Best AI tools for< Push Models >

Replicate is an AI tool that allows users to run and fine-tune open-source models, deploy custom models at scale, and generate images, text, videos, music, and speech with just one line of code. It provides a platform for the community to contribute and explore thousands of production-ready AI models, enabling users to push the boundaries of AI beyond academic papers and demos. With features like fine-tuning models, deploying custom models, and scaling on Replicate, users can easily create and deploy AI solutions for various tasks.

Haechi AI is an all-in-one AI platform that provides access to advanced AI models for various purposes such as education, content creation, retail, development, and innovation. It offers a range of features including creating questions, completing homework, correcting grammar, writing theses, developing projects, generating images, summarizing texts, translating languages, enhancing presentations, and more. The platform is designed to empower users with powerful tools and fine-tuned models to boost efficiency and productivity in their tasks. With Haechi AI, users can leverage cutting-edge AI technology without the need for downloading or installing anything, enabling them to push the boundaries of technology effortlessly.

K2 AI is an AI consulting company that offers a range of services from ideation to impact, focusing on AI strategy, implementation, operation, and research. They support and invest in emerging start-ups and push knowledge boundaries in AI. The company helps executives assess organizational strengths, prioritize AI use cases, develop sustainable AI strategies, and continuously monitor and improve AI solutions. K2 AI also provides executive briefings, model development, and deployment services to catalyze AI initiatives. The company aims to deliver business value through rapid, user-centric, and data-driven AI development.

IBM is a leading technology company that offers a wide range of AI and machine learning solutions to help businesses innovate and grow. From AI models to cloud services, IBM provides cutting-edge technology to address various business challenges. The company also focuses on AI ethics and offers training programs to enhance skills in cybersecurity and data analytics. With a strong emphasis on research and development, IBM continues to push the boundaries of technology to solve real-world problems and drive digital transformation across industries.

Polyhive is a generative AI platform that empowers 3D professionals to create high-quality 3D models, textures, and animations with unprecedented speed and ease. Its advanced algorithms and intuitive interface make it accessible to artists of all skill levels, enabling them to push the boundaries of creativity and productivity.

Imbue is a company focused on building AI systems that can reason and code, with the goal of rekindling the dream of the personal computer by creating practical AI agents that can accomplish larger goals and work safely in the real world. The company emphasizes innovation in AI technology and aims to push the boundaries of what AI can achieve in various fields.

ArtificialStudio is an AI-powered platform that enables users to create multimedia content with the help of artificial intelligence technology. The platform offers a wide range of AI models for creating images, music, text, and videos, all in one place. Users can enhance their creativity and push the limits of what they can achieve by leveraging the power of AI. With a user-friendly interface and quick setup process, ArtificialStudio is designed to maximize user creativity and efficiency in content creation.

fal is an AI platform that offers cutting-edge AI models and tools for image and video generation, editing, and audio processing. It partners with leading AI companies to bring state-of-the-art technology to its users, enabling them to create stunning visual and audio content with ease. fal is at the forefront of the AI-driven media creation revolution, providing developers and creators with advanced tools to push the boundaries of creativity.

Spin Rewriter AI is an article rewriter that uses artificial intelligence to generate unique, human-quality content. It is the only rewriter that uses the power of Large Language Models (LLMs) to extract the meaning of your articles on an entirely different level. This means that Spin Rewriter AI can pinpoint the meaning of every word in your article and how each word relates to every other word in its context. This allows Spin Rewriter AI to create human-quality readable articles with ZERO machine-generated footprint at a push of a button.

Contlo is an AI-powered marketing platform that helps businesses create personalized campaigns and automated customer journeys across multiple channels, including email, SMS, WhatsApp, web push, and social media. It also offers features such as audience management, data collection, and business insights.

Contlo is an AI-powered marketing platform that helps businesses create personalized campaigns and automated customer journeys across multiple channels, including email, SMS, WhatsApp, web push, and social media. It uses a brand's own generative AI model to optimize marketing efforts and drive customer engagement. Contlo also offers audience management, data collection, and business insights to help businesses make informed decisions.

VERSA is a text-based adventure game that allows users to choose their own adventure and customize their companion. Users can choose from a variety of settings, including sci-fi, wild-west, horror, drama, war, university, or fantasy. They can also choose a male, female, or non-binary companion to be their friend, romance, or enemy. VERSA is designed to push the limits of what's possible with a 1-gem model, while keeping it as entertaining as possible.

Push Lap Wholesale is a powerful Amazon wholesale sourcing tool that helps you find profitable products, save time, and hit your targets. With 97% matching accuracy, you can quickly scan your bulk price lists and never miss a potential profitable product. Our world-class platform provides you with detailed product information, including Keepa charts, historical averages, profit calculations, variation data, competition analysis, and multipack adjustments. You can also create and manage suppliers' purchase lists, export them as CSV files, and get the total cost and profit of each list. Additionally, we provide you with 500+ auto-ungate ASINs for free and access to a list of over 4,000 vetted and verified distributors with contact details.

NamePepper is a free AI business name generator tool that helps users unlock brandable names for their businesses. The tool generates hundreds of creative and iconic business names tailored to the user's preferences and industry. Users can quickly check domain availability, save favorite names, and get feedback from others. NamePepper aims to simplify the naming process and save users time and effort in creating a memorable brand identity.

Heartspace AI News-Blog is an AI-powered platform that delivers the latest news and articles in the field of artificial intelligence. The platform is curated by Nirvana AI and features independent editorial decisions free from advertising. Heartspace AI News-Blog covers a wide range of topics related to AI, including advancements, applications, and impacts across various industries.

RapidAI is a software platform powered by AI that focuses on aneurysm, pulmonary embolism, and stroke. It offers a range of products and solutions designed to improve patient care and efficiency in hospitals. The technology is clinically rooted and revolutionary, developed by clinicians for clinicians. RapidAI's AI-based platform is known for its speed, scalability, and security, with customization options to meet specific hospital needs. The platform has been trusted by 2,200 hospitals, impacting 90 million lives over 15 years of technological development.

CodiumAI is an AI-powered tool that helps developers write better code by generating meaningful tests, finding edge cases and suspicious behaviors, and suggesting improvements. It integrates with popular IDEs and Git platforms, and supports a wide range of programming languages. CodiumAI is designed to help developers save time, improve code quality, and stay confident in their code.

ListenUp! is an AI-powered discovery tool designed for busy product teams to streamline the process of collecting and analyzing user feedback. The application automatically centralizes user feedback, orders it, and scales the process with AI technology. It helps product teams understand their users better, make informed decisions, and deliver more value efficiently. ListenUp! offers features such as automated feedback capture, real-time pattern suggestions, and transcribing user interviews with multiple speakers. The tool aims to enhance user understanding, improve product development, and boost team performance.

Morphlin is an AI-powered trading platform that empowers traders with smart tools and insights to make informed decisions. The platform offers a powerful AI MorphlinGPT API Key Pair for smart trading on Binance. Users can access real-time information, investment analysis, and professional research reports from third-party experts. Morphlin integrates data from mainstream markets and exchanges, providing clear information through a dynamic dashboard. The platform's core values include offering a good environment for researchers to share opinions and a referral program that shares 10% of Morphlin fees with community KOLs. With Morphlin, traders can trade wisely and efficiently, backed by AI technology and comprehensive market data.

Phrasee is a generative AI platform that helps enterprise marketers create and optimize marketing messages across various channels, including email, SMS, push notifications, web and app, and social media. It uses AI to generate billions of marketing messages tailored to specific audiences and brands, ensuring consistent experiences and maximizing customer engagement. Phrasee's platform provides marketers with tools for testing, optimizing, and personalizing content, enabling them to improve performance, conversions, and ROI.

Gollama is a tool designed for managing Ollama models through a Text User Interface (TUI). Users can list, inspect, delete, copy, and push Ollama models, as well as link them to LM Studio. The application offers interactive model selection, sorting by various criteria, and actions using hotkeys. It provides features like sorting and filtering capabilities, displaying model metadata, model linking, copying, pushing, and more. Gollama aims to be user-friendly and useful for managing models, especially for cleaning up old models.

This repository contains the training and inference code needed to replicate the winning solution to the AI Mathematical Olympiad - Progress Prize 1. It consists of fine-tuning DeepSeekMath-Base 7B, high-quality training datasets, a self-consistency decoding algorithm, and carefully chosen validation sets. The training methodology involves Chain of Thought (CoT) and Tool Integrated Reasoning (TIR) training stages. Two datasets, NuminaMath-CoT and NuminaMath-TIR, were used to fine-tune the models. The models were trained using open-source libraries like TRL, PyTorch, vLLM, and DeepSpeed. Post-training quantization to 8-bit precision was done to improve performance on Kaggle's T4 GPUs. The project structure includes scripts for training, quantization, and inference, along with necessary installation instructions and hardware/software specifications.

The Alignment Handbook provides robust training recipes for continuing pretraining and aligning language models with human and AI preferences. It includes techniques such as continued pretraining, supervised fine-tuning, reward modeling, rejection sampling, and direct preference optimization (DPO). The handbook aims to fill the gap in public resources on training these models, collecting data, and measuring metrics for optimal downstream performance.

LangTest is a comprehensive evaluation library for custom LLM and NLP models. It aims to deliver safe and effective language models by providing tools to test model quality, augment training data, and support popular NLP frameworks. LangTest comes with benchmark datasets to challenge and enhance language models, ensuring peak performance in various linguistic tasks. The tool offers more than 60 distinct types of tests with just one line of code, covering aspects like robustness, bias, representation, fairness, and accuracy. It supports testing LLMS for question answering, toxicity, clinical tests, legal support, factuality, sycophancy, and summarization.

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.

AceCoder is a tool that introduces a fully automated pipeline for synthesizing large-scale reliable tests used for reward model training and reinforcement learning in the coding scenario. It curates datasets, trains reward models, and performs RL training to improve coding abilities of language models. The tool aims to unlock the potential of RL training for code generation models and push the boundaries of LLM's coding abilities.

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.

HuggingArxiv is a tool designed to push research papers related to large language models from Arxiv. It helps users stay updated with the latest developments in the field of large language models by providing notifications and access to relevant papers.

AI-Codereview-Gitlab is an automated code review tool based on large models, designed to help development teams conduct intelligent code reviews quickly during code merging or submission. It supports multiple large models including DeepSeek, ZhipuAI, OpenAI, and Ollama. The tool can automatically push review results to DingTalk, WeChat Work, and Feishu, generate daily reports based on GitLab commit records, and provide a visual dashboard to display code review records. The tool works by triggering webhook events on GitLab when users submit code, calling third-party large models to review the code, and recording the review results in corresponding Merge Requests or Commit Notes.

OpenManus-RL is an open-source initiative focused on enhancing reasoning and decision-making capabilities of large language models (LLMs) through advanced reinforcement learning (RL)-based agent tuning. The project explores novel algorithmic structures, diverse reasoning paradigms, sophisticated reward strategies, and extensive benchmark environments. It aims to push the boundaries of agent reasoning and tool integration by integrating insights from leading RL tuning frameworks and continuously updating progress in a dynamic, live-streaming fashion.

OlympicArena is a comprehensive benchmark designed to evaluate advanced AI capabilities across various disciplines. It aims to push AI towards superintelligence by tackling complex challenges in science and beyond. The repository provides detailed data for different disciplines, allows users to run inference and evaluation locally, and offers a submission platform for testing models on the test set. Additionally, it includes an annotation interface and encourages users to cite their paper if they find the code or dataset helpful.

OpenCommit is a tool that auto-generates meaningful commits using AI, allowing users to quickly create commit messages for their staged changes. It provides a CLI interface for easy usage and supports customization of commit descriptions, emojis, and AI models. Users can configure local and global settings, switch between different AI providers, and set up Git hooks for integration with IDE Source Control. Additionally, OpenCommit can be used as a GitHub Action to automatically improve commit messages on push events, ensuring all commits are meaningful and not generic. Payments for OpenAI API requests are handled by the user, with the tool storing API keys locally.

GCOP (Git Copilot) is an AI-powered Git assistant that automates commit message generation, enhances Git workflow, and offers 20+ smart commands. It provides intelligent commit crafting, customizable commit templates, smart learning capabilities, and a seamless developer experience. Users can generate AI commit messages, add all changes with AI-generated messages, undo commits while keeping changes staged, and push changes to the current branch. GCOP offers configuration options for AI models and provides detailed documentation, contribution guidelines, and a changelog. The tool is designed to make version control easier and more efficient for developers.

GodHook is an Xposed module that integrates various fun features, including automatic replies with support for multiple AI language models, subscription functionality for daily news, inspirational quotes, and weather updates, as well as interface functions to execute host app message functions for operations alerts and data push scenarios. It also offers various other features waiting to be explored. The module is designed for learning and communication purposes only and should not be used for malicious purposes. It requires technical knowledge to configure API model information and aims to lower the technical barrier for wider usage in the future.

aioquic is a Python library for the QUIC network protocol, featuring a minimal TLS 1.3 implementation, a QUIC stack, and an HTTP/3 stack. It is designed to be embedded into Python client and server libraries supporting QUIC and HTTP/3, with IPv4 and IPv6 support, connection migration, NAT rebinding, logging TLS traffic secrets and QUIC events, server push, WebSocket bootstrapping, and datagram support. The library follows the 'bring your own I/O' pattern for QUIC and HTTP/3 APIs, making it testable and integrable with different concurrency models.

Promptwright is a Python library designed for generating large synthetic datasets using local LLM and various LLM service providers. It offers flexible interfaces for generating prompt-led synthetic datasets. The library supports multiple providers, configurable instructions and prompts, YAML configuration, command line interface, push to Hugging Face Hub, and system message control. Users can define generation tasks using YAML configuration files or programmatically using Python code. Promptwright integrates with LiteLLM for LLM providers and supports automatic dataset upload to Hugging Face Hub. The library is not responsible for the content generated by models and advises users to review the data before using it in production environments.

NeuroSync Player is a real-time AI endpoint server that combines text-to-speech and NeuroSync generations. It includes code for various AI endpoints such as speech-to-text, text-to-speech, embedding, and vision. The tool allows users to connect their llm to Twitch and YouTube, enabling the llm-powered metahuman to respond to viewers in real-time. Additionally, it offers features like push-to-talk, face animation integration, and support for blendshapes generated from audio inputs for Unreal Engine 5. Users can train and fine-tune their own models using NeuroSync Trainer Lite, with simplified loss functions and mixed precision for faster training. The tool also supports data augmentation to help with fine detail reproduction.

MetricsMLNotebooks is a repository containing applied causal ML notebooks. It provides a collection of notebooks for users to explore and run causal machine learning models. The repository includes both Python and R notebooks, with a focus on generating .Rmd files through a Github Action. Users can easily install the required packages by running 'pip install -r requirements.txt'. Note that any changes to .Rmd files will be overwritten by the corresponding .irnb files during the Github Action process. Additionally, all notebooks and R Markdown files are stripped from their outputs when pushed to the main branch, so users are advised to strip the notebooks before pushing to the repository.

Truss is the simplest way to serve AI/ML models in production. This repository provides dozens of example models, each ready to deploy as-is or adapt to your needs. To get started, clone the repository, install Truss, and pick a model to deploy by passing a path to that model. Truss will prompt you for an API Key, which can be obtained from the Baseten API keys page. Invocation depends on the model's input and output specifications. Refer to individual model READMEs for invocation details. Contributions of new models and improvements to existing models are welcome. See CONTRIBUTING.md for details.

LLM_QLoRA is a repository for fine-tuning Large Language Models (LLMs) using QLoRA methodology. It provides scripts for training LLMs on custom datasets, pushing models to HuggingFace Hub, and performing inference. Additionally, it includes models trained on HuggingFace Hub, a blog post detailing the QLoRA fine-tuning process, and instructions for converting and quantizing models. The repository also addresses troubleshooting issues related to Python versions and dependencies.

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