Best AI tools for< Split On Word >

LightPDF is an AI-powered, free online PDF editor, converter, and reader. It offers a wide range of PDF tools, including the ability to convert PDFs to and from other formats, edit PDFs, add watermarks, split and merge PDFs, rotate PDFs, annotate PDFs, optimize PDFs, compress PDFs, perform OCR on PDFs, and protect PDFs. LightPDF also offers a variety of AI-powered features, such as an AI chatbot that can answer questions about documents and an AI-powered OCR engine that can convert scanned PDFs and images to text.

SendEngage is a B2B cold email platform that uses AI to read, categorize and route interested replies directly to your sales team, at any scale. It offers features such as unlimited inbox rotation, message variation split testing, automated follow-ups, open/reply/sentiment tracking, and AI reply management. With SendEngage, businesses can create high converting, automated email campaigns, manage replies and engage with interested prospects, and hand off interested leads directly to sales reps' main inboxes and map to CRM records.

GitBrain is an AI-powered Git client designed specifically for Mac users. It simplifies the Git workflow by offering features such as AI commit messages, code splitting, self-code review, auto-detection of projects from favorite IDEs, and a keyboard-friendly design. The application aims to enhance developers' productivity by automating repetitive tasks and providing a seamless Git management experience on the Mac platform.

LALAL.AI is a next-generation AI-powered vocal remover and music source separation service that offers fast, easy, and precise stem extraction. It allows users to remove vocals, instrumental tracks, drums, bass, guitar, and more from audio and video files without compromising quality. The platform leverages advanced AI technology to provide high-quality stem splitting based on transformer-based audio separation approach, ensuring seamless integration and cross-platform support for individuals and businesses.

Gaudio Studio is an AI music separation tool designed for creators to unleash their creativity with ease. It allows users to extract background music, separate instruments, and remove vocals from any music content. Powered by GSEP (Gaudio source SEParation), a high-quality and easy-to-use AI stem separation model, Gaudio Studio offers a seamless experience for audio separation. Users can upload their songs in various formats, access the tool from desktop or mobile devices, and enjoy Studio Plans for advanced processing. Additionally, Gaudio Studio can be integrated with cloud APIs and On-device SDKs for business applications, offering a versatile solution for music professionals and enthusiasts.

Music Demixer is an AI-powered online tool that offers advanced stem separation and automatic music transcription capabilities. Users can effortlessly isolate vocals, drums, bass, melody, guitar, and piano in their music tracks, generate precise MIDI files, scores, and sheet music. The tool is perfect for musicians, DJs, producers, and creators looking for a simple and superior solution for music editing and transcription. With a focus on privacy, Music Demixer operates entirely in the browser without cloud storage. It leverages cutting-edge AI models and technologies from the Sony Music Demixing Challenges to provide high-quality results.

AdCopy is an AI-powered advertising platform that helps businesses create high-quality ads and optimize their ad campaigns. The platform uses AI to generate ad copy, create ad creatives, and provide insights into ad performance. AdCopy is designed to help businesses save time and money on their advertising campaigns, while also improving their results.

StemRoller is an AI-powered application that allows users to create stems, instrumental, or acapella versions of any song. Users can simply type the name of a song into the search bar, and StemRoller will find the song online and split it into vocals, drums, bass, and other stems. Additionally, an instrumental track is created with all non-vocal stems mixed down into one track. StemRoller is free and open-source, utilizing Facebook's advanced AI and machine learning research project Demucs. Users can also donate to support the app and receive assistance on Discord for any issues or questions.

**万兴科技** is an AI-powered tool that helps users create and edit PDF documents. It offers a wide range of features, including the ability to convert PDFs to other formats, edit text and images, and add annotations. **万兴科技** is a valuable tool for anyone who needs to work with PDFs on a regular basis.

Kamara is an AI-powered coder that functions as a VS Code extension. It adapts to your codebase, effortlessly implementing features across multiple files. Kamara works best with short files and specific implementation ideas. It uses a credit-based system for payment, where users pay for the code read and written. The team actively working on Kamara includes Gonza Nardini and Diego Vazquez. Users can provide feedback and join the Discord server for support.

Tablesmith is a free, privacy-first, and intuitive spreadsheet automation tool that allows users to build reusable data flows, effortlessly sort, filter, group, format, or split data across files/sheets based on cell values. It is designed to be easy to learn and use, with a focus on privacy and cross-platform compatibility. Tablesmith also offers an AI autofill feature that suggests and fills in information based on the user's prompt.

Videolulu is an AI-powered tool that enables users to generate faceless videos on autopilot. It allows users to turn their ideas into viral shorts in minutes by creating engaging content in popular formats for platforms like TikTok, Instagram, and YouTube. With a simple 4-step process, users can choose a video type, select a voice from a variety of AI voices, add background music, and select a video format using AI images, stock videos, or split screens. Videolulu offers different pricing plans to suit varying needs, from a free plan with limited features to premium plans with more credits and options.

SecondSoul is an AI platform that enables users to create their AI clone for engaging 24/7 conversations on Telegram. It allows users to customize their AI clone with unique traits, voice, and train it to mimic their style. The platform offers a straightforward pricing model with a revenue split, where creators earn 80% of the messages fee from users of their clone. SecondSoul aims to enhance user experience, provide companionship, and monetize community interactions through AI technology.

SigmaOS is a revolutionary AI-powered browser application that offers a fresh and organized browsing experience. It features innovative tools such as Workspaces for tab organization, Vertical tabs for task management, Split Screen for multitasking, Lazy Search for quick searches, and Ask Anything for contextual information retrieval. With advantages like ad-free browsing, focus mode, easy migration, and community support, SigmaOS aims to simplify and enhance users' internet interactions. However, it has limitations such as being available only on macOS and lacking support for Windows. SigmaOS leverages AI technology, including the A1Kit browser engine, to provide intelligent assistance and streamline daily tasks.

Rapid Muscle is a science-powered hypertrophy workout generator that offers a cutting-edge platform to accelerate muscle growth. It provides tools like the Hypertrophy Split Generator and Workout Tracker to optimize exercise selection, sequencing, and volume for physique development. The upcoming AI Personal Trainer chatbot enhances user experience by providing expert advice on training-related queries. Rapid Muscle aims to revolutionize hypertrophy programming by offering evidence-based solutions and eliminating contradictory influencer advice.

Luma Dream Machine is a cutting-edge AI tool that empowers users to ideate, visualize, and create stunning images and videos effortlessly. It offers a new fluid medium for creativity, enabling users to bring their wildest dreams to life with the help of powerful image and video AI models. The platform is designed to be intuitive and user-friendly, allowing users to explore endless ideas, make unique creations, and share their vision with the world. Luma Dream Machine is available on iOS and the Web, providing a seamless experience for creators of all levels.

Luma AI is a 3D capture platform that allows users to create interactive 3D scenes from videos. With Luma AI, users can capture 3D models of people, objects, and environments, and then use those models to create interactive experiences such as virtual tours, product demonstrations, and training simulations.

BigShort is a real-time stock charting platform designed for day traders and swing traders. It offers a variety of features to help traders make informed decisions, including SmartFlow, which visualizes real-time covert Smart Money activity, and OptionFlow, which shows option blocks, sweeps, and splits in real-time. BigShort also provides backtested and forward-tested leading indicators, as well as live data for all NYSE and Nasdaq tickers.

ATS Wins is a dynamic sports analysis platform that offers expert betting advice and predictions across various sports. The platform utilizes advanced AI algorithms and expert insights to help sports enthusiasts make well-informed betting decisions. ATS Wins stands out by providing data-driven predictions based on factors like injuries, team form, standings, and more. Additionally, the platform offers sportsbook average odds, public betting splits, and transparent winning percentages. Users can access real-time updates and a range of subscription plans for comprehensive sports coverage.

MJSplitter is a free online tool that allows users to split their Midjourney Grid images into single images. Users can either paste or upload their image grid, and the tool will automatically split the images and save them as JPEGs. The tool is not affiliated with Midjourney, and images are deleted from the server after 24 hours.

Node.js bindings for OpenAI's Whisper model that automatically converts audio to WAV format with a 16000 Hz frequency to support the whisper model. It outputs transcripts to various formats, is optimized for CPU including Apple Silicon ARM, provides timestamp precision to single word, allows splitting on word rather than token, translation from source language to English, and conversion of audio format to WAV for whisper model support.

WordLlama is a fast, lightweight NLP toolkit optimized for CPU hardware. It recycles components from large language models to create efficient word representations. It offers features like Matryoshka Representations, low resource requirements, binarization, and numpy-only inference. The tool is suitable for tasks like semantic matching, fuzzy deduplication, ranking, and clustering, making it a good option for NLP-lite tasks and exploratory analysis.

Chonkie is a lightweight and fast RAG chunking library designed to efficiently split text for RAG (Retrieval-Augmented Generation) applications. It offers various chunking methods like TokenChunker, WordChunker, SentenceChunker, SemanticChunker, SDPMChunker, and an experimental LateChunker. Chonkie is feature-rich, easy to use, fast, supports multiple tokenizers, and comes with a cute pygmy hippo mascot. It aims to provide a no-nonsense solution for chunking text without the need to worry about dependencies or bloat.

AI Chunking is a powerful Python library for semantic document chunking and enrichment using AI. It provides intelligent document chunking capabilities with various strategies to split text while preserving semantic meaning, particularly useful for processing markdown documentation. The library offers multiple chunking strategies such as Recursive Text Splitting, Section-based Semantic Chunking, and Base Chunking. Users can configure chunk sizes, overlap, and support various text formats. The tool is easy to extend with custom chunking strategies, making it versatile for different document processing needs.

Voice Chat AI is a project that allows users to interact with different AI characters using speech. Users can choose from various characters with unique personalities and voices, and have conversations or role play with them. The project supports OpenAI, xAI, or Ollama language models for chat, and provides text-to-speech synthesis using XTTS, OpenAI TTS, or ElevenLabs. Users can seamlessly integrate visual context into conversations by having the AI analyze their screen. The project offers easy configuration through environment variables and can be run via WebUI or Terminal. It also includes a huge selection of built-in characters for engaging conversations.

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.

WDoc is a powerful Retrieval-Augmented Generation (RAG) system designed to summarize, search, and query documents across various file types. It supports querying tens of thousands of documents simultaneously, offers tailored summaries to efficiently manage large amounts of information, and includes features like supporting multiple file types, various LLMs, local and private LLMs, advanced RAG capabilities, advanced summaries, trust verification, markdown formatted answers, sophisticated embeddings, extensive documentation, scriptability, type checking, lazy imports, caching, fast processing, shell autocompletion, notification callbacks, and more. WDoc is ideal for researchers, students, and professionals dealing with extensive information sources.

wdoc is a powerful Retrieval-Augmented Generation (RAG) system designed to summarize, search, and query documents across various file types. It aims to handle large volumes of diverse document types, making it ideal for researchers, students, and professionals dealing with extensive information sources. wdoc uses LangChain to process and analyze documents, supporting tens of thousands of documents simultaneously. The system includes features like high recall and specificity, support for various Language Model Models (LLMs), advanced RAG capabilities, advanced document summaries, and support for multiple tasks. It offers markdown-formatted answers and summaries, customizable embeddings, extensive documentation, scriptability, and runtime type checking. wdoc is suitable for power users seeking document querying capabilities and AI-powered document summaries.

The 'llms' repository is a comprehensive guide on Large Language Models (LLMs), covering topics such as language modeling, applications of LLMs, statistical language modeling, neural language models, conditional language models, evaluation methods, transformer-based language models, practical LLMs like GPT and BERT, prompt engineering, fine-tuning LLMs, retrieval augmented generation, AI agents, and LLMs for computer vision. The repository provides detailed explanations, examples, and tools for working with LLMs.

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.

The Keras-llm-robot Web UI project is an open-source tool designed for offline deployment and testing of various open-source models from the Hugging Face website. It allows users to combine multiple models through configuration to achieve functionalities like multimodal, RAG, Agent, and more. The project consists of three main interfaces: chat interface for language models, configuration interface for loading models, and tools & agent interface for auxiliary models. Users can interact with the language model through text, voice, and image inputs, and the tool supports features like model loading, quantization, fine-tuning, role-playing, code interpretation, speech recognition, image recognition, network search engine, and function calling.

llm.nvim is a universal plugin for a large language model (LLM) designed to enable users to interact with LLM within neovim. Users can customize various LLMs such as gpt, glm, kimi, and local LLM. The plugin provides tools for optimizing code, comparing code, translating text, and more. It also supports integration with free models from Cloudflare, Github models, siliconflow, and others. Users can customize tools, chat with LLM, quickly translate text, and explain code snippets. The plugin offers a flexible window interface for easy interaction and customization.

SimplerLLM is an open-source Python library that simplifies interactions with Large Language Models (LLMs) for researchers and beginners. It provides a unified interface for different LLM providers, tools for enhancing language model capabilities, and easy development of AI-powered tools and apps. The library offers features like unified LLM interface, generic text loader, RapidAPI connector, SERP integration, prompt template builder, and more. Users can easily set up environment variables, create LLM instances, use tools like SERP, generic text loader, calling RapidAPI APIs, and prompt template builder. Additionally, the library includes chunking functions to split texts into manageable chunks based on different criteria. Future updates will bring more tools, interactions with local LLMs, prompt optimization, response evaluation, GPT Trainer, document chunker, advanced document loader, integration with more providers, Simple RAG with SimplerVectors, integration with vector databases, agent builder, and LLM server.

Notes on AI state of the art, with a focus on generative and large language models. These are the "raw materials" for the https://lspace.swyx.io/ newsletter. This repo used to be called https://github.com/sw-yx/prompt-eng, but was renamed because Prompt Engineering is Overhyped. This is now an AI Engineering notes repo.

Awesome Khmer Language is a comprehensive collection of resources for the Khmer language, including tools, datasets, research papers, projects/models, blogs/slides, and miscellaneous items. It covers a wide range of topics related to Khmer language processing, such as character normalization, word segmentation, part-of-speech tagging, optical character recognition, text-to-speech, and more. The repository aims to support the development of natural language processing applications for the Khmer language by providing a diverse set of resources and tools for researchers and developers.

This project focuses on implementing Sparse Autoencoders (SAEs) for mechanistic interpretability in Large Language Models (LLMs) like Llama 3.2-3B. The SAEs aim to untangle superimposed representations in LLMs into separate, interpretable features for each neuron activation. The project provides an end-to-end pipeline for capturing training data, training the SAEs, analyzing learned features, and verifying results experimentally. It includes comprehensive logging, visualization, and checkpointing of SAE training, interpretability analysis tools, and a pure PyTorch implementation of Llama 3.1/3.2 chat and text completion. The project is designed for scalability, efficiency, and maintainability.

RayLLM (formerly known as Aviary) is an LLM serving solution that makes it easy to deploy and manage a variety of open source LLMs, built on Ray Serve. It provides an extensive suite of pre-configured open source LLMs, with defaults that work out of the box. RayLLM supports Transformer models hosted on Hugging Face Hub or present on local disk. It simplifies the deployment of multiple LLMs, the addition of new LLMs, and offers unique autoscaling support, including scale-to-zero. RayLLM fully supports multi-GPU & multi-node model deployments and offers high performance features like continuous batching, quantization and streaming. It provides a REST API that is similar to OpenAI's to make it easy to migrate and cross test them. RayLLM supports multiple LLM backends out of the box, including vLLM and TensorRT-LLM.

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.

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Provides running splits for Strava Routes, accounting for distance and elevation changes