Best AI tools for< Manage Language Models >

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.

NinjaChat is an all-in-one AI platform that offers a suite of premium AI chatbots, an AI image generator, an AI music generator, and more—all seamlessly integrated into one powerful platform tailored to users' needs. It provides access to over 9 AI apps on one platform, featuring popular AI models like GPT-4, Claude 3, Mixtral, PDF analysis, image generation, and music composition. Users can chat with documents, generate images, and interact with multiple language models under one subscription.

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.

Stockpulse is an AI-powered platform that analyzes financial news and communities using Artificial Intelligence. It provides decision support for operations by collecting, filtering, and converting unstructured data into processable information. With extensive coverage of financial media sources globally, Stockpulse offers unique historical data, sentiment analysis, and AI-driven insights for various sectors in the financial markets.

MaxKB is a ready-to-use, flexible RAG Chatbot that is based on Large Language Models (LLM) and Retrieval-Augmented Generation (RAG). It is widely applied in scenarios such as intelligent customer service, corporate internal knowledge bases, academic research, and education. MaxKB supports direct uploading of documents, automatic crawling of online documents, automatic text splitting, vectorization, and RAG for smart Q&A interactions. It also offers flexible orchestration, seamless integration into third-party systems, and supports various large models for enhanced user satisfaction.

Spellbook is a comprehensive AI tool designed for commercial lawyers to review, draft, and manage legal contracts efficiently. It offers features such as redline contract review, drafting from scratch or saved libraries, quick answers to complex questions, comparing contracts to industry standards, and multi-document workflows. Spellbook is powered by OpenAI's GPT-4o and other large language models, providing accurate and reliable performance. It ensures data privacy with Zero Data Retention agreements, making it a secure and private solution for law firms and in-house legal teams worldwide.

AiFA Labs is an AI platform that offers a comprehensive suite of generative AI products and services for enterprises. The platform enables businesses to create, manage, and deploy generative AI applications responsibly and at scale. With a focus on governance, compliance, and security, AiFA Labs provides a range of AI tools to streamline business operations, enhance productivity, and drive innovation. From AI code assistance to chat interfaces and data synthesis, AiFA Labs empowers organizations to leverage the power of AI for various use cases across different industries.

Gen AI For Enterprise is an AI application that offers a secure, scalable, and customizable platform for enterprises. It provides a private chat feature, enhanced knowledge retrieval, and custom business case development. The application is trusted by various industries and empowers teams to work better by leveraging advanced AI models and APIs. It ensures robust security, compliance with industry standards, and simplified user management. Gen AI For Enterprise aims to transform businesses by providing innovative AI solutions.

Dust is a customizable and secure AI assistant platform that helps businesses amplify their team's potential. It allows users to deploy the best Large Language Models to their company, connect Dust to their team's data, and empower their teams with assistants tailored to their specific needs. Dust is exceptionally modular and adaptable, tailoring to unique requirements and continuously evolving to meet changing needs. It supports multiple sources of data and models, including proprietary and open-source models from OpenAI, Anthropic, and Mistral. Dust also helps businesses identify their most creative and driven team members and share their experience with AI throughout the company. It promotes collaboration with shared conversations, @mentions in discussions, and Slackbot integration. Dust prioritizes security and data privacy, ensuring that data remains private and that enterprise-grade security measures are in place to manage data access policies.

ModelOp is the leading AI Governance software for enterprises, providing a single source of truth for all AI systems, automated process workflows, real-time insights, and integrations to extend the value of existing technology investments. It helps organizations safeguard AI initiatives without stifling innovation, ensuring compliance, accelerating innovation, and improving key performance indicators. ModelOp supports generative AI, Large Language Models (LLMs), in-house, third-party vendor, and embedded systems. The software enables visibility, accountability, risk tiering, systemic tracking, enforceable controls, workflow automation, reporting, and rapid establishment of AI governance.

Trieve is an AI-first infrastructure API that offers search, recommendations, and RAG capabilities by combining language models with tools for fine-tuning ranking and relevance. It helps companies build unfair competitive advantages through their discovery experiences, powering over 30,000 discovery experiences across various categories. Trieve supports semantic vector search, BM25 & SPLADE full-text search, hybrid search, merchandising & relevance tuning, and sub-sentence highlighting. The platform is built on open-source models, ensuring data privacy, and offers self-hostable options for sensitive data and maximum performance.

Milo is an AI-powered co-pilot for parents, designed to help them manage the chaos of family life. It uses GPT-4, the latest in large-language models, to sort and organize information, send reminders, and provide updates. Milo is designed to be accurate and solve complex problems, and it learns and gets better based on user feedback. It can be used to manage tasks such as adding items to a grocery list, getting updates on the week's schedule, and sending screenshots of birthday invitations.

Ready to Send is an AI-powered Gmail assistant that automates the process of generating personalized email responses. It seamlessly integrates with Gmail to provide lightning-fast email replies, personalized and editable responses, and privacy-centric handling of sensitive data. The application leverages AI technology to craft contextual responses in the user's voice, transforming inbox management from a chore to a delight. With support for multiple languages and advanced language models, Ready to Send offers a secure and efficient solution for enhancing email productivity.

Azure AI Platform by Microsoft offers a comprehensive suite of artificial intelligence services and tools for developers and businesses. It provides a unified platform for building, training, and deploying AI models, as well as integrating AI capabilities into applications. With a focus on generative AI, multimodal models, and large language models, Azure AI empowers users to create innovative AI-driven solutions across various industries. The platform also emphasizes content safety, scalability, and agility in managing AI projects, making it a valuable resource for organizations looking to leverage AI technologies.

Fleak AI Workflows is a low-code serverless API Builder designed for data teams to effortlessly integrate, consolidate, and scale their data workflows. It simplifies the process of creating, connecting, and deploying workflows in minutes, offering intuitive tools to handle data transformations and integrate AI models seamlessly. Fleak enables users to publish, manage, and monitor APIs effortlessly, without the need for infrastructure requirements. It supports various data types like JSON, SQL, CSV, and Plain Text, and allows integration with large language models, databases, and modern storage technologies.

The LLM Token Counter is a sophisticated tool designed to help users effectively manage token limits for various Language Models (LLMs) like GPT-3.5, GPT-4, Claude-3, Llama-3, and more. It utilizes Transformers.js, a JavaScript implementation of the Hugging Face Transformers library, to calculate token counts client-side. The tool ensures data privacy by not transmitting prompts to external servers.

LexEdge is an AI-powered legal practice management solution that revolutionizes how legal professionals handle their responsibilities. It offers advanced features like case tracking, client communications, AI chatbot assistance, document automation, task management, and detailed reporting and analytics. LexEdge enhances productivity, accuracy, and client satisfaction by leveraging technologies such as AI, large language models (LLM), retrieval-augmented generation (RAG), fine-tuning, and custom model training. It caters to solo practitioners, small and large law firms, and corporate legal departments, providing tailored solutions to meet their unique needs.

Stack Spaces is an intelligent all-in-one workspace designed to elevate productivity by providing a central workspace and dashboard for product development. It offers a platform to manage knowledge, tasks, documents, and schedule in an organized, centralized, and simplified manner. The application integrates GPT-4 technology to tailor the workspace for users, allowing them to leverage large language models and customizable widgets. Users can centralize all apps and tools, ask questions, and perform intelligent searches to access relevant answers and insights. Stack Spaces aims to streamline workflows, eliminate context-switching, and optimize efficiency for users.

Athina AI is a comprehensive platform designed to monitor, debug, analyze, and improve the performance of Large Language Models (LLMs) in production environments. It provides a suite of tools and features that enable users to detect and fix hallucinations, evaluate output quality, analyze usage patterns, and optimize prompt management. Athina AI supports integration with various LLMs and offers a range of evaluation metrics, including context relevancy, harmfulness, summarization accuracy, and custom evaluations. It also provides a self-hosted solution for complete privacy and control, a GraphQL API for programmatic access to logs and evaluations, and support for multiple users and teams. Athina AI's mission is to empower organizations to harness the full potential of LLMs by ensuring their reliability, accuracy, and alignment with business objectives.

Olympia is an AI-powered consultancy platform that offers smart and affordable AI consultants to help businesses with various tasks such as business strategy, online marketing, content generation, legal advice, software development, and sales. The platform features continuous learning capabilities, real-time research, email integration, vision capabilities, and more. Olympia aims to streamline operations, reduce expenses, and boost productivity for startups, small businesses, and solopreneurs by providing expert AI teams powered by advanced language models like GPT4 and Claude 3. The platform ensures secure communication, no rate limits, long-term memory, and outbound email capabilities.

LangGraph-learn is a community-driven project focused on mastering LangGraph and other AI-related topics. It provides hands-on examples and resources to help users learn how to create and manage language model workflows using LangGraph and related tools. The project aims to foster a collaborative learning environment for individuals interested in AI and machine learning by offering practical examples and tutorials on building efficient and reusable workflows involving language models.

QMedia is an open-source multimedia AI content search engine designed specifically for content creators. It provides rich information extraction methods for text, image, and short video content. The tool integrates unstructured text, image, and short video information to build a multimodal RAG content Q&A system. Users can efficiently search for image/text and short video materials, analyze content, provide content sources, and generate customized search results based on user interests and needs. QMedia supports local deployment for offline content search and Q&A for private data. The tool offers features like content cards display, multimodal content RAG search, and pure local multimodal models deployment. Users can deploy different types of models locally, manage language models, feature embedding models, image models, and video models. QMedia aims to spark new ideas for content creation and share AI content creation concepts in an open-source manner.

ChatOpsLLM is a project designed to empower chatbots with effortless DevOps capabilities. It provides an intuitive interface and streamlined workflows for managing and scaling language models. The project incorporates robust MLOps practices, including CI/CD pipelines with Jenkins and Ansible, monitoring with Prometheus and Grafana, and centralized logging with the ELK stack. Developers can find detailed documentation and instructions on the project's website.

The LLM Hosting Container repository provides Dockerfile and associated resources for building and hosting containers for large language models, specifically the HuggingFace Text Generation Inference (TGI) container. This tool allows users to easily deploy and manage large language models in a containerized environment, enabling efficient inference and deployment of language-based applications.

This repository contains example code to demonstrate how to connect MATLAB to the OpenAI™ Chat Completions API (which powers ChatGPT™) as well as OpenAI Images API (which powers DALL·E™). This allows you to leverage the natural language processing capabilities of large language models directly within your MATLAB environment.

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.

Ollama Colab Integration V4 is a tool designed to enhance the interaction and management of large language models. It allows users to quantize models within their notebook environment, access a variety of models through a user-friendly interface, and manage public endpoints efficiently. The tool also provides features like LiteLLM proxy control, model insights, and customizable model file templating. Users can troubleshoot model loading issues, CPU fallback strategies, and manage VRAM and RAM effectively. Additionally, the tool offers functionalities for downloading model files from Hugging Face, model conversion with high precision, model quantization using Q and Kquants, and securely uploading converted models to Hugging Face.

Sdcb Chats is a powerful and flexible frontend for large language models, supporting multiple functions and platforms. Whether you want to manage multiple model interfaces or need a simple deployment process, Sdcb Chats can meet your needs. It supports dynamic management of multiple large language model interfaces, integrates visual models to enhance user interaction experience, provides fine-grained user permission settings for security, real-time tracking and management of user account balances, easy addition, deletion, and configuration of models, transparently forwards user chat requests based on the OpenAI protocol, supports multiple databases including SQLite, SQL Server, and PostgreSQL, compatible with various file services such as local files, AWS S3, Minio, Aliyun OSS, Azure Blob Storage, and supports multiple login methods including Keycloak SSO and phone SMS verification.

vnc-lm is a Discord bot designed for messaging with language models. Users can configure model parameters, branch conversations, and edit prompts to enhance responses. The bot supports various providers like OpenAI, Huggingface, and Cloudflare Workers AI. It integrates with ollama and LiteLLM, allowing users to access a wide range of language model APIs through a single interface. Users can manage models, switch between models, split long messages, and create conversation branches. LiteLLM integration enables support for OpenAI-compatible APIs and local LLM services. The bot requires Docker for installation and can be configured through environment variables. Troubleshooting tips are provided for common issues like context window problems, Discord API errors, and LiteLLM issues.

Tara is a powerful node for ComfyUI that integrates Large Language Models (LLMs) to enhance and automate workflow processes. With Tara, you can create complex, intelligent workflows that refine and generate content, manage API keys, and seamlessly integrate various LLMs into your projects. It comprises nodes for handling OpenAI-compatible APIs, saving and loading API keys, composing multiple texts, and using predefined templates for OpenAI and Groq. Tara supports OpenAI and Grok models with plans to expand support to together.ai and Replicate. Users can install Tara via Git URL or ComfyUI Manager and utilize it for tasks like input guidance, saving and loading API keys, and generating text suitable for chaining in workflows.

LLM-jp-eval is a tool designed to automatically evaluate Japanese large language models across multiple datasets. It provides functionalities such as converting existing Japanese evaluation data to text generation task evaluation datasets, executing evaluations of large language models across multiple datasets, and generating instruction data (jaster) in the format of evaluation data prompts. Users can manage the evaluation settings through a config file and use Hydra to load them. The tool supports saving evaluation results and logs using wandb. Users can add new evaluation datasets by following specific steps and guidelines provided in the tool's documentation. It is important to note that using jaster for instruction tuning can lead to artificially high evaluation scores, so caution is advised when interpreting the results.

Elia is a powerful terminal user interface designed for interacting with large language models. It allows users to chat with models like Claude 3, ChatGPT, Llama 3, Phi 3, Mistral, and Gemma. Conversations are stored locally in a SQLite database, ensuring privacy. Users can run local models through 'ollama' without data leaving their machine. Elia offers easy installation with pipx and supports various environment variables for different models. It provides a quick start to launch chats and manage local models. Configuration options are available to customize default models, system prompts, and add new models. Users can import conversations from ChatGPT and wipe the database when needed. Elia aims to enhance user experience in interacting with language models through a user-friendly interface.

Ollama GUI is a web interface for ollama.ai, a tool that enables running Large Language Models (LLMs) on your local machine. It provides a user-friendly platform for chatting with LLMs and accessing various models for text generation. Users can easily interact with different models, manage chat history, and explore available models through the web interface. The tool is built with Vue.js, Vite, and Tailwind CSS, offering a modern and responsive design for seamless user experience.

Handy-Ollama is a tutorial for deploying Ollama with hands-on practice, making the deployment of large language models accessible to everyone. The tutorial covers a wide range of content from basic to advanced usage, providing clear steps and practical tips for beginners and experienced developers to learn Ollama from scratch, deploy large models locally, and develop related applications. It aims to enable users to run large models on consumer-grade hardware, deploy models locally, and manage models securely and reliably.

ChatterUI is a mobile app that allows users to manage chat files and character cards, and to interact with Large Language Models (LLMs). It supports multiple backends, including local, koboldcpp, text-generation-webui, Generic Text Completions, AI Horde, Mancer, Open Router, and OpenAI. ChatterUI provides a mobile-friendly interface for interacting with LLMs, making it easy to use them for a variety of tasks, such as generating text, translating languages, writing code, and answering questions.

Instructor is a Python library that makes it a breeze to work with structured outputs from large language models (LLMs). Built on top of Pydantic, it provides a simple, transparent, and user-friendly API to manage validation, retries, and streaming responses. Get ready to supercharge your LLM workflows!

DuoAttention is a framework designed to optimize long-context large language models (LLMs) by reducing memory and latency during inference without compromising their long-context abilities. It introduces a concept of Retrieval Heads and Streaming Heads to efficiently manage attention across tokens. By applying a full Key and Value (KV) cache to retrieval heads and a lightweight, constant-length KV cache to streaming heads, DuoAttention achieves significant reductions in memory usage and decoding time for LLMs. The framework uses an optimization-based algorithm with synthetic data to accurately identify retrieval heads, enabling efficient inference with minimal accuracy loss compared to full attention. DuoAttention also supports quantization techniques for further memory optimization, allowing for decoding of up to 3.3 million tokens on a single GPU.

LLamaWorker is a HTTP API server developed to provide an OpenAI-compatible API for integrating Large Language Models (LLM) into applications. It supports multi-model configuration, streaming responses, text embedding, chat templates, automatic model release, function calls, API key authentication, and test UI. Users can switch models, complete chats and prompts, manage chat history, and generate tokens through the test UI. Additionally, LLamaWorker offers a Vulkan compiled version for download and provides function call templates for testing. The tool supports various backends and provides API endpoints for chat completion, prompt completion, embeddings, model information, model configuration, and model switching. A Gradio UI demo is also available for testing.

IntelliChat is an open-source AI chatbot tool designed to accelerate the integration of multiple language models into chatbot apps. Users can select their preferred AI provider and model from the UI, manage API keys, and access data using Intellinode. The tool is built with Intellinode and Next.js, and supports various AI providers such as OpenAI ChatGPT, Google Gemini, Azure Openai, Cohere Coral, Replicate, Mistral AI, Anthropic, and vLLM. It offers a user-friendly interface for developers to easily incorporate AI capabilities into their chatbot applications.

Formador para la certificación de ML Engineer en GCP, con respuestas y explicaciones detalladas.

Expert in Anaplan, informed by Solution Architect

Your go-to quantum finance expert!

Helping you learn to work better and quicker using language models. Drawing lessons from PROMPT for Brands https://prompt.mba/.

AI language model specializing in orchestrating human-AI interactions

This is the most intelligent GPT evern in existence

Updated: https://chat.openai.com/g/g-32kHtFC2B-guru

Expert in designing GPT models and translating user needs into technical specs.

A creative aide for designing new GPT models, skilled in ideation and prompting.

GPT Live Directory for storing and retrieving GPT models.

A witty yet succinct guide for HuggingFace, offering technical assistance on using the platform - based on their Learning Hub

Expert in Hugging Face platform tools and resources

An assistant to help you understand transfer learning better

I design and optimize GPT concepts.

Adaptable facetorch expert, tailoring responses to user expertise.

I assist with Langflow CustomComponents.

资深AI研究者，专长于论文解读、技术解析及代码编写。

A data assistant for devs, now with real video and image links.

As the smallest language model (SLM) chatbot in existence, Enough responds with only one word.

Give me a picture of what you intend to buy and say: Go.