Best AI tools for< Share Llm Results >

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.

Chatbots Life is a platform dedicated to providing comprehensive resources and insights on chatbots, AI, and natural language understanding (NLU). The website offers a wide range of content, including articles, workshops, and events, to help individuals learn and stay updated on the latest trends and technologies in the field of conversational AI.

Langtail is a platform that helps developers build, test, and deploy AI-powered applications. It provides a suite of tools to help developers debug prompts, run tests, and monitor the performance of their AI models. Langtail also offers a community forum where developers can share tips and tricks, and get help from other users.

ReplyInbox is a Gmail Chrome extension that revolutionizes email management by harnessing the power of AI. It automates email replies based on your product or service knowledge base, saving you time and effort. Simply select the text you want to respond to, click generate, and let ReplyInbox craft a personalized and high-quality reply. You can also share website links and other documentation with ReplyInbox's AI to facilitate even more accurate and informative responses.

Storytell.ai is an enterprise-grade AI platform that offers Business-Grade Intelligence across data, focusing on boosting productivity for employees and teams. It provides a secure environment with features like creating project spaces, multi-LLM chat, task automation, chat with company data, and enterprise-AI security suite. Storytell.ai ensures data security through end-to-end encryption, data encryption at rest, provenance chain tracking, and AI firewall. It is committed to making AI safe and trustworthy by not training LLMs with user data and providing audit logs for accountability. The platform continuously monitors and updates security protocols to stay ahead of potential threats.

Monitr is a data visualization and analytics platform that allows users to query, visualize, and share data in one place. It helps in tracking key metrics, making data-driven decisions, and breaking down data silos to provide a unified view of data from various sources. Users can create charts and dashboards, connect to different data sources like Postgresql and MySQL, and collaborate with teammates on SQL queries. Monitr's AI features are powered by Meta AI's Llama 3 LLM, enabling the development of powerful and flexible analytics tools for maximizing data utilization.

Golem is an AI chat application that provides a new ChatGPT experience. It offers a beautiful and user-friendly design, ensuring delightful interactions. Users can chat with a Large Language Model (LLM) securely, with data stored locally or on their personal cloud. Golem is open-source, allowing contributions and use as a reference for Nuxt 3 projects.

ROASTLI is an AI tool designed to analyze LinkedIn profiles and posts using advanced AI technology like ChatGPT. It generates a detailed analysis of the user's personality based on their LinkedIn activity. Additionally, ROASTLI is built on Wordware, an IDE for creating custom AI agents using natural language, making it suitable for various applications such as legal contract generation, marketing automation, and invoice analysis. It is ideal for cross-functional teams working on LLM applications, including non-technical members who require prompt outputs and quick iterations. ROASTLI empowers domain experts to shape LLM outputs without coding, particularly beneficial for scenarios like lawyers developing legal SaaS products. Developers can leverage ROASTLI to build sophisticated AI agents swiftly, offering features like loops, conditional logic, structured generation, and custom API integrations.

Social Share is an all-in-one social tool that allows users to create bio link pages, shorten links, generate QR codes, create vCard links, and generate file links. It is a comprehensive platform that provides users with everything they need to manage their social media presence and online marketing efforts.

Meyka is an AI-powered stock research tool that provides users with real-time stock data and analysis. Users can explore financial health, social sentiment analysis, earnings reports, comparison of financial statements, stock market news, DCF value, stock price forecasting, and recent grades for various stocks. The tool aims to assist users in making informed investment decisions by leveraging AI technology to analyze and predict stock market trends.

HubSpot is an AI-powered platform that offers a suite of marketing, sales, and customer service software. It provides tools for lead generation, marketing automation, sales pipeline management, customer support, content creation, and more. With features like a free online form builder, CRM integration, automated email follow-ups, and customizable forms, HubSpot helps businesses streamline their processes and nurture leads effectively. The platform caters to startups, small businesses, and enterprises, offering solutions to help them find and win customers, improve lead generation, and organize customer data efficiently.

Thinkific is an AI-powered online course platform that enables users to create, market, and sell digital learning products. With features like AI-powered tools, email marketing, digital downloads, coaching, webinars, and branded mobile apps, Thinkific empowers creators to build and scale their businesses. The platform provides full control over payments, enhanced reporting, and group orders to optimize sales. Thinkific also offers a supportive community of Creator Educators and partners, making it a comprehensive solution for individuals looking to monetize their expertise and share knowledge globally.

GlobeNewswire is a press release distribution service that offers a variety of features to help businesses get their news in front of the right audience. These features include targeted distribution options, media monitoring, a media contacts database, and PR measurement. GlobeNewswire also offers an AI press release generator that can help businesses create press releases quickly and easily.

NeutronField is an online platform where users can share and sell their AI-generated text-to-image prompts. The platform features a variety of prompts, including those for creating images of animals, robots, urban scenes, futuristic landscapes, and more. Users can browse prompts by category, filter them by AI model, and even purchase prompts from other users. NeutronField also offers a variety of resources for users, including a blog with tips and tutorials on how to use AI to create images.

NotePD is a platform that allows users to create and share various types of content such as idea lists, status updates, and challenges. Users can also engage in feed discussions and participate in challenges and questions. The platform offers a premium account option for additional features and benefits. NotePD aims to provide a creative space for users to express themselves, share ideas, and connect with others.

SkyReels is a video sharing platform that allows users to upload, watch, and share short video clips. It provides a space for users to showcase their creativity, talent, and moments with a global audience. With a user-friendly interface, SkyReels aims to connect people through engaging visual content and foster a sense of community among creators and viewers alike.

Roast Your Desk is a fun and entertaining AI application that allows users to upload a picture of their desk to receive a humorous roast from the AI. The application ensures privacy by blurring sensitive information on the desk. Users can share their desk roasts with others and have a good laugh. Roast Your Desk is a light-hearted way to add some humor to your workday.

KanShareBan is an AI-powered platform that allows users to share their projects, receive feedback from the community, create public Kanban boards, gather suggestions, and generate tasks with AI. Users can explore boards created by others, engage with community suggestions, and collaborate with creative individuals. The platform aims to streamline project planning and task management by leveraging artificial intelligence.

Gradio is a tool that allows users to quickly and easily create web-based interfaces for their machine learning models. With Gradio, users can share their models with others, allowing them to interact with and use the models remotely. Gradio is easy to use and can be integrated with any Python library. It can be used to create a variety of different types of interfaces, including those for image classification, natural language processing, and time series analysis.

QuizRise is an AI-powered quiz-making tool that allows users to quickly and easily create quizzes and flashcards from text, URLs, or PDFs. With its multiple question types, customization options, and sharing features, QuizRise is a versatile tool for educators, trainers, and anyone looking to create engaging and interactive content.

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.

The RAG Experiment Accelerator is a versatile tool that helps you conduct experiments and evaluations using Azure AI Search and RAG pattern. It offers a rich set of features, including experiment setup, integration with Azure AI Search, Azure Machine Learning, MLFlow, and Azure OpenAI, multiple document chunking strategies, query generation, multiple search types, sub-querying, re-ranking, metrics and evaluation, report generation, and multi-lingual support. The tool is designed to make it easier and faster to run experiments and evaluations of search queries and quality of response from OpenAI, and is useful for researchers, data scientists, and developers who want to test the performance of different search and OpenAI related hyperparameters, compare the effectiveness of various search strategies, fine-tune and optimize parameters, find the best combination of hyperparameters, and generate detailed reports and visualizations from experiment results.

BABILong is a generative benchmark designed to evaluate the performance of NLP models in processing long documents with distributed facts. It consists of 20 tasks that simulate interactions between characters and objects in various locations, requiring models to distinguish important information from irrelevant details. The tasks vary in complexity and reasoning aspects, with test samples potentially containing millions of tokens. The benchmark aims to challenge and assess the capabilities of Large Language Models (LLMs) in handling complex, long-context information.

ModelScope-Agent is a customizable and scalable Agent framework. A single agent has abilities such as role-playing, LLM calling, tool usage, planning, and memory. It mainly has the following characteristics: - **Simple Agent Implementation Process**: Simply specify the role instruction, LLM name, and tool name list to implement an Agent application. The framework automatically arranges workflows for tool usage, planning, and memory. - **Rich models and tools**: The framework is equipped with rich LLM interfaces, such as Dashscope and Modelscope model interfaces, OpenAI model interfaces, etc. Built in rich tools, such as **code interpreter**, **weather query**, **text to image**, **web browsing**, etc., make it easy to customize exclusive agents. - **Unified interface and high scalability**: The framework has clear tools and LLM registration mechanism, making it convenient for users to expand more diverse Agent applications. - **Low coupling**: Developers can easily use built-in tools, LLM, memory, and other components without the need to bind higher-level agents.

LLM Engineering is an 8-week course designed to help learners master AI and LLMs through a series of projects that gradually increase in complexity. The course covers setting up the environment, working with APIs, using Google Colab for GPU processing, and building an autonomous Agentic AI solution. Learners are encouraged to actively participate, run code cells, tweak code, and share their progress with the community. The emphasis is on practical, educational projects that teach valuable business skills.

The Korean SAT LLM Leaderboard is a benchmarking project that allows users to test their fine-tuned Korean language models on a 10-year dataset of the Korean College Scholastic Ability Test (CSAT). The project provides a platform to compare human academic ability with the performance of large language models (LLMs) on various question types to assess reading comprehension, critical thinking, and sentence interpretation skills. It aims to share benchmark data, utilize a reliable evaluation dataset curated by the Korea Institute for Curriculum and Evaluation, provide annual updates to prevent data leakage, and promote open-source LLM advancement for achieving top-tier performance on the Korean CSAT.

Consistency Large Language Models (CLLMs) is a family of efficient parallel decoders that reduce inference latency by efficiently decoding multiple tokens in parallel. The models are trained to perform efficient Jacobi decoding, mapping any randomly initialized token sequence to the same result as auto-regressive decoding in as few steps as possible. CLLMs have shown significant improvements in generation speed on various tasks, achieving up to 3.4 times faster generation. The tool provides a seamless integration with other techniques for efficient Large Language Model (LLM) inference, without the need for draft models or architectural modifications.

Cherry Data Selection project introduces a self-guided methodology for LLMs to autonomously discern and select cherry samples from open-source datasets, minimizing manual curation and cost for instruction tuning. The project focuses on selecting impactful training samples ('cherry data') to enhance LLM instruction tuning by estimating instruction-following difficulty. The method involves phases like 'Learning from Brief Experience', 'Evaluating Based on Experience', and 'Retraining from Self-Guided Experience' to improve LLM performance.

Latitude is an open-source prompt engineering platform that helps developers and product teams build AI features with confidence. It simplifies prompt management, aids in testing AI responses, and provides detailed analytics on request performance. Latitude offers collaborative prompt management, support for advanced features, version control, API and SDKs for integration, observability, evaluations in batch or real-time, and is community-driven. It can be deployed on Latitude Cloud for a managed solution or self-hosted for control and customization.

This repository, GraphWiz, focuses on developing an instruction-following Language Model (LLM) for solving graph problems. It includes GraphWiz LLMs with strong graph problem-solving abilities, GraphInstruct dataset with over 72.5k training samples across nine graph problem tasks, and models like GPT-4 and Mistral-7B for comparison. The project aims to map textual descriptions of graphs and structures to solve various graph problems explicitly in natural language.

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. |  |

Awesome-LLM is a curated list of resources related to large language models, focusing on papers, projects, frameworks, tools, tutorials, courses, opinions, and other useful resources in the field. It covers trending LLM projects, milestone papers, other papers, open LLM projects, LLM training frameworks, LLM evaluation frameworks, tools for deploying LLM, prompting libraries & tools, tutorials, courses, books, and opinions. The repository provides a comprehensive overview of the latest advancements and resources in the field of large language models.

The LLM RAG Workshop repository provides a workshop on using Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) to generate and understand text in a human-like manner. It includes instructions on setting up the environment, indexing Zoomcamp FAQ documents, creating a Q&A system, and using OpenAI for generation based on retrieved information. The repository focuses on enhancing language model responses with retrieved information from external sources, such as document databases or search engines, to improve factual accuracy and relevance of generated text.

A comprehensive repository of resources for Chinese large language models (LLMs), including data processing tools, fine-tuning frameworks, inference libraries, evaluation platforms, RAG engines, agent frameworks, books, courses, tutorials, and tips. The repository covers a wide range of tools and resources for working with LLMs, from data labeling and processing to model fine-tuning, inference, evaluation, and application development. It also includes resources for learning about LLMs through books, courses, and tutorials, as well as insights and strategies from building with LLMs.

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.

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Search, Play and Share cool GPTs

Chat with Santa! 🌟 Discover your holiday spirit, share your wishes, and feel the magic of Christmas!

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LegacyLink GPT is an innovative digital platform engineered to foster connections across generations through the power of storytelling. This AI-assisted application empowers families to document, share, and preserve their unique histories, memories, and wisdom in an engaging and accessible manner.

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