Best AI tools for< Understand Llms >
20 - AI tool Sites
Essential
Essential is an open-source macOS app that acts as a co-pilot for your screen. It uses computer vision and OpenAI's LLMs to understand what's on your screen and can help you troubleshoot any error messages you run into. Essential can also remember important information from your screen, such as code snippets or website URLs, and make them easily accessible later. All of this happens entirely on your Mac, with no data ever leaving your system.
LLM Clash
LLM Clash is a web-based application that allows users to compare the outputs of different large language models (LLMs) on a given task. Users can input a prompt and select which LLMs they want to compare. The application will then display the outputs of the LLMs side-by-side, allowing users to compare their strengths and weaknesses.
Code Snippets AI
Code Snippets AI is an AI-powered code snippets library for teams. It helps developers master their codebase with contextually-rich AI chats, integrated with a secure code snippets library. Developers can build new features, fix bugs, add comments, and understand their codebase with the help of Code Snippets AI. The tool is trusted by the best development teams and helps developers code smarter than ever. With Code Snippets AI, developers can leverage the power of a codebase aware assistant, helping them write clean, performance optimized code. They can also create documentation, refactor, debug and generate code with full codebase context. This helps developers spend more time creating code and less time debugging errors.
Imandra
Imandra is a company that provides automated logical reasoning for Large Language Models (LLMs). Imandra's technology allows LLMs to build mental models and reason about them, unlocking the potential of generative AI for industries where correctness and compliance matter. Imandra's platform is used by leading financial firms, the US Air Force, and DARPA.
Devika AI
Devika AI is an open-source AI software engineer that can understand high-level human instructions, break them down into steps, research relevant information, and generate code for particular tasks. It uses Claude 3, GPT-4, GPT-3.5, and Local LLMs via Ollama.
SpeedLegal
SpeedLegal is a technological startup that uses Machine Learning technology (specifically Deep Learning, LLMs and genAI) to highlight the terms and the key risks of any contract. We analyze your documents and send you a simplified report so you can make a more informed decision before signing your name on the dotted line.
Macro
Macro is a cloud AI workspace that combines document editing, file storage, collaboration, and LLMs. Users can instantly understand any content by clicking or highlighting it to see the meaning from the document or the platform's general knowledge. It simplifies tasks like reading financial documents, legal contracts, and academic papers. Macro offers a cloud OS built around LLMs, with different storage and AI compute options available for users. The platform is designed to help users analyze, edit, and collaborate on documents efficiently using AI technology.
Tune Chat
Tune Chat is a chat application that utilizes open-source Large Language Models (LLMs) to provide users with a conversational and informative experience. It is designed to understand and respond to a wide range of user queries, offering assistance with various tasks and engaging in natural language conversations.
Prompt Engineering
Prompt Engineering is a discipline focused on developing and optimizing prompts to efficiently utilize language models (LMs) for various applications and research topics. It involves skills to understand the capabilities and limitations of large language models, improving their performance on tasks like question answering and arithmetic reasoning. Prompt engineering is essential for designing robust prompting techniques that interact with LLMs and other tools, enhancing safety and building new capabilities by augmenting LLMs with domain knowledge and external tools.
Refact.ai
Refact.ai is an open-source AI coding assistant that offers a range of features including code completion, refactoring, and chat. It supports various LLMs such as GPT-4 and Code LLama, allowing users to choose the model that best suits their needs. Refact understands the context of the codebase using a fill-in-the-middle technique, providing relevant suggestions. Users can opt for a self-hosted version or adjust privacy settings for the plugin.
xAI Grok
xAI Grok is a visual analytics platform that helps users understand and interpret machine learning models. It provides a variety of tools for visualizing and exploring model data, including interactive charts, graphs, and tables. xAI Grok also includes a library of pre-built visualizations that can be used to quickly get started with model analysis.
Brandwatch
Brandwatch is a social media management and analytics platform that helps businesses understand and engage with their customers. It offers a range of features, including social listening, influencer marketing, and content management. Brandwatch is used by some of the world's largest brands, including Virgin Holidays, OnePlus, and Metia.
Sourcegraph
Sourcegraph is a code intelligence platform that helps developers write, fix, and maintain code faster. It uses artificial intelligence to understand the code graph and provide insights that help developers focus on writing and shipping code. Sourcegraph is used by over 2.5 million engineers at companies like Google, Amazon, and Microsoft.
Digimind
Digimind is an intelligence software platform that provides solutions for brand reputation, competitive intelligence, consumer insights, influencer identification, trend tracking, and campaign analysis. It leverages Artificial Intelligence (AI) to collect and analyze billions of content pieces, offering real-time market intelligence and helping users fully understand consumer insights and market trends. The platform is trusted by global brands and agencies, offering easy-to-read, up-to-date analysis and reports. Digimind's AI Sense technology provides automated curation and recommended actions, delivering compelling reports instantly.
InstantPersonas
InstantPersonas is an AI-powered tool that allows users to generate detailed user personas in seconds. It helps marketers and business owners understand their audience better by providing real-time insights into the thoughts of their audience. With InstantPersonas, users can create persona-driven content that resonates with their target audience, ultimately improving their content creation process and marketing strategies. The tool offers industry-leading AI capabilities at an affordable price, making it a valuable asset for businesses looking to enhance their marketing efforts.
PandaChat
PandaChat is a suite of AI-powered products designed to enhance productivity and streamline communication. It offers a range of tools for both personal and business use, including: - PandaChat Assistant: A virtual assistant that can chat with users, summarize articles, and answer questions based on uploaded documents or online content. - PandaChat Live: A platform for embedding chatbots on websites, providing personalized support and enhancing user experience. - Hai News: An AI tool that allows users to chat with news articles, providing summaries and insights on specific topics. - Hai Surf: An AI tool that enables users to chat with any web content, extracting information and answering questions. PandaChat is committed to data security and privacy, giving users control over their data and offering on-premises installation for businesses. It has been recognized for its innovation, winning the AI/Machine Learning Innovation of the Year award at the SDC Awards.
Opnbx
Opnbx is a bespoke revenue operating platform that helps sales teams understand their target market and prioritize their sales and marketing efforts. It uses AI to learn from a company's revenue team and scour billions of data points to give a real-time view of the market. Opnbx also provides insights into which companies are in buying mode right now and which prospects are visiting a company's website in real-time. It provides persona and contact details, including mobile numbers and email addresses, and has an AI email writing platform that provides the right research to create personalized and relevant messages in seconds.
Theodore AI
Theodore AI is an AI-powered tool that helps users understand complex topics quickly and easily. With just three clicks, users can get a clear and concise explanation of any topic, making it perfect for students, researchers, and anyone who wants to learn something new.
SiteExplainer
SiteExplainer is an AI-powered web application that helps users understand the purpose of any website quickly and accurately. It uses advanced artificial intelligence and machine learning technology to analyze the content of a website and present a summary of the main ideas and key points. SiteExplainer simplifies the language used on landing pages and eliminates corporate jargon to help visitors better understand a website's content.
Menu Mystic
Menu Mystic is an AI-powered tool designed to help users understand and navigate restaurant menus with ease. By simply scanning a menu, users can access detailed explanations for each dish, along with wine and dessert pairing recommendations. The tool utilizes advanced AI and image recognition technology to enhance the dining experience and empower users to make informed choices when dining out.
20 - Open Source AI Tools
femtoGPT
femtoGPT is a pure Rust implementation of a minimal Generative Pretrained Transformer. It can be used for both inference and training of GPT-style language models using CPUs and GPUs. The tool is implemented from scratch, including tensor processing logic and training/inference code of a minimal GPT architecture. It is a great start for those fascinated by LLMs and wanting to understand how these models work at deep levels. The tool uses random generation libraries, data-serialization libraries, and a parallel computing library. It is relatively fast on CPU and correctness of gradients is checked using the gradient-check method.
generative_ai_with_langchain
Generative AI with LangChain is a code repository for building large language model (LLM) apps with Python, ChatGPT, and other LLMs. The repository provides code examples, instructions, and configurations for creating generative AI applications using the LangChain framework. It covers topics such as setting up the development environment, installing dependencies with Conda or Pip, using Docker for environment setup, and setting API keys securely. The repository also emphasizes stability, code updates, and user engagement through issue reporting and feedback. It aims to empower users to leverage generative AI technologies for tasks like building chatbots, question-answering systems, software development aids, and data analysis applications.
LLM-workshop-2024
LLM-workshop-2024 is a tutorial designed for coders interested in understanding the building blocks of large language models (LLMs), how LLMs work, and how to code them from scratch in PyTorch. The tutorial covers topics such as introduction to LLMs, understanding LLM input data, coding LLM architecture, pretraining LLMs, loading pretrained weights, and finetuning LLMs using open-source libraries. Participants will learn to implement a small GPT-like LLM, including data input pipeline, core architecture components, and pretraining code.
llms-txt
The llms-txt repository proposes a standardization on using an `/llms.txt` file to provide information to help large language models (LLMs) use a website at inference time. The `llms.txt` file is a markdown file that offers brief background information, guidance, and links to more detailed information in markdown files. It aims to provide concise and structured information for LLMs to access easily, helping users interact with websites via AI helpers. The repository also includes tools like a CLI and Python module for parsing `llms.txt` files and generating LLM context from them, along with a sample JavaScript implementation. The proposal suggests adding clean markdown versions of web pages alongside the original HTML pages to facilitate LLM readability and access to essential information.
interpret
InterpretML is an open-source package that incorporates state-of-the-art machine learning interpretability techniques under one roof. With this package, you can train interpretable glassbox models and explain blackbox systems. InterpretML helps you understand your model's global behavior, or understand the reasons behind individual predictions. Interpretability is essential for: - Model debugging - Why did my model make this mistake? - Feature Engineering - How can I improve my model? - Detecting fairness issues - Does my model discriminate? - Human-AI cooperation - How can I understand and trust the model's decisions? - Regulatory compliance - Does my model satisfy legal requirements? - High-risk applications - Healthcare, finance, judicial, ...
intro-llm-rag
This repository serves as a comprehensive guide for technical teams interested in developing conversational AI solutions using Retrieval-Augmented Generation (RAG) techniques. It covers theoretical knowledge and practical code implementations, making it suitable for individuals with a basic technical background. The content includes information on large language models (LLMs), transformers, prompt engineering, embeddings, vector stores, and various other key concepts related to conversational AI. The repository also provides hands-on examples for two different use cases, along with implementation details and performance analysis.
Awesome-LLM4RS-Papers
This paper list is about Large Language Model-enhanced Recommender System. It also contains some related works. Keywords: recommendation system, large language models
Recommendation-Systems-without-Explicit-ID-Features-A-Literature-Review
This repository is a collection of papers and resources related to recommendation systems, focusing on foundation models, transferable recommender systems, large language models, and multimodal recommender systems. It explores questions such as the necessity of ID embeddings, the shift from matching to generating paradigms, and the future of multimodal recommender systems. The papers cover various aspects of recommendation systems, including pretraining, user representation, dataset benchmarks, and evaluation methods. The repository aims to provide insights and advancements in the field of recommendation systems through literature reviews, surveys, and empirical studies.
llm-colosseum
llm-colosseum is a tool designed to evaluate Language Model Models (LLMs) in real-time by making them fight each other in Street Fighter III. The tool assesses LLMs based on speed, strategic thinking, adaptability, out-of-the-box thinking, and resilience. It provides a benchmark for LLMs to understand their environment and take context-based actions. Users can analyze the performance of different LLMs through ELO rankings and win rate matrices. The tool allows users to run experiments, test different LLM models, and customize prompts for LLM interactions. It offers installation instructions, test mode options, logging configurations, and the ability to run the tool with local models. Users can also contribute their own LLM models for evaluation and ranking.
Awesome-LLMs-for-Video-Understanding
Awesome-LLMs-for-Video-Understanding is a repository dedicated to exploring Video Understanding with Large Language Models. It provides a comprehensive survey of the field, covering models, pretraining, instruction tuning, and hybrid methods. The repository also includes information on tasks, datasets, and benchmarks related to video understanding. Contributors are encouraged to add new papers, projects, and materials to enhance the repository.
dom-to-semantic-markdown
DOM to Semantic Markdown is a tool that converts HTML DOM to Semantic Markdown for use in Large Language Models (LLMs). It maximizes semantic information, token efficiency, and preserves metadata to enhance LLMs' processing capabilities. The tool captures rich web content structure, including semantic tags, image metadata, table structures, and link destinations. It offers customizable conversion options and supports both browser and Node.js environments.
TempCompass
TempCompass is a benchmark designed to evaluate the temporal perception ability of Video LLMs. It encompasses a diverse set of temporal aspects and task formats to comprehensively assess the capability of Video LLMs in understanding videos. The benchmark includes conflicting videos to prevent models from relying on single-frame bias and language priors. Users can clone the repository, install required packages, prepare data, run inference using examples like Video-LLaVA and Gemini, and evaluate the performance of their models across different tasks such as Multi-Choice QA, Yes/No QA, Caption Matching, and Caption Generation.
code2prompt
Code2Prompt is a powerful command-line tool that generates comprehensive prompts from codebases, designed to streamline interactions between developers and Large Language Models (LLMs) for code analysis, documentation, and improvement tasks. It bridges the gap between codebases and LLMs by converting projects into AI-friendly prompts, enabling users to leverage AI for various software development tasks. The tool offers features like holistic codebase representation, intelligent source tree generation, customizable prompt templates, smart token management, Gitignore integration, flexible file handling, clipboard-ready output, multiple output options, and enhanced code readability.
gguf-tools
GGUF tools is a library designed to manipulate GGUF files commonly used in machine learning projects. The main goal of this library is to provide accessible code that documents GGUF files for the llama.cpp project. The utility implements subcommands to show detailed info about GGUF files, compare two LLMs, inspect tensor weights, and extract models from Mixtral 7B MoE. The library is under active development with well-commented code and a simple API. However, it has limitations in handling quantization formats.
AgentForge
AgentForge is a low-code framework tailored for the rapid development, testing, and iteration of AI-powered autonomous agents and Cognitive Architectures. It is compatible with a range of LLM models and offers flexibility to run different models for different agents based on specific needs. The framework is designed for seamless extensibility and database-flexibility, making it an ideal playground for various AI projects. AgentForge is a beta-testing ground and future-proof hub for crafting intelligent, model-agnostic autonomous agents.
Awesome-Attention-Heads
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.
llms-from-scratch-cn
This repository provides a detailed tutorial on how to build your own large language model (LLM) from scratch. It includes all the code necessary to create a GPT-like LLM, covering the encoding, pre-training, and fine-tuning processes. The tutorial is written in a clear and concise style, with plenty of examples and illustrations to help you understand the concepts involved. It is suitable for developers and researchers with some programming experience who are interested in learning more about LLMs and how to build them.
20 - OpenAI Gpts
MITRE Interpreter
This GPT helps you understand and apply the MITRE ATT&CK Framework, whether you are familiar with the concepts or not.
Research Mentor by Dr P.M. Sinclair
A GPT that explains research methods in a language that everyone can easily understand.
Praise Master
Our aim is to understand your unique needs intimately, providing customized commendations that sincerely convey your appreciation and recognition. Moreover, we will design and match the most suitable images to accompany the sentiment of your praise, enhancing the impact visually.
Personal Cryptoasset Security Wizard
An easy to understand wizard that guides you through questions about how to protect, back up and inherit essential digital information and assets such as crypto seed phrases, private keys, digital art, wallets, IDs, health and insurance information for you and your family.
GPT Configurator
Guide to create and understand GPTs, with latest insights and practical tips.
Non-Profit Press Release Pro
Easy-to-understand guidance for non-profits in crafting impactful press releases.
DirectX 12 Graphics Programming Helper
Helps beginners understand DirectX 12 concepts and terminology
Vulkan Graphics Programming Helper
Helps beginners understand Vulkan concepts and terminology
DirectX 11 Graphics Programming Helper
Helps beginners understand DirectX 11 concepts and terminology
OpenData Explorer
I'll help you access and understand open data published by central government, local authorities and public bodies. You can ask me in your native language.