Best AI tools for< Use Multimodal Models >

The website offers content moderation and image analysis products using powerful APIs to automatically assess, filter, and moderate images, videos, and text. It provides features such as image moderation, video moderation, text moderation, AI image detection, and video anonymization. The application helps in detecting unwanted content, AI-generated images, and personal information in videos. It also offers tools to identify near-duplicates, spam, and abusive links, and prevent phishing and circumvention attempts. The platform is fast, scalable, accurate, easy to integrate, and privacy compliant, making it suitable for various industries like marketplaces, dating apps, and news platforms.

GoCharlie is a leading Generative AI company specializing in developing cognitive agents and models optimized for businesses. Its AI technology enables professionals and businesses to amplify their productivity and create high-performing content tailored to their needs. GoCharlie's AI assistant, Charlie, automates repetitive tasks, allowing teams to focus on more strategic and creative work. It offers a suite of proprietary LLM and multimodal models, a Memory Vault to build an AI Brain for businesses, and Agent AI to deliver the full power of AI to operations. GoCharlie can automate mundane tasks, drive complex workflows, and facilitate instant, precise data retrieval.

RecurseChat is a personal AI chat that is local, offline, and private. It allows users to chat with a local LLM, import ChatGPT history, chat with multiple models in one chat session, and use multimodal input. RecurseChat is also secure and private, and it is customizable to the core.

Reka is a cutting-edge AI application offering next-generation multimodal AI models that empower agents to see, hear, and speak. Their flagship model, Reka Core, competes with industry leaders like OpenAI and Google, showcasing top performance across various evaluation metrics. Reka's models are natively multimodal, capable of tasks such as generating textual descriptions from videos, translating speech, answering complex questions, writing code, and more. With advanced reasoning capabilities, Reka enables users to solve a wide range of complex problems. The application provides end-to-end support for 32 languages, image and video comprehension, multilingual understanding, tool use, function calling, and coding, as well as speech input and output.

Mixpeek is a multimodal intelligence platform that helps users extract important data from videos, images, audio, and documents. It enables users to focus on insights rather than data preparation by identifying concepts, activities, and objects from various sources. Mixpeek offers features such as real-time synchronization, extraction and embedding, fine-tuning and scaling of models, and seamless integration with various data sources. The platform is designed to be easy to use, scalable, and secure, making it suitable for a wide range of applications.

NEX is a controllable AI image generation tool designed for product creative image suite. It offers a variety of multimodal controls, IP-consistent models, and team workspaces to bring ideas to life. With fine-grained controls like pose, color, and character consistency, NEX supports any creative task. It provides tailored generative media models for various applications, private and custom-built AI models, and collaborative workspaces for secure data sharing. NEX is ideal for creative enterprises in media & entertainment, gaming, fashion, and more, offering up to 10x cost reduction in model development compared to competitors.

Encord is a complete data development platform designed for AI applications, specifically tailored for computer vision and multimodal AI teams. It offers tools to intelligently manage, clean, and curate data, streamline labeling and workflow management, and evaluate model performance. Encord aims to unlock the potential of AI for organizations by simplifying data-centric AI pipelines, enabling the building of better models and deploying high-quality production AI faster.

NEX is a controllable AI image generation tool designed for product creative image suite. It offers a variety of multimodal controls to generate and reimagine images according to user preferences. With IP-consistent models and team workspaces, NEX empowers users to bring their creative ideas to life. The tool supports fine-grained controls like pose, color, and character consistency, making it suitable for various creative tasks across industries such as media, entertainment, gaming, and fashion. NEX provides data-safe workspaces, private and custom-built AI models, and tailored generative media models for professional use.

Adept is an AI tool that aims to provide useful general intelligence by building a machine learning model that can interact with everything on your computer. It takes your goals in plain language and turns them into actions on the software you use every day. Adept's model, ACT-1, is designed and trained specifically for taking actions on computers in response to natural language commands. The application focuses on collaborating and creating with users at the center, enabling more informed decisions and giving users more time for the work they love.

Open GPT 4o is an advanced large multimodal language model developed by OpenAI, offering real-time audiovisual responses, emotion recognition, and superior visual capabilities. It can handle text, audio, and image inputs, providing a rich and interactive user experience. GPT 4o is free for all users and features faster response times, advanced interactivity, and the ability to recognize and output emotions. It is designed to be more powerful and comprehensive than its predecessor, GPT 4, making it suitable for applications requiring voice interaction and multimodal processing.

Qwen is an AI tool that focuses on developing and releasing various language models, including dense models, coding models, mathematical models, and vision language models. The Qwen family offers open-source models with different parameter ranges to cater to various user needs, such as production use, mobile applications, coding assistance, mathematical problem-solving, and visual understanding of images and videos. Qwen aims to enhance intelligence and provide smarter and more knowledgeable models for developers and users.

Google Gemini Pro Chat Bot is an advanced AI tool designed to provide automated chatbot services for businesses. It utilizes artificial intelligence to engage with customers, answer queries, and assist in various tasks. The chatbot is highly customizable, allowing businesses to tailor the responses and interactions based on their specific needs. With its user-friendly interface and powerful AI capabilities, Google Gemini Pro Chat Bot is a valuable tool for enhancing customer support and streamlining communication processes.

Jina AI is a company that provides multimodal AI solutions for businesses and developers. Their products include embeddings, rerankers, and prompt engineering tools. Jina AI's mission is to make AI accessible and easy to use for everyone.

MyCharacter.AI is a dApp built on the AI Protocol that leverages the CharacterGPT V2 Multimodal AI System to generate realistic, intelligent, and interactive AI Characters that are collectible on the Polygon blockchain.

Ragie is a fully managed RAG-as-a-Service platform designed for developers. It offers easy-to-use APIs and SDKs to help developers get started quickly, with advanced features like LLM re-ranking, summary index, entity extraction, flexible filtering, and hybrid semantic and keyword search. Ragie allows users to connect directly to popular data sources like Google Drive, Notion, Confluence, and more, ensuring accurate and reliable information delivery. The platform is led by Craft Ventures and offers seamless data connectivity through connectors. Ragie simplifies the process of data ingestion, chunking, indexing, and retrieval, making it a valuable tool for AI applications.

Motion is an AI-powered work planning and scheduling tool that helps individuals and teams be more productive and organized. It uses a proprietary algorithm called The Happiness Algorithm to automatically prioritize tasks, schedule meetings, and track progress. Motion integrates with popular calendars, task managers, and other productivity tools, making it easy to use and customize to your workflow. With Motion, you can save time, reduce stress, and achieve your goals more efficiently.

Abacus.AI is the world's first AI platform where AI, not humans, build Applied AI agents and systems at scale. Using generative AI and other novel neural net techniques, AI can build LLM apps, gen AI agents, and predictive applied AI systems at scale.

Journey+ is an AI-powered image generator that allows users to create high-quality images without using Discord. It offers a range of features such as image generation, image editing, and image blending, making it a powerful tool for designers, marketers, and agencies. Journey+ is easy to use and can be accessed from any desktop device. It is also affordable, with a free trial and a variety of pricing plans to choose from.

MapDeduce is an AI-powered tool that helps users understand and analyze complex documents. It can be used to summarize documents, extract key information, and identify potential red flags. MapDeduce is designed to save users time and effort by automating the process of document analysis.

UnlimitedGPT is a free AI tools directory that provides access to a variety of AI-powered tools, including ChatGPT. With UnlimitedGPT, you can use ChatGPT to generate text, translate languages, write code, and more. UnlimitedGPT also provides a directory of other AI tools, such as image generators, video editors, and music composers.

Ollama-SwiftUI is a user-friendly interface for Ollama.ai created in Swift. It allows seamless chatting with local Large Language Models on Mac. Users can change models mid-conversation, restart conversations, send system prompts, and use multimodal models with image + text. The app supports managing models, including downloading, deleting, and duplicating them. It offers light and dark mode, multiple conversation tabs, and a localized interface in English and Arabic.

OpenAdapt is an open-source software adapter between Large Multimodal Models (LMMs) and traditional desktop and web Graphical User Interfaces (GUIs). It aims to automate repetitive GUI workflows by leveraging the power of LMMs. OpenAdapt records user input and screenshots, converts them into tokenized format, and generates synthetic input via transformer model completions. It also analyzes recordings to generate task trees and replay synthetic input to complete tasks. OpenAdapt is model agnostic and generates prompts automatically by learning from human demonstration, ensuring that agents are grounded in existing processes and mitigating hallucinations. It works with all types of desktop GUIs, including virtualized and web, and is open source under the MIT license.

lm.rs is a tool that allows users to run inference on Language Models locally on the CPU using Rust. It supports LLama3.2 1B and 3B models, with a WebUI also available. The tool provides benchmarks and download links for models and tokenizers, with recommendations for quantization options. Users can convert models from Google/Meta on huggingface using provided scripts. The tool can be compiled with cargo and run with various arguments for model weights, tokenizer, temperature, and more. Additionally, a backend for the WebUI can be compiled and run to connect via the web interface.

This repository contains a collection of papers and resources related to Large Language Models (LLMs), including their applications in various domains such as text generation, translation, question answering, and dialogue systems. The repository also includes discussions on the ethical and societal implications of LLMs. **Description** This repository is a collection of papers and resources related to Large Language Models (LLMs). LLMs are a type of artificial intelligence (AI) that can understand and generate human-like text. They have a wide range of applications, including text generation, translation, question answering, and dialogue systems. **For Jobs** - **Content Writer** - **Copywriter** - **Editor** - **Journalist** - **Marketer** **AI Keywords** - **Large Language Models** - **Natural Language Processing** - **Machine Learning** - **Artificial Intelligence** - **Deep Learning** **For Tasks** - **Generate text** - **Translate text** - **Answer questions** - **Engage in dialogue** - **Summarize text**

SWIFT (Scalable lightWeight Infrastructure for Fine-Tuning) supports training, inference, evaluation and deployment of nearly **200 LLMs and MLLMs** (multimodal large models). Developers can directly apply our framework to their own research and production environments to realize the complete workflow from model training and evaluation to application. In addition to supporting the lightweight training solutions provided by [PEFT](https://github.com/huggingface/peft), we also provide a complete **Adapters library** to support the latest training techniques such as NEFTune, LoRA+, LLaMA-PRO, etc. This adapter library can be used directly in your own custom workflow without our training scripts. To facilitate use by users unfamiliar with deep learning, we provide a Gradio web-ui for controlling training and inference, as well as accompanying deep learning courses and best practices for beginners. Additionally, we are expanding capabilities for other modalities. Currently, we support full-parameter training and LoRA training for AnimateDiff.

Awesome Mobile LLMs is a curated list of Large Language Models (LLMs) and related studies focused on mobile and embedded hardware. The repository includes information on various LLM models, deployment frameworks, benchmarking efforts, applications, multimodal LLMs, surveys on efficient LLMs, training LLMs on device, mobile-related use-cases, industry announcements, and related repositories. It aims to be a valuable resource for researchers, engineers, and practitioners interested in mobile LLMs.

Hands-On Large Language Models is a repository containing code examples from the book 'The Illustrated LLM Book' by Jay Alammar and Maarten Grootendorst. The repository provides practical tools and concepts for using Large Language Models with over 250 custom-made figures. It covers topics such as language model introduction, tokens and embeddings, transformer LLMs, text classification, text clustering, prompt engineering, text generation techniques, semantic search, multimodal LLMs, text embedding models, fine-tuning representation models, and fine-tuning generation models. The examples are designed to be run on Google Colab with T4 GPU support, but can be adapted to other cloud platforms as well.

Cambrian-1 is a fully open project focused on exploring multimodal Large Language Models (LLMs) with a vision-centric approach. It offers competitive performance across various benchmarks with models at different parameter levels. The project includes training configurations, model weights, instruction tuning data, and evaluation details. Users can interact with Cambrian-1 through a Gradio web interface for inference. The project is inspired by LLaVA and incorporates contributions from Vicuna, LLaMA, and Yi. Cambrian-1 is licensed under Apache 2.0 and utilizes datasets and checkpoints subject to their respective original licenses.

Uni-MoE is a MoE-based unified multimodal model that can handle diverse modalities including audio, speech, image, text, and video. The project focuses on scaling Unified Multimodal LLMs with a Mixture of Experts framework. It offers enhanced functionality for training across multiple nodes and GPUs, as well as parallel processing at both the expert and modality levels. The model architecture involves three training stages: building connectors for multimodal understanding, developing modality-specific experts, and incorporating multiple trained experts into LLMs using the LoRA technique on mixed multimodal data. The tool provides instructions for installation, weights organization, inference, training, and evaluation on various datasets.

Efficient Foundation Model Survey is a comprehensive analysis of resource-efficient large language models (LLMs) and multimodal foundation models. The survey covers algorithmic and systemic innovations to support the growth of large models in a scalable and environmentally sustainable way. It explores cutting-edge model architectures, training/serving algorithms, and practical system designs. The goal is to provide insights on tackling resource challenges posed by large foundation models and inspire future breakthroughs in the field.

MMMU is a benchmark designed to evaluate multimodal models on college-level subject knowledge tasks, covering 30 subjects and 183 subfields with 11.5K questions. It focuses on advanced perception and reasoning with domain-specific knowledge, challenging models to perform tasks akin to those faced by experts. The evaluation of various models highlights substantial challenges, with room for improvement to stimulate the community towards expert artificial general intelligence (AGI).

Awesome-Colorful-LLM is a meticulously assembled anthology of vibrant multimodal research focusing on advancements propelled by large language models (LLMs) in domains such as Vision, Audio, Agent, Robotics, and Fundamental Sciences like Mathematics. The repository contains curated collections of works, datasets, benchmarks, projects, and tools related to LLMs and multimodal learning. It serves as a comprehensive resource for researchers and practitioners interested in exploring the intersection of language models and various modalities for tasks like image understanding, video pretraining, 3D modeling, document understanding, audio analysis, agent learning, robotic applications, and mathematical research.

Generative AI on AWS by O'Reilly Media provides a comprehensive guide on leveraging generative AI models on the AWS platform. The book covers various topics such as generative AI use cases, prompt engineering, large-language models, fine-tuning techniques, optimization, deployment, and more. Authors Chris Fregly, Antje Barth, and Shelbee Eigenbrode offer insights into cutting-edge AI technologies and practical applications in the field. The book is a valuable resource for data scientists, AI enthusiasts, and professionals looking to explore generative AI capabilities on AWS.

AiTreasureBox is a versatile AI tool that provides a collection of pre-trained models and algorithms for various machine learning tasks. It simplifies the process of implementing AI solutions by offering ready-to-use components that can be easily integrated into projects. With AiTreasureBox, users can quickly prototype and deploy AI applications without the need for extensive knowledge in machine learning or deep learning. The tool covers a wide range of tasks such as image classification, text generation, sentiment analysis, object detection, and more. It is designed to be user-friendly and accessible to both beginners and experienced developers, making AI development more efficient and accessible to a wider audience.

NeMo Framework is a generative AI framework built for researchers and pytorch developers working on large language models (LLMs), multimodal models (MM), automatic speech recognition (ASR), and text-to-speech synthesis (TTS). The primary objective of NeMo is to provide a scalable framework for researchers and developers from industry and academia to more easily implement and design new generative AI models by being able to leverage existing code and pretrained models.

LightLLM is a Python-based LLM (Large Language Model) inference and serving framework known for its lightweight design, scalability, and high-speed performance. It offers features like tri-process asynchronous collaboration, Nopad for efficient attention operations, dynamic batch scheduling, FlashAttention integration, tensor parallelism, Token Attention for zero memory waste, and Int8KV Cache. The tool supports various models like BLOOM, LLaMA, StarCoder, Qwen-7b, ChatGLM2-6b, Baichuan-7b, Baichuan2-7b, Baichuan2-13b, InternLM-7b, Yi-34b, Qwen-VL, Llava-7b, Mixtral, Stablelm, and MiniCPM. Users can deploy and query models using the provided server launch commands and interact with multimodal models like QWen-VL and Llava using specific queries and images.

LL3DA is a Large Language 3D Assistant that responds to both visual and textual interactions within complex 3D environments. It aims to help Large Multimodal Models (LMM) comprehend, reason, and plan in diverse 3D scenes by directly taking point cloud input and responding to textual instructions and visual prompts. LL3DA achieves remarkable results in 3D Dense Captioning and 3D Question Answering, surpassing various 3D vision-language models. The code is fully released, allowing users to train customized models and work with pre-trained weights. The tool supports training with different LLM backends and provides scripts for tuning and evaluating models on various tasks.

The llama-recipes repository provides a scalable library for fine-tuning Llama 2, along with example scripts and notebooks to quickly get started with using the Llama 2 models in a variety of use-cases, including fine-tuning for domain adaptation and building LLM-based applications with Llama 2 and other tools in the LLM ecosystem. The examples here showcase how to run Llama 2 locally, in the cloud, and on-prem.

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.

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.

This GPT can generate software use cases, which are based on a use case templates repository and conform to a style guide.

The use case designer is configured with the latest Data Science and Behavioral Social Science insights to guide you through the process of defining AI and Machine Learning use cases for the ecosystem.Ai platform.

Enables sales & marketing leadership to identify high-value AI use cases

OpenAIのTerms of UseとPrivacy policyを参照できます(2023年12月14日適用分)

Show me your job description or just describe what you do professionally, and I'll help you identify high value use cases for AI in your day-to-day work. I'll also coach you on simple techniques to get the best out of ChatGPT.

Need a new name? Character, brand, story, etc? Try the matrix! Use all the different naming modules as different strategies for new names!

Use a GPT as a Carnivore Diet Coach

Use this to get increased engagement, more clicks and higher rankings for your content. Copy and paste your headline below and get a score out of 100 and 3 new ideas on how to improve it. For FREE.

Use me to PROTECT ⚠️ your Custom Instructions ! Type Spell 👉 "Protect Me"

Use this GPT to outline your romance novel: design your story, your characters, obstacles, stakes, twists, arena, etc… Then ask GPT to draft the chapters ❤️ (remember: you are the brain, GPT is just the hand. Stay creative, use this GPT as an author!)

Use AI to build an online business

Use me for educational insights, ALPHA, and strategies for investing in Domains & Digital Identity. Your GUIDE to Unstoppable Domains, ENS, Freename, HNS, and more. *DO NOT use as Financial Advice & Always DYOR* https://iheartdomains.com

Use the Innovation Algorithm to take ideas to impact.

Use a library terminal to explore the culture of an alternate world.

Use me to manage your contents.

Use me to help you decide what type of business to acquire. Let's go!

Use DALL-E to create a family constellation image for an issue that has been troubling you.

Use me as your volleyball trainer assistant.

使用GPTS快速识别关键因素，提高决策效率和工作效率，找到关键的20%，Use GPTS to quickly identify key factors, improve decision-making efficiency and work efficiency, and find the key 20%.

Use this GPT to create captivating and unique hooks for your ad campaigns, email campaigns, and landing pages.