Best AI tools for< Explore New Nlp Tasks And Datasets >

Inspect is an open-source framework for large language model evaluations created by the UK AI Safety Institute. It provides built-in components for prompt engineering, tool usage, multi-turn dialog, and model graded evaluations. Users can explore various solvers, tools, scorers, datasets, and models to create advanced evaluations. Inspect supports extensions for new elicitation and scoring techniques through Python packages.

The New Black is an AI-powered clothing fashion design generator that allows users to create unique and stylish clothing designs with ease. With its intuitive interface and powerful AI algorithms, The New Black empowers users to explore their creativity and bring their fashion visions to life. Whether you're a professional designer or simply have a passion for fashion, The New Black is the perfect tool to help you create stunning and eye-catching designs.

The website is a platform that showcases the latest features and innovations in the Android ecosystem, particularly focusing on Google AI integration. Users can explore new Android devices, learn about Android 14 protection, accessibility features, and enterprise solutions. The site also promotes Android Auto, Quick Share, and device switching capabilities. It emphasizes a seamless search experience with 'Circle to Search' and offers exclusive features like 'Photomoji' for creating custom emojis and 'Magic Compose' for composing memorable messages. Users can shop for phones, tablets, and accessories, sign up for beta testing, and access device-specific functionalities. The platform caters to tech enthusiasts, Android users, and those interested in cutting-edge mobile technologies.

SagaSwipe is an interactive audio adventure application designed for iOS and Android users. It offers a unique experience where users can immerse themselves in infinite audio realms guided solely by touch. Unlike traditional sleep apps, SagaSwipe provides engaging escapes into magical realms, vibrant cities, serene landscapes, or mysterious outer space. The application combines AI and voice synthesis technology with an intuitive interface to generate personalized audio worlds for users to explore and relax.

The website 'Advance with AI' offers a range of AI tools and applications for various purposes such as content creation, image editing, and productivity enhancement. Users can access AI-powered tools like AI Writer, AI Image Generators, and AI Productivity Tools to streamline their tasks and improve efficiency. The platform also provides information on different AI categories and frequently asked questions related to AI tools and their applications.

Talpa Search is a search engine developed by LibraryThing, allowing users to search for books, movies, music, and various other topics. Users can search for a wide range of queries, from specific book quotes to movie genres. The platform aims to provide a user-friendly and efficient search experience for individuals looking to explore and discover new content.

Orb Plugins offers a suite of AI-powered music production tools designed for composers, producers, and DJs. Their flagship product, Orb Producer 3, assists users in generating chords, melodies, and rhythms, while Orb Synth X provides a state-of-the-art wavetable synthesizer. Orb Orchestra is tailored for composers, enabling them to experiment with new musical ideas and compose efficiently. The plugins are known for their user-friendly interface, seamless DAW integration, and ability to break creative blocks. Many professionals in the music industry use Orb Plugins to enhance their workflow and explore new sonic possibilities.

TripTip Travel Planner is a smart and playful travel planning application that utilizes AI technology to create personalized itineraries for users. The tool allows users to design their ideal journey step-by-step by entering their destination, trip dates, type of trip, and interests. It offers a unique level of personalization, generating the best itineraries and recommendations tailored to individual preferences. With TripTip, users can explore worldwide destinations with personalized insights, enhance their adventure with AI-enhanced maps, and stay connected anywhere with offline access. The application aims to make every trip unique and unforgettable by providing detailed trip information and optimizing routes.

GENjourney is an AI-powered travel planning application that helps users create personalized trip itineraries. By leveraging artificial intelligence technology, GENjourney offers tailored travel recommendations based on user preferences and interests. Users can input their desired destinations, activities, and budget, and GENjourney will generate optimized travel plans with suggested attractions, accommodations, and transportation options. With GENjourney, users can save time and effort in planning their trips while discovering new and exciting travel experiences.

Character Headcanon Generator is an AI tool that creates unique character backstories and traits for writers. It offers a seamless and user-friendly experience, allowing users to input character details and generate engaging new story elements. The tool utilizes algorithms to expand on the inputted details and provides a valuable resource for writers, role-players, and fan fiction enthusiasts to enhance their storytelling.

AI Song Generator is a free online tool that allows users to create unique songs with artificial intelligence. Users can generate original melodies, lyrics, and full songs with just a few clicks. The tool offers daily free credits, multiple generation modes, 3-minute song creation, copyright-safe output, high-quality results, and easy export options. It has been loved by thousands of users for its professional-grade music production capabilities and versatility in creating various music styles.

The OECD Observatory of Public Sector Innovation (OPSI) is a website that provides resources and tools to help governments and public servants explore new possibilities for innovation. OPSI's work areas include European Commission Collaboration, Anticipatory Innovation, Cross-Border Government Innovation, Behavioural Insights, Innovative Capacity, Innovation Trends, Innovation Portfolios, Mission-Oriented Innovation, Innovation Management, and Systems Approaches. OPSI also has a number of resources available, including a Toolkit Navigator, Case Study Library, Portfolio Exploration Tool, and Anticipatory Innovation Resource (AIR).

AIExplorerApp is a platform offering innovative AI-powered applications to simplify and enhance various aspects of life. From personalized travel planning to creative tools like AI Face Swap Video Generator, the app provides cutting-edge technology for different needs. Users can explore new destinations, create viral videos, and leverage AI for everyday tasks, all through a seamless and inspiring experience.

Bichos ID de Fucesa is an AI tool that allows users to explore and identify insects, arachnids, and other arthropods using artificial intelligence. Users can discover the most searched bugs, explore new discoveries made by the community, and view curated organisms. The platform aims to expand knowledge about the fascinating world of arthropods through AI-powered identification.

Vana is an AI-powered platform that allows users to create a digital version of themselves and explore, learn, and grow in a virtual world. Users can create their own avatars, interact with other users, and participate in a variety of activities, including games, educational experiences, and social events. Vana is designed to be a safe and supportive environment where users can learn and grow at their own pace.

Experiments with Google is a website that showcases a collection of experiments created by coders using Chrome, Android, AI, AR, and more. The experiments are designed to inspire others to create new experiments and explore the possibilities of these technologies. The website also provides helpful tools and resources for creating experiments.

HumanX 2025 is the #1 AI Conference of 2025 that focuses on actionable insights and real-world applications of AI solutions. The premier industry event features a comprehensive agenda with nine diverse tracks, over 300 expert speakers, and numerous opportunities for meaningful connections. From innovators introducing breakthrough technologies to ethicists and policymakers framing the conversation around responsible AI use, HumanX aims to shape a future where technology amplifies human capability and innovation.

LingoSub is a language learning platform that allows users to learn new languages by watching videos with subtitles and AI-powered translations. With a vast library of videos in multiple languages, learners can immerse themselves in content that interests them while expanding their vocabulary and language skills. The platform offers a community of language learners, various pricing plans, and a responsive interface for seamless learning across devices.

Recipe Reactor is the ultimate kitchen companion that helps users unlock the full potential of their kitchen. It allows users to import, organize, plan meals, and explore new culinary horizons. With AI-powered recipe creation, effortless recipe importing, and comprehensive recipe management, Recipe Reactor simplifies, innovates, and masters the culinary world. Users can turn random ingredients into culinary masterpieces, reduce food waste, and enrich their cooking experience with educational insights.

Idolly is an AI-powered creative platform that allows users to generate high-quality custom images instantly. It offers a range of innovative features such as Face Transfer, Mood Fusion, Embrace Diversity, and Re-Create, enabling users to unleash their creativity and bring their wildest dreams to life. Users can interact with the platform through daily missions and a referral program to enhance their experience. With the power of AI magic and token technology, Idolly empowers users to explore new frontiers of creativity and express themselves in unique ways.

Unitxt is a customizable library for textual data preparation and evaluation tailored to generative language models. It natively integrates with common libraries like HuggingFace and LM-eval-harness and deconstructs processing flows into modular components, enabling easy customization and sharing between practitioners. These components encompass model-specific formats, task prompts, and many other comprehensive dataset processing definitions. The Unitxt-Catalog centralizes these components, fostering collaboration and exploration in modern textual data workflows. Beyond being a tool, Unitxt is a community-driven platform, empowering users to build, share, and advance their pipelines collaboratively.

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.

**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.

LLM-PowerHouse is a comprehensive and curated guide designed to empower developers, researchers, and enthusiasts to harness the true capabilities of Large Language Models (LLMs) and build intelligent applications that push the boundaries of natural language understanding. This GitHub repository provides in-depth articles, codebase mastery, LLM PlayLab, and resources for cost analysis and network visualization. It covers various aspects of LLMs, including NLP, models, training, evaluation metrics, open LLMs, and more. The repository also includes a collection of code examples and tutorials to help users build and deploy LLM-based applications.

This repository is a curated collection of resources for fine-tuning Large Language Models (LLMs) like GPT, BERT, RoBERTa, and their variants. It includes tutorials, papers, tools, frameworks, and best practices to aid researchers, data scientists, and machine learning practitioners in adapting pre-trained models to specific tasks and domains. The resources cover a wide range of topics related to fine-tuning LLMs, providing valuable insights and guidelines to streamline the process and enhance model performance.

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.

Awesome-LLM-Quantization is a curated list of resources related to quantization techniques for Large Language Models (LLMs). Quantization is a crucial step in deploying LLMs on resource-constrained devices, such as mobile phones or edge devices, by reducing the model's size and computational requirements.

The LLM course is divided into three parts: 1. 🧩 **LLM Fundamentals** covers essential knowledge about mathematics, Python, and neural networks. 2. 🧑‍🔬 **The LLM Scientist** focuses on building the best possible LLMs using the latest techniques. 3. 👷 **The LLM Engineer** focuses on creating LLM-based applications and deploying them. For an interactive version of this course, I created two **LLM assistants** that will answer questions and test your knowledge in a personalized way: * 🤗 **HuggingChat Assistant**: Free version using Mixtral-8x7B. * 🤖 **ChatGPT Assistant**: Requires a premium account. ## 📝 Notebooks A list of notebooks and articles related to large language models. ### Tools | Notebook | Description | Notebook | |----------|-------------|----------| | 🧐 LLM AutoEval | Automatically evaluate your LLMs using RunPod |  | | 🥱 LazyMergekit | Easily merge models using MergeKit in one click. |  | | 🦎 LazyAxolotl | Fine-tune models in the cloud using Axolotl in one click. |  | | ⚡ AutoQuant | Quantize LLMs in GGUF, GPTQ, EXL2, AWQ, and HQQ formats in one click. |  | | 🌳 Model Family Tree | Visualize the family tree of merged models. |  | | 🚀 ZeroSpace | Automatically create a Gradio chat interface using a free ZeroGPU. |  |

LLMeBench is a flexible framework designed for accelerating benchmarking of Large Language Models (LLMs) in the field of Natural Language Processing (NLP). It supports evaluation of various NLP tasks using model providers like OpenAI, HuggingFace Inference API, and Petals. The framework is customizable for different NLP tasks, LLM models, and datasets across multiple languages. It features extensive caching capabilities, supports zero- and few-shot learning paradigms, and allows on-the-fly dataset download and caching. LLMeBench is open-source and continuously expanding to support new models accessible through APIs.

This repository contains a hand-curated list of great machine (deep) learning resources for Natural Language Processing (NLP) with a focus on Generative Pre-trained Transformer (GPT), Bidirectional Encoder Representations from Transformers (BERT), attention mechanism, Transformer architectures/networks, Chatbot, and transfer learning in NLP.

Awesome-Attention-Heads is a platform providing the latest research on Attention Heads, focusing on enhancing understanding of Transformer structure for model interpretability. It explores attention mechanisms for behavior, inference, and analysis, alongside feed-forward networks for knowledge storage. The repository aims to support researchers studying LLM interpretability and hallucination by offering cutting-edge information on Attention Head Mining.

Curates music from extreme sports games like Tony Hawks Pro skater, MX vs ATV, as well as others. Please use this playlist to explore new kinds of music with an open mind. Song types include punk, classics, rap, and others.

Recommends new Careers and Job Titles based on your skills and interests.

The Book Summarizer, provided by Library 2.0 and Hepler Consulting, summarizes any book desired by any user in the context of information they provide. You can also ask for summaries of books you may like but have not read yet to obtain some new books for your reading list!

A virtual world guide offering interactive cultural and historical tours in VR/AR.

Create project ideas from newly learned concepts

Please upload an image of a book you love, and I will analyze your taste to recommend other great reads. Plus, engage in fascinating discussions about these books. It's time for exploring and talking about books!

Multilingual adventures with visuals

A bilingual virtual tour guide with guide maps

🖼️ See into another world through a mirror

상호작용할 수록 새로운 생각과 기억이 생성됩니다

Dynamic learning guide, fostering curiosity and intellectual growth.

Fragmented, potent guide in a surreal world.

A discoverer pushing the frontiers of knowledge.

Generates unique neologisms and optional image output.

I'm here to remind you of all the great things that exist where you live.

🌌 Welcome to "The Quantum Multiverse Game: by Luminosity-e" 🌟 Dive into an exhilarating adventure where imagination meets the infinite possibilities of the multiverse. In this unique turn-based game, you're not just a player – you're a creator, a discoverer, a master of quantum realms.

Fun Meals for Couples to Make Together, Powered by the Chef Will 👨‍🍳 GPT

Vision and thinking different, follow the steps of visionaries.

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

I'll give you a talk about any topic you want!