Best AI tools for< Explain Text Data >

ChatDOC is an AI-powered tool that allows users to chat with PDF documents and get instant answers with cited sources. It can summarize long documents, explain complex concepts, and find key information in seconds. ChatDOC is built for professionals and is used by over 500,000 global users.

Programming Helper is a tool that helps you code faster with the help of AI. It can generate code, test code, and explain code. It also has a wide range of other features, such as a function from description, text description to SQL command, and code to explanation. Programming Helper is a valuable tool for any programmer, regardless of their skill level.

AtozAi is an AI application designed to empower developers by providing AI-powered tools that enhance coding efficiency and productivity. The platform offers features such as AI-driven code debugging, efficient code conversion, smart regex generation, comprehensive code explanations, and instant text explanations. AtozAi aims to cover a wide range of coding tasks with specialized AI algorithms, continually expanding its toolkit to make tasks easier, more efficient, and creative for developers.

Totoy is a Document AI tool that redefines the way documents are processed. Its API allows users to explain, classify, and create knowledge bases from documents without the need for training. The tool supports 19 languages and works with plain text, images, and PDFs. Totoy is ideal for automating workflows, complying with accessibility laws, and creating custom AI assistants for employees or customers.

SciSpace is an AI-powered tool that helps researchers understand research papers better. It can explain and elaborate most academic texts in simple words. It is a great tool for students, researchers, and anyone who wants to learn more about a particular topic. SciSpace has a user-friendly interface and is easy to use. Simply upload a research paper or enter a URL, and SciSpace will do the rest. It will highlight key concepts, provide definitions, and generate a summary of the paper. SciSpace can also be used to generate citations and find related papers.

Rerun is an SDK, time-series database, and visualizer for temporal and multimodal data. It is used in fields like robotics, spatial computing, 2D/3D simulation, and finance to verify, debug, and explain data. Rerun allows users to log data like tensors, point clouds, and text to create streams, visualize and interact with live and recorded streams, build layouts, customize visualizations, and extend data and UI functionalities. The application provides a composable data model, dynamic schemas, and custom views for enhanced data visualization and analysis.

AI2SQL is an AI-powered SQL query builder and generator that allows users to create, optimize, and automate SQL queries without the need for expert skills. The tool transforms natural language instructions into precise SQL and NoSQL queries, simplifying database design and enhancing query performance. With features like Text2SQL, SQL Query Fixer, SQL Query Explainer, and SQL Query Optimizer, AI2SQL offers a streamlined solution for diverse SQL tasks. Trusted by industry leaders, AI2SQL saves time, reduces errors, and improves productivity for data analysts and developers.

Aixploria is a website dedicated to artificial intelligence that allows you to discover the best AI tools directory available online. Our site features a selection of listings arranged in categories that make it easy for you to find AIs that meet your criteria. In fact, the largest list of sites using AI can be found on this page! Plus, this list is updated daily, so you can bookmark it so you don’t miss out on the latest news. Lately, the site also posts articles that explain how each AI works.

Excelly-AI is a powerful tool that transforms plain text into Excel formulas, supporting both Excel and Google Sheets. Users can generate any formula they like and receive explanations for each. It allows uploading .xlsx files for personalized prompts and offers VBA formula generation. Excelly-AI integrates with Slack for team collaboration and provides column schema support for meaningful prompts, enhancing Excel and Google Sheets operations.

Explainpaper is an AI-powered tool designed to simplify and explain complex research papers. Users can upload a paper, highlight confusing text, and receive explanations to make the content easier to understand. The tool leverages AI and machine learning models to break down dense sections and clarify intricate concepts, ultimately making research papers more accessible to a wider audience. It is a valuable resource for researchers, students, and anyone looking to delve into complex topics with confidence.

The website offers a free AI Excel Formula Generator tool that converts text instructions into formulas or explains input formulas. It also provides other AI-powered data analysis tools like sentiment analysis, PDF to Excel converter, SQL query generator, and more. The AI-driven tools aim to simplify Excel tasks, automate formula creation, and help beginners utilize Excel's functionalities efficiently and accurately.

Wonder AI is a powerful AI tool in the form of a Chrome extension that enhances writing, editing, and reading capabilities. It offers a range of features such as rewriting, spell checking, explaining, fine-tuning, summarizing, and translating content with ease. Users can access these tools with a single click, improving efficiency and effectiveness in their day-to-day tasks. Wonder AI aims to streamline the content creation process and provide users with the best version of their work.

MD Editor is an AI-powered markdown editor designed for tech writers to supercharge their writing workflows. It offers intelligent suggestions, formatting assistance, and code highlighting to streamline the writing process. With features like AI Brainstorm Ideas, Generate code & images, Rewrite text & Explain Code, and more, MD Editor aims to enhance productivity and improve the quality of technical writing. Users can manage articles, drafts, and ideas in one place, customize their writing experience, and sync articles across devices. The platform also supports exporting articles to various formats and publishing to multiple platforms.

PicNotes is a web-based image-to-text converter that can convert messy images into summaries, text, or explanations. It supports handwritten papers, medical reports, and other types of images. The tool is easy to use: simply upload an image and choose the desired output format. PicNotes will then process the image and return the results within seconds.

MaxAI is a productivity tool that provides users with access to various AI models, including ChatGPT, Claude, and Gemini, through a single platform. It offers a range of AI-powered features such as AI chat, AI rewriter, AI quick reply, AI summary, AI search, AI art, and AI translator. MaxAI is designed to help users save time and improve their productivity by automating repetitive tasks and providing assistance with various tasks.

MaxAI.me is an AI application that offers a suite of AI-powered tools to supercharge reading, writing, and searching across the web. It provides features such as AI summary, reading assistant, vision, rewriter, instant reply, chat, search, translator, prompts, and art. MaxAI.me caters to various industries including business owners, marketing, education, consulting, human resources, financial services, and real estate. Additionally, it offers free online PDF tools for merging, splitting, converting to PNG/JPEG, and more. Users can access MaxAI.me via Chrome and Edge extensions for free.

Flot AI is an AI-powered writing, reading, and memorization tool that seamlessly integrates into your daily workflow. It is backed by OpenAI and designed to assist users across various apps and websites. With features like AI memory, grammar correction, composing drafts, and expert prompts, Flot AI aims to enhance users' productivity and creativity. The application supports over 200 languages and offers a universal solution for writing and memory tasks at a competitive price point.

slAItor is an AI translation assistant powered by GPT technology. It offers advanced translation features and customization options to enhance the translation experience. Users can benefit from step-by-step translations, multiple translation alternatives, and unique translation styles. The tool supports 28 language pairs and combines recent AI advancements with traditional translation techniques to deliver accurate and efficient translations. slAItor also provides post-processing and evaluation steps to ensure translation quality and offers a user-friendly interface for seamless translation management.

Tooltips.ai is an AI-powered reading extension that provides instant definitions, translations, and summaries for any word or phrase you hover over. It is designed to enhance your reading experience by making it easier and faster to understand complex or unfamiliar content. Tooltips.ai integrates seamlessly with your browser, so you can use it on any website or document.

Sider is an AI tool that combines ChatGPT Sidebar with GPT-4o, Claude 3, and Gemini 1.5 to provide an all-in-one AI assistant for reading, writing, and chatting on any webpage. It offers features such as chat support with links, images, PDFs, and various GPT models, free usage, and integration with Chrome. Users can benefit from increased productivity, reduced time spent on tasks, and enhanced creativity and knowledge expansion.

imodelsX is a Scikit-learn friendly library that provides tools for explaining, predicting, and steering text models/data. It also includes a collection of utilities for getting started with text data. **Explainable modeling/steering** | Model | Reference | Output | Description | |---|---|---|---| | Tree-Prompt | [Reference](https://github.com/microsoft/AugML/tree/main/imodelsX/tree_prompt) | Explanation + Steering | Generates a tree of prompts to steer an LLM (_Official_) | | iPrompt | [Reference](https://github.com/microsoft/AugML/tree/main/imodelsX/iprompt) | Explanation + Steering | Generates a prompt that explains patterns in data (_Official_) | | AutoPrompt | [Reference](https://github.com/microsoft/AugML/tree/main/imodelsX/autoprompt) | Explanation + Steering | Find a natural-language prompt using input-gradients (⌛ In progress)| | D3 | [Reference](https://github.com/microsoft/AugML/tree/main/imodelsX/d3) | Explanation | Explain the difference between two distributions | | SASC | [Reference](https://github.com/microsoft/AugML/tree/main/imodelsX/sasc) | Explanation | Explain a black-box text module using an LLM (_Official_) | | Aug-Linear | [Reference](https://github.com/microsoft/AugML/tree/main/imodelsX/aug_linear) | Linear model | Fit better linear model using an LLM to extract embeddings (_Official_) | | Aug-Tree | [Reference](https://github.com/microsoft/AugML/tree/main/imodelsX/aug_tree) | Decision tree | Fit better decision tree using an LLM to expand features (_Official_) | **General utilities** | Model | Reference | |---|---| | LLM wrapper| [Reference](https://github.com/microsoft/AugML/tree/main/imodelsX/llm) | Easily call different LLMs | | | Dataset wrapper| [Reference](https://github.com/microsoft/AugML/tree/main/imodelsX/data) | Download minimially processed huggingface datasets | | | Bag of Ngrams | [Reference](https://github.com/microsoft/AugML/tree/main/imodelsX/bag_of_ngrams) | Learn a linear model of ngrams | | | Linear Finetune | [Reference](https://github.com/microsoft/AugML/tree/main/imodelsX/linear_finetune) | Finetune a single linear layer on top of LLM embeddings | | **Related work** * [imodels package](https://github.com/microsoft/interpretml/tree/main/imodels) (JOSS 2021) - interpretable ML package for concise, transparent, and accurate predictive modeling (sklearn-compatible). * [Adaptive wavelet distillation](https://arxiv.org/abs/2111.06185) (NeurIPS 2021) - distilling a neural network into a concise wavelet model * [Transformation importance](https://arxiv.org/abs/1912.04938) (ICLR 2020 workshop) - using simple reparameterizations, allows for calculating disentangled importances to transformations of the input (e.g. assigning importances to different frequencies) * [Hierarchical interpretations](https://arxiv.org/abs/1807.03343) (ICLR 2019) - extends CD to CNNs / arbitrary DNNs, and aggregates explanations into a hierarchy * [Interpretation regularization](https://arxiv.org/abs/2006.14340) (ICML 2020) - penalizes CD / ACD scores during training to make models generalize better * [PDR interpretability framework](https://www.pnas.org/doi/10.1073/pnas.1814225116) (PNAS 2019) - an overarching framewwork for guiding and framing interpretable machine learning

This repository serves as a comprehensive hub for updates on generative AI research, interview materials, notebooks, and more. It includes monthly best GenAI papers list, interview resources, free courses, and code repositories/notebooks for developing generative AI applications. The repository is regularly updated with the latest additions to keep users informed and engaged in the field of generative AI.

ChatGPT is a large language model that can generate human-like text, translate languages, write different kinds of creative content, and answer your questions in a conversational way. It is trained on a massive amount of text data, and it is able to understand and respond to a wide range of natural language prompts. Here are 5 jobs suitable for this tool, in lowercase letters: 1. content writer 2. chatbot assistant 3. language translator 4. creative writer 5. researcher

VectorETL is a lightweight ETL framework designed to assist Data & AI engineers in processing data for AI applications quickly. It streamlines the conversion of diverse data sources into vector embeddings and storage in various vector databases. The framework supports multiple data sources, embedding models, and vector database targets, simplifying the creation and management of vector search systems for semantic search, recommendation systems, and other vector-based operations.

This repository contains a comprehensive collection of 63 must-know Large Language Models (LLMs) interview questions. It covers topics such as the architecture of LLMs, transformer models, attention mechanisms, training processes, encoder-decoder frameworks, differences between LLMs and traditional statistical language models, handling context and long-term dependencies, transformers for parallelization, applications of LLMs, sentiment analysis, language translation, conversation AI, chatbots, and more. The readme provides detailed explanations, code examples, and insights into utilizing LLMs for various tasks.

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.

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. |  |

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.

LLMWare is a framework for quickly developing LLM-based applications including Retrieval Augmented Generation (RAG) and Multi-Step Orchestration of Agent Workflows. This project provides a comprehensive set of tools that anyone can use - from a beginner to the most sophisticated AI developer - to rapidly build industrial-grade, knowledge-based enterprise LLM applications. Our specific focus is on making it easy to integrate open source small specialized models and connecting enterprise knowledge safely and securely.

OneReality is a virtual waifu/assistant that you can speak to through your mic and it'll speak back to you! It has many features such as: * You can speak to her with a mic * It can speak back to you * Has short-term memory and long-term memory * Can open apps * Smarter than you * Fluent in English, Japanese, Korean, and Chinese * Can control your smart home like Alexa if you set up Tuya (more info in Prerequisites) It is built with Python, Llama-cpp-python, Whisper, SpeechRecognition, PocketSphinx, VITS-fast-fine-tuning, VITS-simple-api, HyperDB, Sentence Transformers, and Tuya Cloud IoT.

Neural is a Vim and Neovim plugin that integrates various machine learning tools to assist users in writing code, generating text, and explaining code or paragraphs. It supports multiple machine learning models, focuses on privacy, and is compatible with Vim 8.0+ and Neovim 0.8+. Users can easily configure Neural to interact with third-party machine learning tools, such as OpenAI, to enhance code generation and completion. The plugin also provides commands like `:NeuralExplain` to explain code or text and `:NeuralStop` to stop Neural from working. Neural is maintained by the Dense Analysis team and comes with a disclaimer about sending input data to third-party servers for machine learning queries.

Analyze the following text from a github repository (name and readme text at end) . Then, generate a JSON object with the following keys and provide the corresponding information for each key, in lowercase letters: 'description' (detailed description of the repo, must be less than 400 words，Ensure that no line breaks and quotation marks.),'for_jobs' (List 5 jobs suitable for this tool,in lowercase letters), 'ai_keywords' (keywords of the tool,user may use those keyword to find the tool,in lowercase letters), 'for_tasks' (list of 5 specific tasks user can use this tool to do,in lowercase letters), 'answer' (in english languages)

PIXIU is a project designed to support the development, fine-tuning, and evaluation of Large Language Models (LLMs) in the financial domain. It includes components like FinBen, a Financial Language Understanding and Prediction Evaluation Benchmark, FIT, a Financial Instruction Dataset, and FinMA, a Financial Large Language Model. The project provides open resources, multi-task and multi-modal financial data, and diverse financial tasks for training and evaluation. It aims to encourage open research and transparency in the financial NLP field.

AIlice is a fully autonomous, general-purpose AI agent that aims to create a standalone artificial intelligence assistant, similar to JARVIS, based on the open-source LLM. AIlice achieves this goal by building a "text computer" that uses a Large Language Model (LLM) as its core processor. Currently, AIlice demonstrates proficiency in a range of tasks, including thematic research, coding, system management, literature reviews, and complex hybrid tasks that go beyond these basic capabilities. AIlice has reached near-perfect performance in everyday tasks using GPT-4 and is making strides towards practical application with the latest open-source models. We will ultimately achieve self-evolution of AI agents. That is, AI agents will autonomously build their own feature expansions and new types of agents, unleashing LLM's knowledge and reasoning capabilities into the real world seamlessly.

The 'gritlm' repository provides all materials for the paper Generative Representational Instruction Tuning. It includes code for inference, training, evaluation, and known issues related to the GritLM model. The repository also offers models for embedding and generation tasks, along with instructions on how to train and evaluate the models. Additionally, it contains visualizations, acknowledgements, and a citation for referencing the work.

Explain using math and python

Generate and explain regex patterns from your description, it support English and Chinese.

A coding expert who interprets and writes code, explains concepts, and debugs.

Copy and paste your email draft to be proofread by GPT without changing their content. Optionally, write 'Verbose = True' on the line before pasting your draft if you would like GPT to explain how it evaluated and changed your text after proofreading.

you provide English, I provide Chinese, also if there's idiom of English, the GPT will explain to you.

This GPT is able to parse a sentence, provide an appropriate translation of the input text and be able to provide a response explaining the structure of a sentence in japanese.

入力内容をおじさん構文に変換します。Transforms text into 'Ojisan' style Japanese.

Paste in text, get explanations of all of the jargon and acronyms

Specializes in clear, precise academic writing in the natural sciences. Corrects text provided by the user and does not write originally.

Your Spanish to German language tutor, translating and explaining beyond A1 level.

Analyzes sentences and explains in Korean.

Formal scrambler with explanations and coherence tips.

Advanced translator with a focus on cultural nuances and proverbs.

Simplifies complex topics into easy-to-understand, concise explanations for adults.

提供深入浅出的书籍内容讲解

A linguist explaining language nuances, from syntax to pragmatics.

Refines English/Japanese sentences, explains in Japanese.

I simplify tech jargon into easy-to-understand language.

Translates and analyzes non-Chinese text; explains grammar in Chinese.

Explains like to a 5-year-old in Mandarin, relating to daily life