Best AI tools for< Recommendation Specialist >

Animood is an AI tool that provides mood-based anime recommendations. It analyzes your mood and offers personalized anime suggestions to match your emotions. Whether you're feeling romantic, dreamy, affectionate, or any other emotion, Animood ensures you find the perfect anime to suit your mood. With features like mood-based, history-based, and anime list-based recommendations, Animood caters to all anime enthusiasts seeking tailored suggestions.

Eva AI is an innovative AI tool designed to be your virtual assistant and friend. It utilizes advanced artificial intelligence algorithms to provide personalized assistance in various aspects of your life. From scheduling appointments to recommending movies, Eva AI is here to make your daily tasks easier and more enjoyable. With its intuitive interface and natural language processing capabilities, interacting with Eva AI feels like chatting with a real friend. Whether you need help organizing your schedule or just want someone to talk to, Eva AI is always there for you.

Gift Recommender is an AI-powered application designed to assist users in finding the perfect gift for their loved ones. By providing basic information about the recipient such as name, age, gender, price range, and interests, the AI generates personalized gift recommendations. The system learns from user feedback to continuously improve its suggestions. While the AI provides recommendations, it acknowledges that the best gift is often something personal and encourages users to provide feedback for better training.

Couture.ai is an AI-as-a-service platform that specializes in hyper-scale AI for tailored retail experiences. The platform assists global online retailers and fashion brands in personalizing customer experiences through prediction technology. Couture.ai offers cutting-edge solutions such as Virtual TryOn for visualizing products before purchase, Demand & Assortment Forecasting for inventory management, Live Search for semantic search solutions, and Obelisk Experience Engine for behavior insights-driven tailored experiences across various platforms. The platform aims to elevate customer experiences and optimize business outcomes through AI-driven solutions.

EchoTalent is an AI-powered platform that helps users create ATS-optimized, tailored resumes and cover letters. By uploading their resume and job description, users can generate personalized documents in minutes. The platform uses advanced algorithms to match the job requirements, highlighting relevant keywords, skills, and experiences. EchoTalent is designed to enhance job application processes for mid to senior-level professionals, ensuring their resumes are ATS-friendly and easily readable. With a free trial available, users can explore the features before committing to a subscription.

Software Recs is a free AI tool designed to provide software recommendations tailored to your specific use case. By entering your email and describing your company's activities and challenges, the tool generates personalized recommendations to assist you in your product search. The platform aims to streamline the process of finding suitable software solutions by leveraging artificial intelligence technology.

Wiser Media is an AI-powered platform that offers customised learning solutions for businesses and individuals. It provides individualised learning paths, realtime monitoring, and an organisational knowledge base. With over 200K learners, Wiser Media offers personalised daily newsletters for employees based on their learning goals and organisational objectives, including podcasts, videos, newsletters, and books. The platform aims to optimize employee performance by streamlining knowledge management and upskilling, ultimately transforming lost time into productive growth.

ICD AI is an advanced artificial intelligence tool designed to assist healthcare professionals in accurately assigning diagnostic codes to patient records. The tool utilizes machine learning algorithms to analyze medical data and suggest appropriate ICD codes, streamlining the coding process and reducing errors. With its user-friendly interface and robust features, ICD AI is revolutionizing medical coding practices and improving efficiency in healthcare facilities.

Gamelight is a revolutionary AI platform for mobile games marketing. It utilizes advanced algorithms to analyze app usage data and users' behavior, creating detailed user profiles and delivering personalized game recommendations. The platform also includes a loyalty program that rewards users for gameplay duration, fostering retention and engagement. Gamelight's ROAS Algorithm identifies users with the highest likelihood of making a purchase on your game, providing a competitive advantage in user acquisition.

Tangent AI is an AI-powered platform designed for beauty brands to onboard and engage shoppers through dynamic routines, personalized marketing campaigns, and Beauty Insights. The platform collects valuable zero-party data through interactive quizzes, leading to increased sales and average order value. Tangent delivers emotional and engaging experiences based on shopper data, with a focus on personalization and customer support. Trusted by over 5000 beauty brands, Tangent aims to revolutionize the beauty industry through AI technology.

Shaped is an AI tool designed to provide relevant recommendations and search results to increase engagement, conversion, and revenue. It offers a configurable system that adapts in real-time, with features such as easy set-up, real-time adaptability, state-of-the-art model library, high customizability, and explainable results. Shaped is suitable for technical teams and offers white-glove support. It specializes in real-time ranking systems and supports multi-modal unstructured data understanding. The tool ensures secure infrastructure and has advantages like increased redemption rate, average order value, and diversity.

DeepLeads is an AI-powered recommendation engine designed to make business development easier and more efficient. It helps businesses discover personalized opportunities for sales, procurement, and fundraising by matching them with the best-fit leads, vendors, and investors. DeepLeads leverages AI technology to sift through vast amounts of data and provide actionable insights based on user-provided descriptions or websites. The platform is developed by leading AI professors and aims to revolutionize the way businesses identify and connect with potential partners.

Linkter is the #1 AI internal linking tool designed for SEO superstars. It automates the process of building strategic internal links, saving SEOs hundreds of hours of manual work. With advanced features like an AI recommendation system, anchor text manager, and custom AI implementation, Linkter enhances SEO rankings, indexation, and user experience. The tool revolutionizes website optimization by streamlining internal linking tasks and improving overall website visibility and performance.

Telescope is an AI-driven lead generation platform that helps businesses find potential customers quickly and efficiently. By utilizing natural language search and next-gen search and recommendation features, Telescope allows users to generate targeted lead lists in seconds. With access to a vast global data network and advanced prospect-search capabilities, Telescope streamlines the prospecting process and provides valuable insights for sales and business development teams. The platform is designed to enhance productivity and effectiveness in lead generation activities, offering a user-friendly experience for companies of all sizes.

CommentAnalyzer is a website that provides resources and information related to comment analysis. The webpage is generated by the domain owner using Sedo Domain Parking. It is important to note that Sedo, the platform used for domain parking, does not have a direct relationship with third-party advertisers. The website does not offer any AI tool or application for comment analysis. Instead, it serves as a platform for domain parking and does not imply any association, endorsement, or recommendation of specific services or trademarks.

Swipe Insight is a mobile application that provides users with daily updates on digital marketing and analytics trends, news, and strategies. The app features a personalized feed that adapts to the user's preferences, intelligent insights that distill complex topics into concise summaries, and a curated selection of content from over 100 trusted sources. Swipe Insight is designed to help users stay ahead in the industry with just minutes of reading per day.

Gift Ideas AI is a free AI-powered gift finder and idea generator that helps users discover the perfect present for every occasion. The platform utilizes advanced AI technology to provide personalized gift recommendations, unique gift ideas, and budget-friendly options through affiliate links. With a GPT assistant chatbot, users can easily find gift suggestions and amazon store links for last-minute holiday gifts. Gift Ideas AI aims to simplify the gift-giving process and bring joy to both gift givers and recipients.

PodSeeker is an AI-powered application designed to assist users in researching podcast guests efficiently. By leveraging advanced artificial intelligence algorithms, PodSeeker streamlines the process of finding suitable guests for podcasts. The platform offers a user-friendly interface that allows users to input specific criteria and preferences, generating tailored guest recommendations. With PodSeeker, users can save time and effort in identifying relevant guests, enhancing the overall podcasting experience.

Opinion Stage is an AI-powered platform that allows users to create engaging quizzes, polls, surveys, and forms to boost audience interaction, generate leads, gather feedback, conduct research, and recommend products. With hundreds of templates and AI assistance, users can easily create visually appealing and on-brand content. The platform offers powerful solutions for marketers, content creators, small businesses, enterprises, and publishers, helping them enhance their marketing strategies and improve audience engagement. Opinion Stage's conversational approach, visual engagement features, and AI capabilities make it a versatile tool for various use cases and industries.

Sommify is an AI sommelier application designed to help companies sell wine by creating memorable experiences for customers. The platform addresses common issues in the wine industry, such as customers' preferences, lack of information, and hesitation to ask questions. By leveraging AI technology and wine expertise, Sommify offers automated wine pairing, data analysis for optimization, and personalized customer recommendations. Trusted by industry leaders like Tesco, Sommify aims to enhance the wine purchasing experience and increase sales through tailored solutions.

OpenSSA is an open-source framework for creating efficient, domain-specific AI agents. It enables the development of Small Specialist Agents (SSAs) that solve complex problems in specific domains. SSAs tackle multi-step problems that require planning and reasoning beyond traditional language models. They apply OODA for deliberative reasoning (OODAR) and iterative, hierarchical task planning (HTP). This "System-2 Intelligence" breaks down complex tasks into manageable steps. SSAs make informed decisions based on domain-specific knowledge. With OpenSSA, users can create agents that process, generate, and reason about information, making them more effective and efficient in solving real-world challenges.

AI Product Home is a repository dedicated to collecting various AI commercial or open-source products. It provides assistance in submitting issues, self-recommendation, correcting resources, and more. The repository also features AI tools like Build Naidia, Autopod, Rytr, Mubert, and a virtual town driven by AI. It includes sections for AI models, chat dialogues, AI assistants, code assistance, artistic creation, content creation, and more. The repository covers a wide range of AI-related tools and resources for users interested in AI products and services.

The LLMEvaluation repository is a comprehensive compendium of evaluation methods for Large Language Models (LLMs) and LLM-based systems. It aims to assist academics and industry professionals in creating effective evaluation suites tailored to their specific needs by reviewing industry practices for assessing LLMs and their applications. The repository covers a wide range of evaluation techniques, benchmarks, and studies related to LLMs, including areas such as embeddings, question answering, multi-turn dialogues, reasoning, multi-lingual tasks, ethical AI, biases, safe AI, code generation, summarization, software performance, agent LLM architectures, long text generation, graph understanding, and various unclassified tasks. It also includes evaluations for LLM systems in conversational systems, copilots, search and recommendation engines, task utility, and verticals like healthcare, law, science, financial, and others. The repository provides a wealth of resources for evaluating and understanding the capabilities of LLMs in different domains.

Swarms provides simple, reliable, and agile tools to create your own Swarm tailored to your specific needs. Currently, Swarms is being used in production by RBC, John Deere, and many AI startups.

KG-LLM-Papers is a repository that collects papers integrating knowledge graphs (KGs) and large language models (LLMs). It serves as a comprehensive resource for research on the role of KGs in the era of LLMs, covering surveys, methods, and resources related to this integration.

The Conversational Azure OpenAI Accelerator is a tool designed to provide rapid, no-cost custom demos tailored to customer use cases, from internal HR/IT to external contact centers. It focuses on top use cases of GenAI conversation and summarization, plus live backend data integration. The tool automates conversations across voice and text channels, providing a valuable way to save money and improve customer and employee experience. By combining Azure OpenAI + Cognitive Search, users can efficiently deploy a ChatGPT experience using web pages, knowledge base articles, and data sources. The tool enables simultaneous deployment of conversational content to chatbots, IVR, voice assistants, and more in one click, eliminating the need for in-depth IT involvement. It leverages Microsoft's advanced AI technologies, resulting in a conversational experience that can converse in human-like dialogue, respond intelligently, and capture content for omni-channel unified analytics.

Laravel AI Translator is a powerful tool designed to streamline the localization process in Laravel projects. It automates the task of translating strings across multiple languages using advanced AI models like GPT-4 and Claude. The tool supports custom language styles, preserves variables and nested structures, and ensures consistent tone and style across translations. It integrates seamlessly with Laravel projects, making internationalization easier and more efficient. Users can customize translation rules, handle large language files efficiently, and validate translations for accuracy. The tool offers contextual understanding, linguistic precision, variable handling, smart length adaptation, and tone consistency for intelligent translations.

LLM-PlayLab is a repository containing various projects related to LLM (Large Language Models) fine-tuning, generative AI, time-series forecasting, and crash courses. It includes projects for text generation, sentiment analysis, data analysis, chat assistants, image captioning, and more. The repository offers a wide range of tools and resources for exploring and implementing advanced AI techniques.

**deep** doctection is a Python library that orchestrates document extraction and document layout analysis tasks using deep learning models. It does not implement models but enables you to build pipelines using highly acknowledged libraries for object detection, OCR and selected NLP tasks and provides an integrated framework for fine-tuning, evaluating and running models. For more specific text processing tasks use one of the many other great NLP libraries. **deep** doctection focuses on applications and is made for those who want to solve real world problems related to document extraction from PDFs or scans in various image formats. **deep** doctection provides model wrappers of supported libraries for various tasks to be integrated into pipelines. Its core function does not depend on any specific deep learning library. Selected models for the following tasks are currently supported: * Document layout analysis including table recognition in Tensorflow with **Tensorpack**, or PyTorch with **Detectron2**, * OCR with support of **Tesseract**, **DocTr** (Tensorflow and PyTorch implementations available) and a wrapper to an API for a commercial solution, * Text mining for native PDFs with **pdfplumber**, * Language detection with **fastText**, * Deskewing and rotating images with **jdeskew**. * Document and token classification with all LayoutLM models provided by the **Transformer library**. (Yes, you can use any LayoutLM-model with any of the provided OCR-or pdfplumber tools straight away!). * Table detection and table structure recognition with **table-transformer**. * There is a small dataset for token classification available and a lot of new tutorials to show, how to train and evaluate this dataset using LayoutLMv1, LayoutLMv2, LayoutXLM and LayoutLMv3. * Comprehensive configuration of **analyzer** like choosing different models, output parsing, OCR selection. Check this notebook or the docs for more infos. * Document layout analysis and table recognition now runs with **Torchscript** (CPU) as well and **Detectron2** is not required anymore for basic inference. * [**new**] More angle predictors for determining the rotation of a document based on **Tesseract** and **DocTr** (not contained in the built-in Analyzer). * [**new**] Token classification with **LiLT** via **transformers**. We have added a model wrapper for token classification with LiLT and added a some LiLT models to the model catalog that seem to look promising, especially if you want to train a model on non-english data. The training script for LayoutLM can be used for LiLT as well and we will be providing a notebook on how to train a model on a custom dataset soon. **deep** doctection provides on top of that methods for pre-processing inputs to models like cropping or resizing and to post-process results, like validating duplicate outputs, relating words to detected layout segments or ordering words into contiguous text. You will get an output in JSON format that you can customize even further by yourself. Have a look at the **introduction notebook** in the notebook repo for an easy start. Check the **release notes** for recent updates. **deep** doctection or its support libraries provide pre-trained models that are in most of the cases available at the **Hugging Face Model Hub** or that will be automatically downloaded once requested. For instance, you can find pre-trained object detection models from the Tensorpack or Detectron2 framework for coarse layout analysis, table cell detection and table recognition. Training is a substantial part to get pipelines ready on some specific domain, let it be document layout analysis, document classification or NER. **deep** doctection provides training scripts for models that are based on trainers developed from the library that hosts the model code. Moreover, **deep** doctection hosts code to some well established datasets like **Publaynet** that makes it easy to experiment. It also contains mappings from widely used data formats like COCO and it has a dataset framework (akin to **datasets** so that setting up training on a custom dataset becomes very easy. **This notebook** shows you how to do this. **deep** doctection comes equipped with a framework that allows you to evaluate predictions of a single or multiple models in a pipeline against some ground truth. Check again **here** how it is done. Having set up a pipeline it takes you a few lines of code to instantiate the pipeline and after a for loop all pages will be processed through the pipeline.

This repository, Awesome-LLM-Survey, serves as a comprehensive collection of surveys related to Large Language Models (LLM). It covers various aspects of LLM, including instruction tuning, human alignment, LLM agents, hallucination, multi-modal capabilities, and more. Researchers are encouraged to contribute by updating information on their papers to benefit the LLM survey community.

The RAG ChatBot project combines Lama.cpp, Chroma, and Streamlit to build a Conversation-aware Chatbot and a Retrieval-augmented generation (RAG) ChatBot. The RAG Chatbot works by taking a collection of Markdown files as input and provides answers based on the context provided by those files. It utilizes a Memory Builder component to load Markdown pages, divide them into sections, calculate embeddings, and save them in an embedding database. The chatbot retrieves relevant sections from the database, rewrites questions for optimal retrieval, and generates answers using a local language model. It also remembers previous interactions for more accurate responses. Various strategies are implemented to deal with context overflows, including creating and refining context, hierarchical summarization, and async hierarchical summarization.

The 'vector-search-class-notes' repository contains class materials for a course on Long Term Memory in AI, focusing on vector search and databases. The course covers theoretical foundations and practical implementation of vector search applications, algorithms, and systems. It explores the intersection of Artificial Intelligence and Database Management Systems, with topics including text embeddings, image embeddings, low dimensional vector search, dimensionality reduction, approximate nearest neighbor search, clustering, quantization, and graph-based indexes. The repository also includes information on the course syllabus, project details, selected literature, and contributions from industry experts in the field.

VMind is an open-source solution for intelligent visualization, providing an intelligent chart component based on LLM by VisActor. It allows users to create chart narrative works with natural language interaction, edit charts through dialogue, and export narratives as videos or GIFs. The tool is easy to use, scalable, supports various chart types, and offers one-click export functionality. Users can customize chart styles, specify themes, and aggregate data using LLM models. VMind aims to enhance efficiency in creating data visualization works through dialogue-based editing and natural language interaction.

ABigSurveyOfLLMs is a repository that compiles surveys on Large Language Models (LLMs) to provide a comprehensive overview of the field. It includes surveys on various aspects of LLMs such as transformers, alignment, prompt learning, data management, evaluation, societal issues, safety, misinformation, attributes of LLMs, efficient LLMs, learning methods for LLMs, multimodal LLMs, knowledge-based LLMs, extension of LLMs, LLMs applications, and more. The repository aims to help individuals quickly understand the advancements and challenges in the field of LLMs through a collection of recent surveys and research papers.

This repository is dedicated to collecting and categorizing papers related to Retrieval-Augmented Generation (RAG) for AI-generated content. It serves as a survey repository based on the paper 'Retrieval-Augmented Generation for AI-Generated Content: A Survey'. The repository is continuously updated to keep up with the rapid growth in the field of RAG.

A collection of papers related to knowledge distillation of large language models (LLMs). The repository focuses on techniques to transfer advanced capabilities from proprietary LLMs to smaller models, compress open-source LLMs, and refine their performance. It covers various aspects of knowledge distillation, including algorithms, skill distillation, verticalization distillation in fields like law, medical & healthcare, finance, science, and miscellaneous domains. The repository provides a comprehensive overview of the research in the area of knowledge distillation of LLMs.

LLMInterviewQuestions is a repository containing over 100+ interview questions for Large Language Models (LLM) used by top companies like Google, NVIDIA, Meta, Microsoft, and Fortune 500 companies. The questions cover various topics related to LLMs, including prompt engineering, retrieval augmented generation, chunking, embedding models, internal working of vector databases, advanced search algorithms, language models internal working, supervised fine-tuning of LLM, preference alignment, evaluation of LLM system, hallucination control techniques, deployment of LLM, agent-based system, prompt hacking, and miscellaneous topics. The questions are organized into 15 categories to facilitate learning and preparation.

Your Go-To Guide for Personalized Movie, TV, Anime, and Song Recommendations.

Expert in personalized content discovery and recommendation.

Given a set of Parameters, Provides a set of Order Recommendations

I humorously match you with a GOT character.

Your fun guide to 80s and 90s movies, with engaging chats and recommendations!

Agent that helps you discover other Agents as per your requirements : ) Over 2000+ Agents onboard 🤍

あなたの好みにマッチするVtuberを提案します！

Ich bin Geschenkexperte. Machen Sie eine kurze Umfrage und ich empfehle die idealen Geschenke.

Expert in K-Dramas, offering lists, summaries, and personalized recommendations.

Assistant focused on teaching concepts, evaluating comprehension, and recommending subsequent topics. USE WITH VOICE.

I can recommend suitable quotes for media sharing based on your needs.

Assesses and recommends potential suppliers for organizational needs.

Figure out what icon to use for a particular use-case. Quickly and easily.

Finds and lists conferences happening around you.

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

Suggests recommendations on 'Experience' aspect of E-E-A-T

With deep knowledge of content that is available on Hulu, I specialize in enhancing your Hulu viewing experience with personalized recommendations, insightful trivia, and contextual information.

Expert vacation planner for destination recommendations, budget advice, and must-visit spots.

Analyzes code for accessibility issues & provides recommendations

Your fun guide to 2000s and 2010s movies, with engaging chats and recommendations!