Best AI tools for< Retrain Models >

CodeConvert AI is an online tool that allows users to convert code across 25+ programming languages with a simple click of a button. It offers high-quality code conversion using advanced AI models, eliminating the need for manual rewriting. Users can convert code without the hassle of downloading or installing any software, ensuring privacy and security as the tool does not retain user input or generated output code. CodeConvert AI provides unlimited usage on paid plans and supports a wide range of programming languages, making it a valuable resource for developers looking to save time and effort in code conversion.

Kaba is an AI-driven foundation that enables users to create and own a Human-like Model (HLM) that updates, retrains, and applies in real-time as users navigate their lives. Kaba believes that for humans to fully harness the power of AI, the experience must mimic how humans function. The application offers features like Human-like Models, Unified Experience, Full Ownership, Contextual Data, and a journey focused on delivering speed, ensuring security, and providing a personalized experience.

Photo AI Studio is an AI-powered online platform that transforms selfies into professional photos in seconds. With a wide variety of styles to choose from, users can create realistic AI photoshoots suitable for professional profiles, social networks, dating, sports, weddings, and more. The application offers different pricing plans, a money-back guarantee, and enterprise solutions for API integration and custom models. Users retain ownership of their uploaded photos and can delete them at any time. The platform ensures data security and privacy, with secure payment processing through Stripe.

AI Chatbot Hub is a no-code AI chatbot platform that allows users to create AI agents quickly and easily. Users can build AI chatbots in minutes, customize appearance, track every chat with variables and labels, and integrate the chatbots anywhere. The platform offers features like lead collection, dynamic webhooks, file upload, human support, auto chatbot re-train, function calling, training files, sources and citations, and fine-tune intents. AI Chatbot Hub is suitable for various industries such as customer support, real estate, healthcare, restaurants, e-commerce, insurance, and contractors. It offers flexible pricing plans catering to small businesses and growing brands, with features like unlimited messages, AI agents, storage space, collaborators, tokens per chatbot, AI models, variables, conversation labels, and more.

Truffle is an AI tool designed to help teams retain knowledge and answer questions efficiently within Slack. By utilizing AI technology and analyzing past team conversations, Truffle generates documentation, making information easily searchable for everyone. It offers a simple pricing model, with a free option for a single Slack channel and a premium plan for unlimited channels. Truffle is suitable for HR, IT-support, and product teams, helping them shift focus back to core tasks, provide efficient alternatives for employees, and keep everyone up to date with the latest information.

FlashcardX is an AI-powered study tool that helps users create study materials and ace their tests. It uses AI to generate flashcards from text, articles, and textbooks, and provides users with a variety of study modes to help them learn and retain information. FlashcardX also has a community feature that allows users to share and collaborate on flashcards, and a progress tracking feature that helps users stay motivated and on track.

retrain.ai is a leading Talent Intelligence Platform powered by responsible AI. It helps organizations build a Skills-Based Organization by leveraging generative AI to hire and retain the right people. The platform offers skills architecture, talent acquisition, and talent management solutions to future-proof the workforce. With a focus on skills-driven, unbiased intelligence and data-driven algorithms, retrain.ai enables organizations to make more effective HR decisions. It also emphasizes frictionless integration with existing HR tech stack for seamless operations.

This Beach Does Not Exist is an AI application powered by StyleGAN2-ADA network, capable of generating realistic beach images. The website showcases AI-generated beach landscapes created from a dataset of approximately 20,000 images. Users can explore the training progress of the network, generate random images, utilize K-Means Clustering for image grouping, and download the network for experimentation or retraining purposes. Detailed technical information about the network architecture, dataset, training steps, and metrics is provided. The application is based on the GAN architecture developed by NVIDIA Labs and offers a unique experience of creating virtual beach scenes through AI technology.

Accentra is an AI-powered speech coach that helps users improve their pronunciation in any language. It provides real-time feedback and personalized exercises tailored to the user's native tongue. Accentra's advanced technology analyzes speech patterns and offers tailored advice to help users retrain the way they move their mouths to make sounds. With Accentra, users can hear native speakers pronounce words and receive instant pronunciation analysis to correct and redefine their skills.

Mistral is a knowledge management tool that helps users retain, apply, and succeed in their learning endeavors. It offers features such as seamless integration with popular note-taking tools, proven learning techniques for better retention, summarization of YouTube videos and text-based content, distraction-free reading, and resource management. Mistral is designed to help users overcome the challenges of information overload, wasteful distractions, and forgetfulness, empowering them to unlock their full learning potential.

RepStack is a tool for reputation enhancement, trust building, brand credibility, customer confidence, and business growth. It offers AI-powered ORM, automated engagement, quick insights, dynamic filtering, effortless Google review engagement, app integration, and time-saving features. RepStack helps businesses increase consumer spending, sales growth, and conversions.

Kaizan is an all-in-one AI platform that helps businesses measure client sentiment, increase client coverage, and optimize productivity. It uses AI to analyze client communication and identify the root causes affecting clients from renewing and scaling. Kaizan also provides AI-generated client development plans that help businesses close more deals and increase revenue.

Zaplify is an AI-powered tool designed to help users find and reach potential customers, investors, and partners through personalized communication on Email and LinkedIn. It offers features such as AI-generated messages and follow-ups, prospecting, combined LinkedIn & Email management, integrations with CRM systems, and personalized communication tailored to individual users. Zaplify aims to streamline sales conversations, save time, and enhance user productivity by leveraging AI technology.

ByteCap is an AI-powered video editing tool that allows users to create engaging and captivating videos with custom AI captions. With advanced speech recognition technology, users can auto-create accurate captions in multiple languages. The tool also enables the creation of stunning faceless videos by incorporating AI images, voice, and captions. Users can personalize their videos with custom captions, images, emojis, effects, music, and highlights. ByteCap offers a range of features such as customizable AI faceless videos, support for various caption formats, trendy sounds, background music, and expertly crafted caption themes. It is a versatile solution for video editors, content creators, podcasters, and streamers to enhance their video content and reach a wider audience.

Bytecap is an AI application that allows users to immerse their videos with custom AI captions. It offers features such as auto creation of 99% accurate captions using advanced speech recognition, customization of captions with fonts, colors, emojis, effects, music, and highlights, and AI-generated hook titles and descriptions for boosting engagement. Bytecap supports over 99 languages, provides complete caption control, and offers trendy sounds and background music options. The application caters to video editors, content creators, podcasters, and streamers, enabling them to save time, expand reach, and increase brand awareness. Bytecap ensures privacy and security, offers free trial options, and allows users to edit captions after creation.

GetQuiz is an AI companion designed to enhance reading efficiency, improve memory retention, and achieve a deeper understanding of the material. It helps users understand and memorize through practice by generating quizzes based on uploaded content. The tool offers personalized quizzes, performance reviews, and scheduled quizzes to aid in learning and retention. GetQuiz seamlessly integrates with Telegram for easy access and convenience.

Firstup is an intelligent communication platform that helps organizations create and deliver personalized communication campaigns to their employees. The platform uses AI to analyze employee data and behavior to determine the most effective way to reach each individual. Firstup also provides a variety of tools to help organizations measure the effectiveness of their communication campaigns and track employee engagement. With Firstup, organizations can improve employee communication, increase engagement, and drive business results.

Windsor is a personalized video platform that helps businesses create and send personalized videos to their customers. With Windsor, businesses can record one video and use Windsor's AI platform to send millions of personalized videos to their customers. Windsor's videos can be used to increase repurchase rates, increase recovered carts, re-engage existing customers, and more.

Vocads is a conversational voice AI platform that reinvents the survey experience. It allows companies to collect richer data, improve their strategy, and retain clients through voice surveys. Vocads also provides employee voice surveys to engage employees, improve management, and upgrade company culture. The platform is easy to use with its no-code design, allowing users to create voice surveys from scratch instinctively and save templates for reuse. Vocads is GDPR compliant and offers data sovereignty, giving brands full control over their data.

Ravyn is an AI-powered sales tool that helps businesses capture insights, build stronger relationships with clients, and close deals faster. It offers features such as automatic insight capture, enhanced relationship management, advanced segmentation, sales personalization, and productivity tools. Ravyn integrates with popular CRMs and can be accessed via a Chrome extension for added convenience.

The STM32 AI model zoo is a collection of reference machine learning models optimized to run on STM32 microcontrollers. It provides a large collection of application-oriented models ready for re-training, scripts for easy retraining from user datasets, pre-trained models on reference datasets, and application code examples generated from user AI models. The project offers training scripts for transfer learning or training custom models from scratch. It includes performances on reference STM32 MCU and MPU for float and quantized models. The project is organized by application, providing step-by-step guides for training and deploying models.

RouteLLM is a framework for serving and evaluating LLM routers. It allows users to launch an OpenAI-compatible API that routes requests to the best model based on cost thresholds. Trained routers are provided to reduce costs while maintaining performance. Users can easily extend the framework, compare router performance, and calibrate cost thresholds. RouteLLM supports multiple routing strategies and benchmarks, offering a lightweight server and evaluation framework. It enables users to evaluate routers on benchmarks, calibrate thresholds, and modify model pairs. Contributions for adding new routers and benchmarks are welcome.

AMchat is a large language model that integrates advanced math concepts, exercises, and solutions. The model is based on the InternLM2-Math-7B model and is specifically designed to answer advanced math problems. It provides a comprehensive dataset that combines Math and advanced math exercises and solutions. Users can download the model from ModelScope or OpenXLab, deploy it locally or using Docker, and even retrain it using XTuner for fine-tuning. The tool also supports LMDeploy for quantization, OpenCompass for evaluation, and various other features for model deployment and evaluation. The project contributors have provided detailed documentation and guides for users to utilize the tool effectively.

This is a super customizable, concise, user-friendly, and efficient toolkit for training and aligning LLMs. It provides support for various methods such as SFT, Distillation, DPO, ORPO, CPO, SimPO, SMPO, Non-pair Reward Modeling, Special prompts basket format, Rejection Sampling, Scoring using RM, Effective FAISS Map-Reduce Deduplication, LLM scoring using RM, NER, CLIP, Classification, and STS. The toolkit offers key libraries like PyTorch, Transformers, TRL, Accelerate, FSDP, DeepSpeed, and tools for result logging with wandb or clearml. It allows mixing datasets, generation and logging in wandb/clearml, vLLM batched generation, and aligns models using the SMPO method.

This repository is dedicated to the pruning of large language models (LLMs). It aims to serve as a comprehensive resource for researchers and practitioners interested in the efficient reduction of model size while maintaining or enhancing performance. The repository contains various papers, summaries, and links related to different pruning approaches for LLMs, along with author information and publication details. It covers a wide range of topics such as structured pruning, unstructured pruning, semi-structured pruning, and benchmarking methods. Researchers and practitioners can explore different pruning techniques, understand their implications, and access relevant resources for further study and implementation.

This repository provides an implementation of QA-MDT, integrating state-of-the-art models for music generation. It offers a Quality-Aware Masked Diffusion Transformer for enhanced music generation. The code is based on various repositories like AudioLDM, PixArt-alpha, MDT, AudioMAE, and Open-Sora. The implementation allows for training and fine-tuning the model with different strategies and datasets. The repository also includes instructions for preparing datasets in LMDB format and provides a script for creating a toy LMDB dataset. The model can be used for music generation tasks, with a focus on quality injection to enhance the musicality of generated music.

OpenMusic is a repository providing an implementation of QA-MDT, a Quality-Aware Masked Diffusion Transformer for music generation. The code integrates state-of-the-art models and offers training strategies for music generation. The repository includes implementations of AudioLDM, PixArt-alpha, MDT, AudioMAE, and Open-Sora. Users can train or fine-tune the model using different strategies and datasets. The model is well-pretrained and can be used for music generation tasks. The repository also includes instructions for preparing datasets, training the model, and performing inference. Contact information is provided for any questions or suggestions regarding the project.

Awesome LLM compression research papers and tools to accelerate LLM training and inference.

CredSweeper is a tool designed to detect credentials like tokens, passwords, and API keys in directories or files. It helps users identify potential exposure of sensitive information by scanning lines, filtering, and utilizing an AI model. The tool reports lines containing possible credentials, their location, and the expected type of credential.

Mergekit is a toolkit for merging pre-trained language models. It uses an out-of-core approach to perform unreasonably elaborate merges in resource-constrained situations. Merges can be run entirely on CPU or accelerated with as little as 8 GB of VRAM. Many merging algorithms are supported, with more coming as they catch my attention.

A fine-tuning guide for both OpenAI and Open-Source Large Language Models on Azure. Fine-Tuning retrains an existing pre-trained LLM using example data, resulting in a new 'custom' fine-tuned LLM optimized for task-specific examples. Use cases include improving LLM performance on specific tasks and introducing information not well represented by the base LLM model. Suitable for cases where latency is critical, high accuracy is required, and clear evaluation metrics are available. Learning path includes labs for fine-tuning GPT and Llama2 models via Dashboards and Python SDK.

This repository is a collection of resources focused on interpretability in large language models (LLMs). It aims to help beginners get started in the area and keep researchers updated on the latest progress. It includes libraries, blogs, tutorials, forums, tools, programs, papers, and more related to interpretability in LLMs.

HelixML is a private GenAI platform that allows users to deploy the best of open AI in their own data center or VPC while retaining complete data security and control. It includes support for fine-tuning models with drag-and-drop functionality. HelixML brings the best of open source AI to businesses in an ergonomic and scalable way, optimizing the tradeoff between GPU memory and latency.

This repository contains Refact WebUI for fine-tuning and self-hosting of code models, which can be used inside Refact plugins for code completion and chat. Users can fine-tune open-source code models, self-host them, download and upload Lloras, use models for code completion and chat inside Refact plugins, shard models, host multiple small models on one GPU, and connect GPT-models for chat using OpenAI and Anthropic keys. The repository provides a Docker container for running the self-hosted server and supports various models for completion, chat, and fine-tuning. Refact is free for individuals and small teams under the BSD-3-Clause license, with custom installation options available for GPU support. The community and support include contributing guidelines, GitHub issues for bugs, a community forum, Discord for chatting, and Twitter for product news and updates.

LLM-Pruner is a tool for structural pruning of large language models, allowing task-agnostic compression while retaining multi-task solving ability. It supports automatic structural pruning of various LLMs with minimal human effort. The tool is efficient, requiring only 3 minutes for pruning and 3 hours for post-training. Supported LLMs include Llama-3.1, Llama-3, Llama-2, LLaMA, BLOOM, Vicuna, and Baichuan. Updates include support for new LLMs like GQA and BLOOM, as well as fine-tuning results achieving high accuracy. The tool provides step-by-step instructions for pruning, post-training, and evaluation, along with a Gradio interface for text generation. Limitations include issues with generating repetitive or nonsensical tokens in compressed models and manual operations for certain models.

Awesome-LLM-Quantization is a curated list of resources related to quantization techniques for Large Language Models (LLMs). Quantization is a crucial step in deploying LLMs on resource-constrained devices, such as mobile phones or edge devices, by reducing the model's size and computational requirements.

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