Best AI tools for< Convert Data >

JSON To ChatGPT is an AI tool designed to convert JSON structures into ChatGPT function calls. It simplifies the process of creating specific JSON structures required for ChatGPT function calling. The tool enables users to easily convert their JSON data into the necessary format for ChatGPT interactions.

Reedr is an AI-powered browser automation tool that simplifies scraping at scale. It offers features such as text recognition (OCR), custom headers, CAPTCHA solver, and proxying for efficient data extraction. With Reedr, users can automate tasks, generate reports, and monitor running tasks in real-time. The tool utilizes AI capabilities to convert visible text and images on web pages into formatted data, supporting various data processing needs. Additionally, Reedr provides customized real-time reporting with API endpoints for different reporting teams, enabling data export in formats like CSV, XLSX, JSON, and YAML. The tool prioritizes industry-leading compliance, adhering to data protection laws and privacy regulations like GDPR.

AssemblyAI is a leading AI tool that provides industry-leading Speech AI models for accurate speech-to-text transcription and understanding. The platform offers powerful SpeechAI models, including the Universal-1, for transforming speech into meaning. With features like speech-to-text transcription, streaming speech-to-text, and speech understanding, AssemblyAI empowers users to extract valuable insights from audio data. The tool is trusted by developers for its accuracy, reliability, and comprehensive documentation, making it a go-to choice for building world-class voice data products.

ExcelDashboard Ai is an AI tool that allows users to instantly convert Excel data into interactive dashboards. The tool simplifies the process of creating visually appealing and insightful dashboards without the need for complex coding or design skills. Users can easily upload their Excel files, customize the dashboard layout, and visualize data in a user-friendly format. ExcelDashboard Ai streamlines the dashboard creation process, saving time and effort for individuals and businesses looking to present data in a more engaging way.

User Evaluation is an AI-powered insights and analysis tool that offers a comprehensive platform for customer understanding. It provides advanced features such as AI-generated reports and presentations, sentiment analysis, transcription solutions, multimodal AI chat, and diverse data sources analysis. The tool helps businesses streamline data discovery, convert customer data into strategic assets, and uncover actionable customer insights with the power of AI.

Klarity is an AI-powered platform that automates accounting and compliance workflows traditionally offshored. It leverages AI to streamline documentation processes, enhance compliance, and drive real-world impact and sustainable scaling. Klarity helps businesses evolve into Exponential Organizations by optimizing functions, scaling efficiently, and driving innovation with AI-powered automation.

Ragobble is an audio to LLM data tool that allows you to easily convert audio files into text data that can be used to train large language models (LLMs). With Ragobble, you can quickly and easily create high-quality training data for your LLM projects.

LedgerBox is an AI tool that specializes in converting bank statements into digital formats. It simplifies the process of managing financial data by automatically extracting and organizing information from bank statements. With LedgerBox, users can easily convert paper-based bank statements into digital files, enabling quick and efficient financial analysis and reporting. The tool is designed to save time and reduce errors associated with manual data entry, making it a valuable asset for individuals and businesses looking to streamline their financial processes.

Rocket Statement is a leading bank statement conversion tool that helps users convert their PDF bank statements into Excel, CSV, or JSON formats quickly, securely, and easily. It supports over 100 major banks worldwide and can handle multilingual statements. The tool is trusted by professionals worldwide and offers a range of features, including bulk processing, clean data formatting, multiple export options, and an AI Copilot for smooth and flawless conversions.

The website provides conversion examples and startup strategies backed by data analysis of successful companies. It offers AI-customized takeaways for startups, product psychology cheat sheets, and insights on product strategies for growth and success. The platform aims to help founders and product teams make informed decisions and optimize their business strategies.

Customers.ai is an AI-powered platform that offers visitor identification and remarketing solutions to help businesses convert website visitors into customers. The platform provides advanced features such as Website Visitor ID Pixel, Contact Data Enrichment, Abandoned Cart Recovery, High-Intent Visitor Audiences, and AI Email Writer. Customers.ai enables personalized outreach, retargeting, and customer journey insights using AI technology. The platform is designed to enhance marketing performance, increase conversion rates, and improve user engagement through data-driven strategies.

Sojern is a travel marketing platform that provides data-driven solutions to help businesses in the travel industry reach and engage their target audience. The platform offers a range of features, including audience segmentation, campaign optimization, and performance tracking. Sojern's AI-powered technology helps businesses make informed decisions about their marketing campaigns and maximize their return on investment.

Sojern is a travel marketing platform that provides solutions for hotels, destinations, attractions, and airlines. It offers a range of features to help businesses target their ideal travelers with unmatched precision and efficiency. Sojern's AI-powered technology helps marketers understand traveler buying behavior, identify and attract intelligent audiences, activate and convert customers across multiple channels, and engage and delight guests throughout their journey. With Sojern, businesses can boost growth and profitability, find and understand unrivaled traveler insights, identify and attract intelligent audiences, activate and convert customers through multichannel activation and optimization, and engage and delight guests with connected guest experiences.

ZBots is an AI chatbot application that offers custom multilingual conversational chatbots for businesses. It provides a platform for engaging, assisting, and converting website visitors in real-time, 24/7, in any language. ZBots are custom-trained on company data, ensuring they align with the brand voice, product details, and business ethos. The application offers features like custom training, sales & product support, 24/7 availability, effortless installation, advanced conversational capabilities, ongoing maintenance, and updates. ZBots aim to boost sales, enhance customer service, save time, and provide a cost-effective solution for businesses.

Token Counter is an AI tool designed to convert text input into tokens for various AI models. It helps users accurately determine the token count and associated costs when working with AI models. By providing insights into tokenization strategies and cost structures, Token Counter streamlines the process of utilizing advanced technologies.

AIConvert is a web-based application that allows users to convert various types of files into different formats. It supports a wide range of file formats, including documents, images, videos, and audio files. AIConvert is easy to use and does not require any software installation. Users simply need to upload the file they want to convert and select the desired output format. AIConvert will then automatically convert the file and provide a download link.

Woy AI Tools is an online tool that offers free image to text conversion with over 99% accuracy and automatic recognition of more than 100 languages. Users can easily upload an image and receive the textual information contained within it. The tool supports multiple languages, prioritizes user privacy and data protection, has a simple and user-friendly interface, and is available for free usage. It utilizes advanced machine learning and OCR technology to continuously optimize recognition algorithms for clear and high-resolution images.

Formularizer is an AI-powered assistant designed to help users with formula-related tasks in spreadsheets like Excel, Google Sheets, and Notion. It provides step-by-step guidance, formula generation, and explanations to simplify complex formula creation and problem-solving. With support for regular expressions, Excel VBA, and Google Apps Script, Formularizer aims to enhance productivity and make data manipulation more accessible.

Formularizer is an AI-powered assistant that helps users create formulas in Excel, Google Sheets, and Notion. It supports a variety of formula types, including Excel, Google Apps Script, and regular expressions. Formularizer can generate formulas from natural language instructions, explain how formulas work, and even help users debug their formulas. It is designed to be user-friendly and accessible to everyone, regardless of their level of expertise.

CodeConvert AI is an online tool that allows users to convert code across 25+ programming languages with a simple click of a button. It offers high-quality code conversion using advanced AI models, eliminating the need for manual rewriting. Users can convert code without the hassle of downloading or installing any software, ensuring privacy and security as the tool does not retain user input or generated output code. CodeConvert AI provides unlimited usage on paid plans and supports a wide range of programming languages, making it a valuable resource for developers looking to save time and effort in code conversion.

This repository contains the code to prepare the data for the Amber 7B language model. The final training data comes from three sources: RedPajama V1, RefinedWeb, and StarCoderData. The data preparation involves downloading untokenized data, tokenizing the data using the Huggingface tokenizer, concatenating tokens into 2048 token sequences, merging datasets, and splitting the merged dataset into 360 chunks. Each tokenized data chunk is a jsonl file containing samples with 2049 tokens. The repository provides scripts for downloading datasets, tokenizing and concatenating sequences, validating data, and merging subsets into chunks.

LLM Foundry is a codebase for training, finetuning, evaluating, and deploying LLMs for inference with Composer and the MosaicML platform. It is designed to be easy-to-use, efficient _and_ flexible, enabling rapid experimentation with the latest techniques. You'll find in this repo: * `llmfoundry/` - source code for models, datasets, callbacks, utilities, etc. * `scripts/` - scripts to run LLM workloads * `data_prep/` - convert text data from original sources to StreamingDataset format * `train/` - train or finetune HuggingFace and MPT models from 125M - 70B parameters * `train/benchmarking` - profile training throughput and MFU * `inference/` - convert models to HuggingFace or ONNX format, and generate responses * `inference/benchmarking` - profile inference latency and throughput * `eval/` - evaluate LLMs on academic (or custom) in-context-learning tasks * `mcli/` - launch any of these workloads using MCLI and the MosaicML platform * `TUTORIAL.md` - a deeper dive into the repo, example workflows, and FAQs

Flyte is an open-source orchestrator that facilitates building production-grade data and ML pipelines. It is built for scalability and reproducibility, leveraging Kubernetes as its underlying platform. With Flyte, user teams can construct pipelines using the Python SDK, and seamlessly deploy them on both cloud and on-premises environments, enabling distributed processing and efficient resource utilization.

PyTorch Forecasting is a PyTorch-based package for time series forecasting with state-of-the-art network architectures. It offers a high-level API for training networks on pandas data frames and utilizes PyTorch Lightning for scalable training on GPUs and CPUs. The package aims to simplify time series forecasting with neural networks by providing a flexible API for professionals and default settings for beginners. It includes a timeseries dataset class, base model class, multiple neural network architectures, multi-horizon timeseries metrics, and hyperparameter tuning with optuna. PyTorch Forecasting is built on pytorch-lightning for easy training on various hardware configurations.

LLMstudio by TensorOps is a platform that offers prompt engineering tools for accessing models from providers like OpenAI, VertexAI, and Bedrock. It provides features such as Python Client Gateway, Prompt Editing UI, History Management, and Context Limit Adaptability. Users can track past runs, log costs and latency, and export history to CSV. The tool also supports automatic switching to larger-context models when needed. Coming soon features include side-by-side comparison of LLMs, automated testing, API key administration, project organization, and resilience against rate limits. LLMstudio aims to streamline prompt engineering, provide execution history tracking, and enable effortless data export, offering an evolving environment for teams to experiment with advanced language models.

ScreenAgent is a project focused on creating an environment for Visual Language Model agents (VLM Agent) to interact with real computer screens. The project includes designing an automatic control process for agents to interact with the environment and complete multi-step tasks. It also involves building the ScreenAgent dataset, which collects screenshots and action sequences for various daily computer tasks. The project provides a controller client code, configuration files, and model training code to enable users to control a desktop with a large model.

Aim is an open-source, self-hosted ML experiment tracking tool designed to handle 10,000s of training runs. Aim provides a performant and beautiful UI for exploring and comparing training runs. Additionally, its SDK enables programmatic access to tracked metadata — perfect for automations and Jupyter Notebook analysis. **Aim's mission is to democratize AI dev tools 🎯**

Lance is a modern columnar data format optimized for ML workflows and datasets. It offers high-performance random access, vector search, zero-copy automatic versioning, and ecosystem integrations with Apache Arrow, Pandas, Polars, and DuckDB. Lance is designed to address the challenges of the ML development cycle, providing a unified data format for collection, exploration, analytics, feature engineering, training, evaluation, deployment, and monitoring. It aims to reduce data silos and streamline the ML development process.

LitData is a tool designed for blazingly fast, distributed streaming of training data from any cloud storage. It allows users to transform and optimize data in cloud storage environments efficiently and intuitively, supporting various data types like images, text, video, audio, geo-spatial, and multimodal data. LitData integrates smoothly with frameworks such as LitGPT and PyTorch, enabling seamless streaming of data to multiple machines. Key features include multi-GPU/multi-node support, easy data mixing, pause & resume functionality, support for profiling, memory footprint reduction, cache size configuration, and on-prem optimizations. The tool also provides benchmarks for measuring streaming speed and conversion efficiency, along with runnable templates for different data types. LitData enables infinite cloud data processing by utilizing the Lightning.ai platform to scale data processing with optimized machines.

This repository contains custom recipes for H2O Driverless AI, which is an Automatic Machine Learning platform for the Enterprise. Custom recipes are Python code snippets that can be uploaded into Driverless AI at runtime to automate feature engineering, model building, visualization, and interpretability. Users can gain control over the optimization choices made by Driverless AI by providing their own custom recipes. The repository includes recipes for various tasks such as data manipulation, data preprocessing, feature selection, data augmentation, model building, scoring, and more. Best practices for creating and using recipes are also provided, including security considerations, performance tips, and safety measures.

The 'create-million-parameter-llm-from-scratch' repository provides a detailed guide on creating a Large Language Model (LLM) with 2.3 million parameters from scratch. The blog replicates the LLaMA approach, incorporating concepts like RMSNorm for pre-normalization, SwiGLU activation function, and Rotary Embeddings. The model is trained on a basic dataset to demonstrate the ease of creating a million-parameter LLM without the need for a high-end GPU.

MME-RealWorld is a benchmark designed to address real-world applications with practical relevance, featuring 13,366 high-resolution images and 29,429 annotations across 43 tasks. It aims to provide substantial recognition challenges and overcome common barriers in existing Multimodal Large Language Model benchmarks, such as small data scale, restricted data quality, and insufficient task difficulty. The dataset offers advantages in data scale, data quality, task difficulty, and real-world utility compared to existing benchmarks. It also includes a Chinese version with additional images and QA pairs focused on Chinese scenarios.

Starwhale is an MLOps/LLMOps platform that brings efficiency and standardization to machine learning operations. It streamlines the model development lifecycle, enabling teams to optimize workflows around key areas like model building, evaluation, release, and fine-tuning. Starwhale abstracts Model, Runtime, and Dataset as first-class citizens, providing tailored capabilities for common workflow scenarios including Models Evaluation, Live Demo, and LLM Fine-tuning. It is an open-source platform designed for clarity and ease of use, empowering developers to build customized MLOps features tailored to their needs.

JavaScript tokenizer for LLaMA 3 designed for client-side use in the browser and Node, with TypeScript support. It accurately calculates token count, has 0 dependencies, optimized running time, and somewhat optimized bundle size. Compatible with most LLaMA 3 models. Can encode and decode text, but training is not supported. Pollutes global namespace with `llama3Tokenizer` in the browser. Mostly compatible with LLaMA 3 models released by Facebook in April 2024. Can be adapted for incompatible models by passing custom vocab and merge data. Handles special tokens and fine tunes. Developed by belladore.ai with contributions from xenova, blaze2004, imoneoi, and ConProgramming.

LeRobot is a state-of-the-art AI library for real-world robotics in PyTorch. It aims to provide models, datasets, and tools to lower the barrier to entry to robotics, focusing on imitation learning and reinforcement learning. LeRobot offers pretrained models, datasets with human-collected demonstrations, and simulation environments. It plans to support real-world robotics on affordable and capable robots. The library hosts pretrained models and datasets on the Hugging Face community page.

CogVideo is an open-source repository that provides pretrained text-to-video models for generating videos based on input text. It includes models like CogVideoX-2B and CogVideo, offering powerful video generation capabilities. The repository offers tools for inference, fine-tuning, and model conversion, along with demos showcasing the model's capabilities through CLI, web UI, and online experiences. CogVideo aims to facilitate the creation of high-quality videos from textual descriptions, catering to a wide range of applications.

MiniCheck is an efficient fact-checking tool designed to verify claims against grounding documents using large language models. It provides a sentence-level fact-checking model that can be used to evaluate the consistency of claims with the provided documents. MiniCheck offers different models, including Bespoke-MiniCheck-7B, which is the state-of-the-art and commercially usable. The tool enables users to fact-check multi-sentence claims by breaking them down into individual sentences for optimal performance. It also supports automatic prefix caching for faster inference when repeatedly fact-checking the same document with different claims.

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. |  |

Assistant for migrating data from Access to SQLite databases.

Expert in data-to-file conversion for GPT Training - Knowledge Nexus now specializes in converting data to the most suitable file format for GPT Knowledge files

A dual-expert in Pydantic V1 and V2, adept at online research for V2.

I help turn text to code. v.014

Extracts JSON from source code using regex.

Convert application descriptions to consumable DB schemas or create-table SQL statements

Professional yet approachable AI for finance and tech assistance.

Advanced File Conversion and Optimization Expert (Version 2.0)

For strategic knowledge distillation, upload the document you need to analyze and use !start. ENSURE the uploaded file shows DOCUMENT and NOT PDF. This workflow requires leveraging RAG to operate. Only a small amount of PDFs are supported, convert to txt or doc. For timeout, refresh & !continue

Medical engineer specializing in HL7/FHIR data conversion.

Analyzes json files into JSONPath Syntax elements

我們經常在看 REST API 參考文件，文件中呈現 Request/Response 參數通常都是用表格的形式，開發人員都要手動轉換成 JSON 結構，有點小麻煩，但透過這個 GPT 只要上傳截圖就可以自動產生 JSON 範例與 JSON Schema 結構。

I extract data and tables from PDFs to CSV, focusing on data privacy and precision.

Generates PyTorch code from neural network images.

text-to-leetspeak converter (for research purposes only)

Send me an image of Math. I will give you the LaTeX code.

Converts multiple citations to a single BibTeX block.

Specialized in converting APIs into OpenAPI Schemas with an educational approach.

Let me help you expand your online presence, attract new customers, and retain them effectively. Here's a structured approach we can take based on the RACE (Reach, Act, Convert, Engage) framework

写真から情報をJSONに変換