, math, code, chat experience, instruction following, and creative writing, code interpreter & data analysis capabilities, and stronger tool utilization capabilities. It offers models in sizes of 7B and 20B, suitable for research and complex scenarios. The models are recommended for various applications and exhibit better performance than previous generations. InternLM models may match or surpass other open-source models like ChatGPT. The tool has been evaluated on various datasets and has shown superior performance in multiple tasks. It requires Python >= 3.8, PyTorch >= 1.12.0, and Transformers >= 4.34 for usage. InternLM can be used for tasks like chat, agent applications, fine-tuning, deployment, and long-context inference.

Expert in biohacking and natural supplement research, informative and precise.

Expert in age reversal supplement trends.

Analyzes supplements & food for their metabolic benefits and hallmarks of aging.

Guides on herbal and supplementary health products

Neuropsychopharmacology and nootropics expert powered by OpenAI. Not medical advice. (Beta version)

Your expert guide on health supplements.

Expert in OTC supplements with in-depth nutrient knowledge

Asks precise questions for tailored supplement plans.

Breed specific personalised dog supplement advisor. Take a picture of your dog and we will recommend you the top 5 most beneficial vitamins and supplements. These can include probiotics, joint and mobility supplements and more.

This AI is designed to assist in identifying and compiling personalized dietary supplement recommendations tailored to specific health needs and concerns.

Offers natural remedies, dietary supplements and well-being support.

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

Hi, i'am your Coach for a healthy and top performing body. Just ask me everything you want to know about fitness, food, supplements, etc.

Erhalte jederzeit die passende Antwort auf deine Fragen zu Produkten von ESN und More Nutrition.

简洁、深刻、有趣的USANA产品专家。

I turn blood reports into lively dietary advice!

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

Provides insights on multivitamins, their benefits, and dosage guidelines.

Expert en description et génération d'images. Faites simplement glisser une image originale et vous obtiendrez un double unique et libre !