Best AI tools for< Work With Large Files >

MacWhisper is a native macOS application that utilizes OpenAI's Whisper technology for transcribing audio files into text. It offers a user-friendly interface for recording, transcribing, and editing audio, making it suitable for various use cases such as transcribing meetings, lectures, interviews, and podcasts. The application is designed to protect user privacy by performing all transcriptions locally on the device, ensuring that no data leaves the user's machine.

YesChat is an AI-driven platform that provides access to a vast array of AI technologies for various needs, including ChatGPT, GPT-4V for text generation and image understanding, Dalle3 for image creation, and Claude for document analysis. With YesChat, users can chat with their files, browse the internet, chat with images, generate images, and access nearly 200,000 GPT models for a wide variety of applications in work, study, and everyday life. YesChat offers 20 free GPT-4V uses per day, and users can subscribe for additional benefits and extended access.

Phenaki is a model capable of generating realistic videos from a sequence of textual prompts. It is particularly challenging to generate videos from text due to the computational cost, limited quantities of high-quality text-video data, and variable length of videos. To address these issues, Phenaki introduces a new causal model for learning video representation, which compresses the video to a small representation of discrete tokens. This tokenizer uses causal attention in time, which allows it to work with variable-length videos. To generate video tokens from text, Phenaki uses a bidirectional masked transformer conditioned on pre-computed text tokens. The generated video tokens are subsequently de-tokenized to create the actual video. To address data issues, Phenaki demonstrates how joint training on a large corpus of image-text pairs as well as a smaller number of video-text examples can result in generalization beyond what is available in the video datasets. Compared to previous video generation methods, Phenaki can generate arbitrarily long videos conditioned on a sequence of prompts (i.e., time-variable text or a story) in an open domain. To the best of our knowledge, this is the first time a paper studies generating videos from time-variable prompts. In addition, the proposed video encoder-decoder outperforms all per-frame baselines currently used in the literature in terms of spatio-temporal quality and the number of tokens per video.

Aider is an AI pair programming tool that allows users to collaborate with Language Model Models (LLMs) to edit code in their local git repository. It supports popular languages like Python, JavaScript, TypeScript, PHP, HTML, and CSS. Aider can handle complex requests, automatically commit changes, and work well in larger codebases by using a map of the entire git repository. Users can edit files while chatting with Aider, add images and URLs to the chat, and even code using their voice. Aider has received positive feedback from users for its productivity-enhancing features and performance on software engineering benchmarks.

Quadratic is an infinite spreadsheet with Python, SQL, and AI. It combines the familiarity of a spreadsheet with the power of code, allowing users to analyze data, write code, and create visualizations in a single environment. With built-in Python library support, users can bring open source tools directly to their spreadsheets. Quadratic also features real-time collaboration, allowing multiple users to work on the same spreadsheet simultaneously. Additionally, Quadratic is built for speed and performance, utilizing Web Assembly and WebGL to deliver a smooth and responsive experience.

AnythingLLM is an all-in-one AI application designed for everyone. It offers a suite of tools for working with LLM (Large Language Models), documents, and agents in a fully private environment. Users can install AnythingLLM on their desktop for Windows, MacOS, and Linux, enabling flexible one-click installation and secure, fully private operation without internet connectivity. The application supports custom models, including enterprise models like GPT-4, custom fine-tuned models, and open-source models like Llama and Mistral. AnythingLLM allows users to work with various document formats, such as PDFs and word documents, providing tailored solutions with locally running defaults for privacy.

AISmartCube is a low-code AI tool that empowers users to build AI tools in hours without the need for coding. It offers work automation through drag-and-drop functionality and a variety of ready-to-use templates. Users can access a wide range of nodes such as LLMs, voice, images, data scraping, and SEO data, as well as global large models like ChatGPT and Claude. The platform also provides diverse plugin integrations and AI assistants to streamline tasks and enhance productivity. With a shared knowledge base, users can stay updated with the latest web content and create their own knowledge base through scraping and uploading. AISmartCube offers flexible pricing with a pay-as-you-go model and a free credit allowance for exploration.

Upstage is an Artificial General Intelligence (AGI) application designed to enhance work productivity by automating simple tasks and providing decision support through generative Business Intelligence (BI) knowledge and numerical understanding. The application offers various features such as Document AI, Solar LLM, and Developers Demo Playground, enabling users to automate tasks, extract key information from documents, and create conversational agents. Upstage aims to streamline workflow automation and improve efficiency in various domains such as healthcare, finance, and law.

Playground AI is a multi-functional AI image generation tool and general purpose AI chatbot that allows you to create incredible AI art and images using Stable Diffusion and chat with different AI language models including ChatGPT, Cohere, and more. Easily create art, use one of our pre-made templates, generate custom art prompts, apply filters, change image sizes and design parameters using one of 10 AI art models based on Stable Diffusion. Chat with different AI large language models to help with getting work done, planning a trip, or having a conversation about something you want to learn more about. Playground AI makes it easy to save and access your past conversation histories or the art you created. With one click you can share online, copy and paste, and favorite conversations.

ThirdAI is a production-ready AI platform designed for enterprises, offering out-of-the-box solutions that work at scale with 10x better price performance. It provides enterprise-grade productivity tools like document search & retrieval, content creation, FAQ bots, customer live support, hyper-personalization, risk & compliance, fraud detection, anomaly detection, and PII/sensitive data redaction. The platform allows users to bring their business problems, apply on their data, and compose AI applications without the need for extensive POC cycles or manual fine-tuning. ThirdAI focuses on low latency, security, scalability, and performance, enabling business leaders to solve critical needs in weeks, not months or years.

AIgentor is a free AI generator and character platform that allows users to chat with realistic AI characters from books, movies, games, or personal favorites. Users can enjoy all AI tools for free without any subscription plan, with a simple start that requires no login. The platform offers powerful integration with the latest large language models and features various AI characters like Pet Food Taster, Professional Line Sitter, Professional Mermaid Performer, Underwater Delivery, Japanese Tea Ceremony Master, Kid-Friendly Explainer, Carpenter, Drama Teacher, British Literature Teacher, and Hypnotherapist. Users can also learn how to use AI tools, gain prompt skills, and improve work efficiency.

Plandex is an open-source, terminal-based AI coding engine that assists developers in completing complex programming tasks, handling problematic output, and enhancing productivity. It is designed to simplify software development by leveraging AI capabilities.

BrainChat is an AI application that enables teams to utilize ChatGPT and other Large Language Models (LLMs) in a structured, secure, and collaborative manner for work purposes. It offers organized and collaborative chats, tailored AI assistants for various job roles, private and safe infrastructure, multiple LLM options, and cost-efficient pricing compared to ChatGPT Team. BrainChat allows users to import chats from ChatGPT, offers real-time collaboration, and ensures data security and GDPR compliance.

Notion is a connected workspace that combines wikis, docs, projects, and calendars into a single platform. It is designed to be simple and powerful, with a focus on collaboration and organization. Notion's AI assistant can help you with a variety of tasks, such as answering questions, generating text, and translating languages. With its powerful building blocks, you can customize Notion to fit your specific needs and workflows. Notion is used by millions of people around the world, from individuals and small businesses to large enterprises.

The Code Generator for Arduino is an AI-powered tool that allows users to generate code for Arduino projects effortlessly. It leverages GPT-3.5-turbo, OpenAI's large-scale language-generation model, to create code that must be reviewed before uploading to hardware devices. The website provides a user-friendly interface for generating Arduino code, ensuring a seamless experience for both beginners and experienced developers.

Odyssey is a native Mac application designed for creating remarkable art, completing tasks efficiently, and automating repetitive tasks using AI and cutting-edge machine-learning models without the need for coding. It serves as an all-purpose tool for creators, students, educators, artists, marketers, photographers, AI hobbyists, developers, interior designers, and data analysts. Odyssey offers features like image generation and processing, stable diffusion models, controlNet support, super-resolution upscaling, background removal, image transitions, large language models, math equations, automation and batch workflows, private and secure processing, custom workflows, and more. It is a versatile tool that simplifies various tasks across different fields.

Entry Point AI is a modern AI optimization platform for fine-tuning proprietary and open-source language models. It provides a user-friendly interface to manage prompts, fine-tunes, and evaluations in one place. The platform enables users to optimize models from leading providers, train across providers, work collaboratively, write templates, import/export data, share models, and avoid common pitfalls associated with fine-tuning. Entry Point AI simplifies the fine-tuning process, making it accessible to users without the need for extensive data, infrastructure, or insider knowledge.

The Media Copilot is an AI tool that offers content, courses, and consulting services on how newsrooms, agencies, and other content-based organizations can integrate generative AI into their work. They provide training on using AI for content creation, offer courses for individuals and teams, and help build organizations' AI roadmap. The tool also provides public speaking services and sponsorships for reaching a large audience of media executives, journalists, PR professionals, and creatives.

Demand.io is a network of AI-driven, community-centric e-commerce applications that create social shopping experiences powered by artificial intelligence. The platform aims to help consumers shop smarter, save money, and connect with their passions by curating accurate e-commerce knowledge and delivering it through digital consumer apps and AI experiences. Demand.io leverages AI, decentralized community principles, and advanced engineering to solve complex problems and provide differentiated user value in the evolving landscape of e-commerce.

Imagen is an AI application that leverages text-to-image diffusion models to create photorealistic images based on input text. The application utilizes large transformer language models for text understanding and diffusion models for high-fidelity image generation. Imagen has achieved state-of-the-art results in terms of image fidelity and alignment with text. The application is part of Google Research's text-to-image work and focuses on encoding text for image synthesis effectively.

The 'Generative AI' repository provides a C# library for interacting with Google's Generative AI models, specifically the Gemini models. It allows users to access and integrate the Gemini API into .NET applications, supporting functionalities such as listing available models, generating content, creating tuned models, working with large files, starting chat sessions, and more. The repository also includes helper classes and enums for Gemini API aspects. Authentication methods include API key, OAuth, and various authentication modes for Google AI and Vertex AI. The package offers features for both Google AI Studio and Google Cloud Vertex AI, with detailed instructions on installation, usage, and troubleshooting.

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.

The Mistral Python Client is a tool inspired by cohere-python that allows users to interact with the Mistral AI API. It provides functionalities to access and utilize the AI capabilities offered by Mistral. Users can easily install the client using pip and manage dependencies using poetry. The client includes examples demonstrating how to use the API for various tasks, such as chat interactions. To get started, users need to obtain a Mistral API Key and set it as an environment variable. Overall, the Mistral Python Client simplifies the integration of Mistral AI services into Python applications.

LLMFarm is an iOS and MacOS app designed to work with large language models (LLM). It allows users to load different LLMs with specific parameters, test the performance of various LLMs on iOS and macOS, and identify the most suitable model for their projects. The tool is based on ggml and llama.cpp by Georgi Gerganov and incorporates sources from rwkv.cpp by saharNooby, Mia by byroneverson, and LlamaChat by alexrozanski. LLMFarm features support for MacOS (13+) and iOS (16+), various inferences and sampling methods, Metal compatibility (not supported on Intel Mac), model setting templates, LoRA adapters support, LoRA finetune support, LoRA export as model support, and more. It also offers a range of inferences including LLaMA, GPTNeoX, Replit, GPT2, Starcoder, RWKV, Falcon, MPT, Bloom, and others. Additionally, it supports multimodal models like LLaVA, Obsidian, and MobileVLM. Users can customize inference options through JSON files and access supported models for download.

Aider is an AI pair programming tool that allows users to collaborate with large language models (LLMs) to edit code in their local git repository. It works best with GPT-4o & Claude 3.5 Sonnet and can connect to almost any LLM. Users can run Aider with specific files, request changes, add new features or test cases, describe bugs, refactor code, update docs, and more. Aider automatically commits changes with sensible messages, supports multiple programming languages, and can handle complex requests by editing multiple files at once. It uses a map of the entire git repo for efficient performance in larger codebases. Users can chat with Aider, add images, URLs, and even code with their voice. Aider has achieved top scores on SWE Bench, solving real GitHub issues from popular open source projects like django, scikitlearn, matplotlib, etc.

gollm is a Go package designed to simplify interactions with Large Language Models (LLMs) for AI engineers and developers. It offers a unified API for multiple LLM providers, easy provider and model switching, flexible configuration options, advanced prompt engineering, prompt optimization, memory retention, structured output and validation, provider comparison tools, high-level AI functions, robust error handling and retries, and extensible architecture. The package enables users to create AI-powered golems for tasks like content creation workflows, complex reasoning tasks, structured data generation, model performance analysis, prompt optimization, and creating a mixture of agents.

LLMOps Duke AIPI is a course focused on operationalizing Large Language Models, teaching methodologies for developing applications using software development best practices with large language models. The course covers various topics such as generative AI concepts, setting up development environments, interacting with large language models, using local large language models, applied solutions with LLMs, extensibility using plugins and functions, retrieval augmented generation, introduction to Python web frameworks for APIs, DevOps principles, deploying machine learning APIs, LLM platforms, and final presentations. Students will learn to build, share, and present portfolios using Github, YouTube, and Linkedin, as well as develop non-linear life-long learning skills. Prerequisites include basic Linux and programming skills, with coursework available in Python or Rust. Additional resources and references are provided for further learning and exploration.

PatchWork is an open-source framework designed for automating development tasks using large language models. It enables users to automate workflows such as PR reviews, bug fixing, security patching, and more through a self-hosted CLI agent and preferred LLMs. The framework consists of reusable atomic actions called Steps, customizable LLM prompts known as Prompt Templates, and LLM-assisted automations called Patchflows. Users can run Patchflows locally in their CLI/IDE or as part of CI/CD pipelines. PatchWork offers predefined patchflows like AutoFix, PRReview, GenerateREADME, DependencyUpgrade, and ResolveIssue, with the flexibility to create custom patchflows. Prompt templates are used to pass queries to LLMs and can be customized. Contributions to new patchflows, steps, and the core framework are encouraged, with chat assistants available to aid in the process. The roadmap includes expanding the patchflow library, introducing a debugger and validation module, supporting large-scale code embeddings, parallelization, fine-tuned models, and an open-source GUI. PatchWork is licensed under AGPL-3.0 terms, while custom patchflows and steps can be shared using the Apache-2.0 licensed patchwork template repository.

Txtai is an all-in-one embeddings database for semantic search, LLM orchestration, and language model workflows. It combines vector indexes, graph networks, and relational databases to enable vector search with SQL, topic modeling, retrieval augmented generation, and more. Txtai can stand alone or serve as a knowledge source for large language models (LLMs). Key features include vector search with SQL, object storage, topic modeling, graph analysis, multimodal indexing, embedding creation for various data types, pipelines powered by language models, workflows to connect pipelines, and support for Python, JavaScript, Java, Rust, and Go. Txtai is open-source under the Apache 2.0 license.

The 'nlp-llms-resources' repository is a comprehensive resource list for Natural Language Processing (NLP) and Large Language Models (LLMs). It covers a wide range of topics including traditional NLP datasets, data acquisition, libraries for NLP, neural networks, sentiment analysis, optical character recognition, information extraction, semantics, topic modeling, multilingual NLP, domain-specific LLMs, vector databases, ethics, costing, books, courses, surveys, aggregators, newsletters, papers, conferences, and societies. The repository provides valuable information and resources for individuals interested in NLP and LLMs.

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