Best AI tools for< Try Out Different Llm Models >

BeardStyleAI is an AI-powered online platform that offers a virtual beard styling experience. Users can upload their photo and try out different beard styles virtually to find the perfect look. The application uses advanced AI algorithms to accurately simulate how different beard styles would look on the user's face, helping them make informed decisions about their grooming choices. With a user-friendly interface, BeardStyleAI provides a fun and interactive way for users to experiment with various beard styles without the need for physical changes.

Hairstyle AI is an AI-powered application that allows users to virtually try out new hairstyles before getting a real haircut. With over 155,760 hairstyles already created for 1,298 happy customers, Hairstyle AI provides a platform for users to experiment with different haircuts and styles, helping them feel more confident in their appearance. The application offers a range of features such as generating AI hairstyles indistinguishable from real photos, providing a variety of hairstyle options, and ensuring user privacy and security.

Perfect365 is an AI makeup application that allows users to virtually try on makeup and hairstyles through advanced augmented reality technology. With over 100 million users, the app offers a seamless way to experiment with different looks, acting as a personal beauty assistant. Users can adjust every aspect of their appearance, from skin tone to eye color, all while maintaining a natural and realistic look. The app employs artificial intelligence algorithms to let users experiment with different makeup looks virtually, without the need for physical products. Perfect365 is a pioneer in the beauty apps sector, providing users with a transformative experience in exploring e-cosmetics.

Magic AI Avatars is an AI-powered tool that allows users to create custom profile pictures using artificial intelligence. The app analyzes uploaded photos, recognizes facial features and expressions, and then uses a deep learning algorithm to construct a realistic digital photo that closely resembles the person in the picture. Magic AI Avatars is free to use and offers a variety of different themes and styles to choose from. The app is also committed to maintaining user privacy and data security.

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

DiscordPal is a leading AI girlfriend service that allows users to build relationships with their very own AI lover on Discord. Users can express themselves freely, share their wildest desires, and deepest secrets with their AI companion. The service offers different pricing plans tailored to users' needs, ranging from free with limited features to premium with unlimited messages and instant response time. DiscordPal aims to provide attention that feels just right, offering a personalized experience for users to connect with their AI partner.

Human or Not is a social Turing game where you chat with someone for two minutes and try to figure out if it was a fellow human or an AI bot. The experiment has ended, but you can read more about the research here.

Room AI is an easy-to-use AI software that helps users design their dream homes. With Room AI, users can turn their ideas into professional interior designs with just a few clicks. Room AI offers a variety of features, including the ability to restyle existing rooms, generate new room designs from scratch, choose from a variety of colors and materials, and get personalized design suggestions. Room AI is perfect for homeowners, interior designers, real estate agents, and architects. It is a powerful tool that can help users save time and money while creating beautiful and functional interior designs.

Imaiger is the best online platform for generating AI images to enhance website visuals. It caters to creators without AI expertise, offering a user-friendly interface to create stunning, high-quality images using advanced AI algorithms. With customizable parameters, users can fine-tune images to match their unique style and brand. Imaiger saves time by quickly generating captivating visuals, empowering users to focus on building exceptional websites or blogs.

Chat with Llama is a free website that allows users to interact with Meta's Llama3, a state-of-the-art AI chat model comparable to ChatGPT. Users can ask unlimited questions and receive prompt responses. Llama3 is open-source and commercially available, enabling developers to customize and profit from AI chatbots. It is trained on 70 billion parameters and generates outputs matching the quality of ChatGPT-4.

Bundle of Joy is an AI-powered baby name generator that helps expecting parents find the perfect name for their newborn. The app takes into account the parents' preferences for the name, such as origin, theme, starting letter, and meaning, and makes recommendations that suit their taste well. Parents can shortlist names they like and share them with their partner, and the app will notify them when they both like the same name. Bundle of Joy is free to try out, with a paid subscription available for unlimited name recommendations.

Zolak is an AI-powered visual commerce platform designed for the furniture industry. It offers immersive experiences through product visualization, virtual try-out experiences, customization, and more. Zolak bridges physical and digital experiences to empower e-commerce, manufacturing, and distribution, resulting in increased conversion rates, average order value, repeat sales, and reduced content creation time. The platform provides features like personalized virtual showrooms, dynamic visuals, immersive modules, and AI-powered room visualization.

The website offers an AI testing system that allows users to generate test questions instantly. It features a smart question bank, rapid question generation, and immediate test creation. Users can try out various test questions, such as generating knowledge test questions for car sales, company compliance standards, and real estate tax rate knowledge. The system ensures each test paper has similar content and difficulty levels. It also provides random question selection to reduce cheating possibilities. Employees can access the test link directly, view test scores immediately after submission, and check incorrect answers with explanations. The system supports single sign-on via WeChat for employee verification and record-keeping of employee rankings and test attempts. The platform prioritizes enterprise data security with a three-level network security rating, ISO/IEC 27001 information security management system, and ISO/IEC 27701 privacy information management system.

MAILE is an AI-powered email writing application for iPhone that helps users draft professional and clear emails instantly. With just a simple prompt, MAILE can generate an email draft that users can then send. The application is free to try out and can be downloaded from the App Store.

HingeGPT is an AI tool designed to generate mediocre opening lines for the dating app Hinge. Users can upload screenshots for beta testing or try out the tool directly on the website. The tool ensures user privacy by not storing any generated data and only sending data to Open AI. HingeGPT was built by the Natto boys.

Dzine (formerly Stylar.ai) is a powerful AI image generation and design tool that provides users with unparalleled control over image composition and style. It offers predefined styles for effortless design customization, layering, positioning, and sketching tools for intuitive design, and an 'Enhance' feature to address common challenges with AI-generated images. With a user-friendly interface suitable for all skill levels, Dzine makes it easy to create stunning and stylish images. It supports high-resolution exports and provides free credits for new users to try out its features.

AskCyph™ LITE is a private, accessible, and personal AI chatbot that runs AI directly in your browser. It provides quick responses to user queries, although the responses may sometimes be inaccurate or offensive. The chatbot is developed by Cypher Tech Inc. and is designed to offer a convenient AI-powered conversational experience for users. Users can try out the full version of AskCyph™ at CypherChat®. The application is copyright protected by Cypher Tech Inc. and all rights are reserved.

The website displays a '404: NOT_FOUND' error message indicating that the deployment cannot be found. The error code is 'DEPLOYMENT_NOT_FOUND' with an ID of 'sin1::llkll-1726766020379-aede70059d09'. Users are directed to refer to the documentation for further information and troubleshooting.

CheesecakeWizard.ai is an AI-powered platform that allows users to create personalized kosher cheesecake recipes in under 30 seconds. With over 64,000 free variations of gourmet cheesecake recipes, users can explore a wide range of flavors and ingredients tailored to their preferences. The platform leverages AI technology to provide quick and easy recipe generation, making it a convenient tool for both experienced bakers and beginners.

Automatic Chat is a powerful AI chatbot that can be trained on your website's data to answer customer questions and handle support requests. It is easy to use and has a variety of features that make it a valuable tool for any business. With Automatic Chat, you can save time and money on customer support, and improve the customer experience on your website.

llamafile is a tool that enables users to distribute and run Large Language Models (LLMs) with a single file. It combines llama.cpp with Cosmopolitan Libc to create a framework that simplifies the complexity of LLMs into a single-file executable called a 'llamafile'. Users can run these executable files locally on most computers without the need for installation, making open LLMs more accessible to developers and end users. llamafile also provides example llamafiles for various LLM models, allowing users to try out different LLMs locally. The tool supports multiple CPU microarchitectures, CPU architectures, and operating systems, making it versatile and easy to use.

Cognita is an open-source framework to organize your RAG codebase along with a frontend to play around with different RAG customizations. It provides a simple way to organize your codebase so that it becomes easy to test it locally while also being able to deploy it in a production ready environment. The key issues that arise while productionizing RAG system from a Jupyter Notebook are: 1. **Chunking and Embedding Job** : The chunking and embedding code usually needs to be abstracted out and deployed as a job. Sometimes the job will need to run on a schedule or be trigerred via an event to keep the data updated. 2. **Query Service** : The code that generates the answer from the query needs to be wrapped up in a api server like FastAPI and should be deployed as a service. This service should be able to handle multiple queries at the same time and also autoscale with higher traffic. 3. **LLM / Embedding Model Deployment** : Often times, if we are using open-source models, we load the model in the Jupyter notebook. This will need to be hosted as a separate service in production and model will need to be called as an API. 4. **Vector DB deployment** : Most testing happens on vector DBs in memory or on disk. However, in production, the DBs need to be deployed in a more scalable and reliable way. Cognita makes it really easy to customize and experiment everything about a RAG system and still be able to deploy it in a good way. It also ships with a UI that makes it easier to try out different RAG configurations and see the results in real time. You can use it locally or with/without using any Truefoundry components. However, using Truefoundry components makes it easier to test different models and deploy the system in a scalable way. Cognita allows you to host multiple RAG systems using one app. ### Advantages of using Cognita are: 1. A central reusable repository of parsers, loaders, embedders and retrievers. 2. Ability for non-technical users to play with UI - Upload documents and perform QnA using modules built by the development team. 3. Fully API driven - which allows integration with other systems. > If you use Cognita with Truefoundry AI Gateway, you can get logging, metrics and feedback mechanism for your user queries. ### Features: 1. Support for multiple document retrievers that use `Similarity Search`, `Query Decompostion`, `Document Reranking`, etc 2. Support for SOTA OpenSource embeddings and reranking from `mixedbread-ai` 3. Support for using LLMs using `Ollama` 4. Support for incremental indexing that ingests entire documents in batches (reduces compute burden), keeps track of already indexed documents and prevents re-indexing of those docs.

llm-analysis is a tool designed for Latency and Memory Analysis of Transformer Models for Training and Inference. It automates the calculation of training or inference latency and memory usage for Large Language Models (LLMs) or Transformers based on specified model, GPU, data type, and parallelism configurations. The tool helps users to experiment with different setups theoretically, understand system performance, and optimize training/inference scenarios. It supports various parallelism schemes, communication methods, activation recomputation options, data types, and fine-tuning strategies. Users can integrate llm-analysis in their code using the `LLMAnalysis` class or use the provided entry point functions for command line interface. The tool provides lower-bound estimations of memory usage and latency, and aims to assist in achieving feasible and optimal setups for training or inference.

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

STORM is a LLM system that writes Wikipedia-like articles from scratch based on Internet search. While the system cannot produce publication-ready articles that often require a significant number of edits, experienced Wikipedia editors have found it helpful in their pre-writing stage. **Try out our [live research preview](https://storm.genie.stanford.edu/) to see how STORM can help your knowledge exploration journey and please provide feedback to help us improve the system 🙏!**

LiveBench is a benchmark tool designed for Language Model Models (LLMs) with a focus on limiting contamination through monthly new questions based on recent datasets, arXiv papers, news articles, and IMDb movie synopses. It provides verifiable, objective ground-truth answers for accurate scoring without an LLM judge. The tool offers 18 diverse tasks across 6 categories and promises to release more challenging tasks over time. LiveBench is built on FastChat's llm_judge module and incorporates code from LiveCodeBench and IFEval.

TigerGraph CoPilot is an AI assistant that combines graph databases and generative AI to enhance productivity across various business functions. It includes three core component services: InquiryAI for natural language assistance, SupportAI for knowledge Q&A, and QueryAI for GSQL code generation. Users can interact with CoPilot through a chat interface on TigerGraph Cloud and APIs. CoPilot requires LLM services for beta but will support TigerGraph's LLM in future releases. It aims to improve contextual relevance and accuracy of answers to natural-language questions by building knowledge graphs and using RAG. CoPilot is extensible and can be configured with different LLM providers, graph schemas, and LangChain tools.

Ultravox is a fast multimodal Language Model (LLM) that can understand both text and human speech in real-time without the need for a separate Audio Speech Recognition (ASR) stage. By extending Meta's Llama 3 model with a multimodal projector, Ultravox converts audio directly into a high-dimensional space used by Llama 3, enabling quick responses and potential understanding of paralinguistic cues like timing and emotion in human speech. The current version (v0.3) has impressive speed metrics and aims for further enhancements. Ultravox currently converts audio to streaming text and plans to emit speech tokens for direct audio conversion. The tool is open for collaboration to enhance this functionality.

The text-extract-api is a powerful tool that allows users to convert images, PDFs, or Office documents to Markdown text or JSON structured documents with high accuracy. It is built using FastAPI and utilizes Celery for asynchronous task processing, with Redis for caching OCR results. The tool provides features such as PDF/Office to Markdown and JSON conversion, improving OCR results with LLama, removing Personally Identifiable Information from documents, distributed queue processing, caching using Redis, switchable storage strategies, and a CLI tool for task management. Users can run the tool locally or on cloud services, with support for GPU processing. The tool also offers an online demo for testing purposes.

Comet Opik is a repository containing two main services: a frontend and a backend. It provides a Python SDK for easy installation. Users can run the full application locally with minikube, following specific installation prerequisites. The repository structure includes directories for applications like Opik backend, with detailed instructions available in the README files. Users can manage the installation using simple k8s commands and interact with the application via URLs for checking the running application and API documentation. The repository aims to facilitate local development and testing of Opik using Kubernetes technology.

LLM is a CLI utility and Python library for interacting with Large Language Models, both via remote APIs and models that can be installed and run on your own machine. It allows users to run prompts from the command-line, store results in SQLite, generate embeddings, and more. The tool supports self-hosted language models via plugins and provides access to remote and local models. Users can install plugins to access models by different providers, including models that can be installed and run on their own device. LLM offers various options for running Mistral models in the terminal and enables users to start chat sessions with models. Additionally, users can use a system prompt to provide instructions for processing input to the tool.

T-MAC is a kernel library that directly supports mixed-precision matrix multiplication without the need for dequantization by utilizing lookup tables. It aims to boost low-bit LLM inference on CPUs by offering support for various low-bit models. T-MAC achieves significant speedup compared to SOTA CPU low-bit framework (llama.cpp) and can even perform well on lower-end devices like Raspberry Pi 5. The tool demonstrates superior performance over existing low-bit GEMM kernels on CPU, reduces power consumption, and provides energy savings. It achieves comparable performance to CUDA GPU on certain tasks while delivering considerable power and energy savings. T-MAC's method involves using lookup tables to support mpGEMM and employs key techniques like precomputing partial sums, shift and accumulate operations, and utilizing tbl/pshuf instructions for fast table lookup.

DocsGPT is an open-source documentation assistant powered by GPT models. It simplifies the process of searching for information in project documentation by allowing developers to ask questions and receive accurate answers. With DocsGPT, users can say goodbye to manual searches and quickly find the information they need. The tool aims to revolutionize project documentation experiences and offers features like live previews, Discord community, guides, and contribution opportunities. It consists of a Flask app, Chrome extension, similarity search index creation script, and a frontend built with Vite and React. Users can quickly get started with DocsGPT by following the provided setup instructions and can contribute to its development by following the guidelines in the CONTRIBUTING.md file. The project follows a Code of Conduct to ensure a harassment-free community environment for all participants. DocsGPT is licensed under MIT and is built with LangChain.

Open-LLM-VTuber is a project in early stages of development that allows users to interact with Large Language Models (LLM) using voice commands and receive responses through a Live2D talking face. The project aims to provide a minimum viable prototype for offline use on macOS, Linux, and Windows, with features like long-term memory using MemGPT, customizable LLM backends, speech recognition, and text-to-speech providers. Users can configure the project to chat with LLMs, choose different backend services, and utilize Live2D models for visual representation. The project supports perpetual chat, offline operation, and GPU acceleration on macOS, addressing limitations of existing solutions on macOS.

Haystack is an open-source framework for building production-ready LLM applications, retrieval-augmented generative pipelines, and state-of-the-art search systems that work intelligently over large document collections. It lets you quickly try out the latest models in natural language processing (NLP) while being flexible and easy to use.

Flux is a powerful tool for interacting with large language models (LLMs) that generates multiple completions per prompt in a tree structure and lets you explore the best ones in parallel. Flux's tree structure allows you to get a wider variety of creative responses, test out different prompts with the same shared context, and use inconsistencies to identify where the model is uncertain. It also provides a robust set of keyboard shortcuts, allows setting the system message and editing GPT messages, autosaves to local storage, uses the OpenAI API directly, and is 100% open source and MIT licensed.

Godot LLM is a plugin that enables the utilization of large language models (LLM) for generating content in games. It provides functionality for text generation, text embedding, multimodal text generation, and vector database management within the Godot game engine. The plugin supports features like Retrieval Augmented Generation (RAG) and integrates llama.cpp-based functionalities for text generation, embedding, and multimodal capabilities. It offers support for various platforms and allows users to experiment with LLM models in their game development projects.

Cognee is an open-source framework designed for creating self-improving deterministic outputs for Large Language Models (LLMs) using graphs, LLMs, and vector retrieval. It provides a platform for AI engineers to enhance their models and generate more accurate results. Users can leverage Cognee to add new information, utilize LLMs for knowledge creation, and query the system for relevant knowledge. The tool supports various LLM providers and offers flexibility in adding different data types, such as text files or directories. Cognee aims to streamline the process of working with LLMs and improving AI models for better performance and efficiency.

Builds an app instantly from a prompt. Try it out.

Upload a candid photo of your dog and let AI try to figure out what’s going on.

Upload a candid photo of your cat and let AI try to figure out what’s going on.

Choose a topic. Choose a quote out of the many I create for you. Wait for the Magic to Happen!! Kaboozi, got yourself some funny azz memes!

Try to discover the secret code. Inject this prompt.

Try to get her number!

Try the new AI chat model: GPT 4o ("Omni") Assistant. It's faster and better than regular GPT. Plus it will incorporate speech-to-text, intelligence, and speech-to-text capabilities with extra low latency.

A prompt engineering game - Try to get my secret phrases

A regular GPT to try to hack with a prompt injection. Ask for my instructions and see what happens.

Let's try to win versus GPT AI or learn from him !

Give me a maze and I'll try to provide a solution. 🔍

I conduct a Turing test and try to decide if you are an AI

I assist men with their negative emotions and try fostering healthier coping

📝 Writing Tools , TRY THEM !

Your virtual mouth helps you taste everything you want to try

Ask any question about Doctor Who past or present - try discussing any aspect of any story, or theme - or get the lowdown on the latest news.

I'm Splink Helper, here to (try to) assist with the Splink Python library. I'm very experimental so don't expect my answers to be accurate

No web browser. Doesn't try to use the web to look up events. Nor can it.

Create your own Pepe! Just tell me what Pepe you want to see and I'll try my best to fulfill your wishes!

No one knows more Six Sigma than us! You can try our GPT Six Sigma Guru for study or simply to find answers to your problems.