Best AI tools for< Running Inference >

Segwise is an AI tool designed to help game developers increase their game's Lifetime Value (LTV) by providing insights into player behavior and metrics. The tool uses AI agents to detect causal LTV drivers, root causes of LTV drops, and opportunities for growth. Segwise offers features such as running causal inference models on player data, hyper-segmenting player data, and providing instant answers to questions about LTV metrics. It also promises seamless integrations with gaming data sources and warehouses, ensuring data ownership and transparent pricing. The tool aims to simplify the process of improving LTV for game developers.

Lamini is an enterprise-level LLM platform that offers precise recall with Memory Tuning, enabling teams to achieve over 95% accuracy even with large amounts of specific data. It guarantees JSON output and delivers massive throughput for inference. Lamini is designed to be deployed anywhere, including air-gapped environments, and supports training and inference on Nvidia or AMD GPUs. The platform is known for its factual LLMs and reengineered decoder that ensures 100% schema accuracy in the JSON output.

GPUX is a cloud platform that provides access to GPUs for running AI workloads. It offers a variety of features to make it easy to deploy and run AI models, including a user-friendly interface, pre-built templates, and support for a variety of programming languages. GPUX is also committed to providing a sustainable and ethical platform, and it has partnered with organizations such as the Climate Leadership Council to reduce its carbon footprint.

Anycores is an AI tool designed to optimize the performance of deep neural networks and reduce the cost of running AI models in the cloud. It offers a platform that provides automated solutions for tuning and inference consultation, optimized networks zoo, and platform for reducing AI model cost. Anycores focuses on faster execution, reducing inference time over 10x times, and footprint reduction during model deployment. It is device agnostic, supporting Nvidia, AMD GPUs, Intel, ARM, AMD CPUs, servers, and edge devices. The tool aims to provide highly optimized, low footprint networks tailored to specific deployment scenarios.

Modal is a high-performance cloud platform designed for developers, AI data, and ML teams. It offers a serverless environment for running generative AI models, large-scale batch jobs, job queues, and more. With Modal, users can bring their own code and leverage the platform's optimized container file system for fast cold boots and seamless autoscaling. The platform is engineered for large-scale workloads, allowing users to scale to hundreds of GPUs, pay only for what they use, and deploy functions to the cloud in seconds without the need for YAML or Dockerfiles. Modal also provides features for job scheduling, web endpoints, observability, and security compliance.

LM Studio is an AI tool designed for discovering, downloading, and running local LLMs (Large Language Models). Users can run LLMs on their laptops offline, use models through an in-app Chat UI or a local server, download compatible model files from HuggingFace repositories, and discover new LLMs. The tool ensures privacy by not collecting data or monitoring user actions, making it suitable for personal and business use. LM Studio supports various models like ggml Llama, MPT, and StarCoder on Hugging Face, with minimum hardware/software requirements specified for different platforms.

PicturePerfectAI is an AI-powered avatar maker that allows users to create customized, life-like avatars for various purposes. With a user-friendly interface and over 100 styles to choose from, users can generate unique avatars that represent their personality or brand. PicturePerfectAI prioritizes quality results by training its own models and running its own GPU servers, offering high-quality avatars at an affordable price. The platform ensures complete data privacy by encrypting user data and deleting uploaded photos and AI models within 24 hours.

The Run Recommender is a web-based tool that helps runners find the perfect pair of running shoes. It uses a smart algorithm to suggest options based on your input, giving you a starting point in your search for the perfect pair. The Run Recommender is designed to be user-friendly and easy to use. Simply input your shoe width, age, weight, and other details, and the Run Recommender will generate a list of potential shoes that might suit your running style and body. You can also provide information about your running experience, distance, and frequency, and the Run Recommender will use this information to further refine its suggestions. Once you have a list of potential shoes, you can click on each shoe to learn more about it, including its features, benefits, and price. You can also search for the shoe on Amazon to find the best deals.

Cascadeur is a standalone 3D software that lets you create keyframe animation, as well as clean up and edit any imported ones. Thanks to its AI-assisted and physics tools you can dramatically speed up the animation process and get high quality results. It works with .FBX, .DAE and .USD files making it easy to integrate into any animation workflow.

Gooey.AI is a platform that provides access to a variety of AI models and tools, making it easy for users to build and deploy AI solutions. The platform offers a no-code interface, making it accessible to users of all skill levels. Gooey.AI also provides a community of users who share workflows and examples, making it easy to get started with AI development.

Obviously AI is a no-code AI tool that allows users to build and deploy machine learning models without writing any code. It is designed to be easy to use, even for those with no data science experience. Obviously AI offers a variety of features, including model building, model deployment, model monitoring, and integration with other tools. It also provides expert support from a dedicated data scientist.

Ollama is an AI tool that allows users to access and utilize large language models such as Llama 3, Phi 3, Mistral, Gemma 2, and more. Users can customize and create their own models. The tool is available for macOS, Linux, and Windows platforms, offering a preview version for users to explore and utilize these models for various applications.

Rupert AI is an all-in-one AI platform that allows users to train custom AI models for text, audio, video, and images. The platform streamlines AI workflows by providing access to the latest open-source AI models and tools in a single studio tailored to business needs. Users can automate their AI workflow, generate high-quality AI product photography, and utilize popular AI workflows like the AI Fashion Model Generator and Facebook Ad Testing Tool. Rupert AI aims to revolutionize the way businesses leverage AI technology to enhance marketing visuals, streamline operations, and make informed decisions.

Jan is an open-source ChatGPT-alternative that runs 100% offline. It allows users to chat with AI, download and run powerful models, connect to cloud AIs, set up a local API server, and chat with files. Highly customizable, Jan also offers features like creating personalized AI assistants, memory, and extensions. The application prioritizes local-first AI, user-owned data, and full customization, making it a versatile tool for AI enthusiasts and developers.

Equixly is an AI-powered application designed to help secure APIs by identifying vulnerabilities and weaknesses through continuous security testing. The platform offers features such as scalable API PenTesting, rapid remediation, attack simulation, mapping attack surface, compliance simplification, and data exposure minimization. Equixly aims to provide users with a comprehensive solution to enhance API security and reduce the risk of breaches.

HappyPagesAI is an AI coloring page generator that allows users to create personalized coloring pages for children. The application uses AI technology to turn ideas into designs in 3 easy steps, providing a platform for children to explore their creativity and imagination. With a catalog of over 5000 coloring pages available for free download and print, HappyPagesAI aims to offer a fun and educational experience for kids and parents alike.

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

Quadratic is an infinite spreadsheet with Python, SQL, and AI. It combines the familiarity of a spreadsheet with the power of code, allowing users to analyze data, write code, and create visualizations in a single environment. With built-in Python library support, users can bring open source tools directly to their spreadsheets. Quadratic also features real-time collaboration, allowing multiple users to work on the same spreadsheet simultaneously. Additionally, Quadratic is built for speed and performance, utilizing Web Assembly and WebGL to deliver a smooth and responsive experience.

Shipixen is an AI-powered tool that allows users to generate custom Next.js codebases with an MDX blog, TypeScript, and Shadcn UI in minutes. It provides a seamless experience for developers to create beautifully designed SaaS, blogs, landing pages, directories, and more without the hassle of manual setup. Shipixen offers a wide range of features, themes, and components to streamline the web development process and empower users to focus on building rather than configuring. With AI content generation capabilities, customizable branding, and easy deployment options, Shipixen is a valuable tool for both beginners and experienced developers.

Momen is a platform that allows users to build web applications without the need for coding. From designing to developing and scaling apps, Momen offers a smooth learning curve for users to create custom apps. The platform provides features such as dynamic canvas, live preview, interactive animations, and reusable components. With Momen, users can clarify user journeys, unleash their creativity, and build feature-rich apps with ease. The platform also ensures predictable costs, assured scalability, and advanced collaboration workflows for million-user projects. Momen AI 2.0 enables users to build AI agents. Additionally, Momen offers SEO controls, AI app development, exclusive programs for education, tailored solutions for content creators, and various resources and support options.

Crabml is a llama.cpp compatible AI inference engine written in Rust, designed for efficient inference on various platforms with WebGPU support. It focuses on running inference tasks with SIMD acceleration and minimal memory requirements, supporting multiple models and quantization methods. The project is hackable, embeddable, and aims to provide high-performance AI inference capabilities.

cake is a pure Rust implementation of the llama3 LLM distributed inference based on Candle. The project aims to enable running large models on consumer hardware clusters of iOS, macOS, Linux, and Windows devices by sharding transformer blocks. It allows running inferences on models that wouldn't fit in a single device's GPU memory by batching contiguous transformer blocks on the same worker to minimize latency. The tool provides a way to optimize memory and disk space by splitting the model into smaller bundles for workers, ensuring they only have the necessary data. cake supports various OS, architectures, and accelerations, with different statuses for each configuration.

Seer is a service that provides AI capabilities to Sentry by running inference on Sentry issues and providing user insights. It is currently in early development and not yet compatible with self-hosted Sentry instances. The tool requires access to internal Sentry resources and is intended for internal Sentry employees. Users can set up the environment, download model artifacts, integrate with local Sentry, run evaluations for Autofix AI agent, and deploy to a sandbox staging environment. Development commands include applying database migrations, creating new migrations, running tests, and more. The tool also supports VCRs for recording and replaying HTTP requests.

The Intel Gaudi Tutorials repository contains source files for tutorials on using PyTorch and PyTorch Lightning on the Intel Gaudi AI Processor. The tutorials cater to users from beginner to advanced levels and cover various tasks such as fine-tuning models, running inference, and setting up DeepSpeed for training large language models. Users need access to an Intel Gaudi 2 Accelerator card or node, run the Intel Gaudi PyTorch Docker image, clone the tutorial repository, install Jupyterlab, and run the Jupyterlab server to follow along with the tutorials.

Lean Copilot is a tool that enables the use of large language models (LLMs) in Lean for proof automation. It provides features such as suggesting tactics/premises, searching for proofs, and running inference of LLMs. Users can utilize built-in models from LeanDojo or bring their own models to run locally or on the cloud. The tool supports platforms like Linux, macOS, and Windows WSL, with optional CUDA and cuDNN for GPU acceleration. Advanced users can customize behavior using Tactic APIs and Model APIs. Lean Copilot also allows users to bring their own models through ExternalGenerator or ExternalEncoder. The tool comes with caveats such as occasional crashes and issues with premise selection and proof search. Users can get in touch through GitHub Discussions for questions, bug reports, feature requests, and suggestions. The tool is designed to enhance theorem proving in Lean using LLMs.

WildBench is a tool designed for benchmarking Large Language Models (LLMs) with challenging tasks sourced from real users in the wild. It provides a platform for evaluating the performance of various models on a range of tasks. Users can easily add new models to the benchmark by following the provided guidelines. The tool supports models from Hugging Face and other APIs, allowing for comprehensive evaluation and comparison. WildBench facilitates running inference and evaluation scripts, enabling users to contribute to the benchmark and collaborate on improving model performance.

Deep Java Library (DJL) is an open-source, high-level, engine-agnostic Java framework for deep learning. It is designed to be easy to get started with and simple to use for Java developers. DJL provides a native Java development experience and allows users to integrate machine learning and deep learning models with their Java applications. The framework is deep learning engine agnostic, enabling users to switch engines at any point for optimal performance. DJL's ergonomic API interface guides users with best practices to accomplish deep learning tasks, such as running inference and training neural networks.

LLaMa2lang is a repository containing convenience scripts to finetune LLaMa3-8B (or any other foundation model) for chat towards any language that isn't English. The repository aims to improve the performance of LLaMa3 for non-English languages by combining fine-tuning with RAG. Users can translate datasets, extract threads, turn threads into prompts, and finetune models using QLoRA and PEFT. Additionally, the repository supports translation models like OPUS, M2M, MADLAD, and base datasets like OASST1 and OASST2. The process involves loading datasets, translating them, combining checkpoints, and running inference using the newly trained model. The repository also provides benchmarking scripts to choose the right translation model for a target language.

This project provides a comprehensive guide to fine-tuning large language models (LLMs) with efficient methods like LoRA and P-tuning V2. It includes detailed instructions, code examples, and performance benchmarks for various LLMs and fine-tuning techniques. The guide also covers data preparation, evaluation, prediction, and running inference on CPU environments. By leveraging this guide, users can effectively fine-tune LLMs for specific tasks and applications.

Nesa is a tool that allows users to run on-prem AI for a fraction of the cost through a blind API. It provides blind privacy, zero latency on protected inference, wide model coverage, cost savings compared to cloud and on-prem AI, RAG support, and ChatGPT compatibility. Nesa achieves blind AI through Equivariant Encryption (EE), a new security technology that provides complete inference encryption with no additional latency. EE allows users to perform inference on neural networks without exposing the underlying data, preserving data privacy and security.

OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference. It provides a common API to deliver inference solutions on various platforms, including CPU, GPU, NPU, and heterogeneous devices. OpenVINO™ supports pre-trained models from Open Model Zoo and popular frameworks like TensorFlow, PyTorch, and ONNX. Key components of OpenVINO™ include the OpenVINO™ Runtime, plugins for different hardware devices, frontends for reading models from native framework formats, and the OpenVINO Model Converter (OVC) for adjusting models for optimal execution on target devices.

MusicGPT is an application that allows running the latest music generation AI models locally in a performant way, supporting different music generation models transparently to the user. It can be interacted with through UI mode or CLI mode, generating music based on natural language prompts. The tool requires access to storage to save downloaded models and generated audios along with metadata. It is licensed under MIT License for the code and CC-BY-NC-4.0 License for the AI model weights.

ppl.llm.serving is a serving component for Large Language Models (LLMs) within the PPL.LLM system. It provides a server based on gRPC and supports inference for LLaMA. The repository includes instructions for prerequisites, quick start guide, model exporting, server setup, client usage, benchmarking, and offline inference. Users can refer to the LLaMA Guide for more details on using this serving component.

At Nesa, privacy is a critical objective. Equivariant Encryption (EE) is a solution developed to perform inference on neural networks without exposing input and output data. EE integrates specialized transformations for neural networks, maintaining data privacy while ensuring inference operates correctly on encrypted inputs. It provides the same latency as plaintext inference with no slowdowns and offers strong security guarantees. EE avoids the computational costs of traditional Homomorphic Encryption (HE) by preserving non-linear neural functions. The tool is designed for modern neural architectures, ensuring accuracy, scalability, and compatibility with existing pipelines.

PPL LLM Serving is a serving based on ppl.nn for various Large Language Models (LLMs). It provides inference support for LLaMA. Key features include: * **High Performance:** Optimized for fast and efficient inference on LLM models. * **Scalability:** Supports distributed deployment across multiple GPUs or machines. * **Flexibility:** Allows for customization of model configurations and inference pipelines. * **Ease of Use:** Provides a user-friendly interface for deploying and managing LLM models. This tool is suitable for various tasks, including: * **Text Generation:** Generating text, stories, or code from scratch or based on a given prompt. * **Text Summarization:** Condensing long pieces of text into concise summaries. * **Question Answering:** Answering questions based on a given context or knowledge base. * **Language Translation:** Translating text between different languages. * **Chatbot Development:** Building conversational AI systems that can engage in natural language interactions. Keywords: llm, large language model, natural language processing, text generation, question answering, language translation, chatbot development

The LandingLens Python library contains the LandingLens development library and examples that show how to integrate your app with LandingLens in a variety of scenarios. The library allows users to acquire images from different sources, run inference on computer vision models deployed in LandingLens, and provides examples in Jupyter Notebooks and Python apps for various tasks such as object detection, home automation, satellite image analysis, license plate detection, and streaming video analysis.

LiveKit Agents for Node.js is a framework designed for building realtime, programmable voice agents that can see, hear, and understand. It includes support for OpenAI Realtime API, allowing for ultra-low latency WebRTC transport between GPT-4o and users' devices. The framework provides concepts like Agents, Workers, and Plugins to create complex tasks. It offers a CLI interface for running agents and a versatile web frontend called 'playground' for building and testing agents. The framework is suitable for developers looking to create conversational voice agents with advanced capabilities.

Burpference is an open-source extension designed to capture in-scope HTTP requests and responses from Burp's proxy history and send them to a remote LLM API in JSON format. It automates response capture, integrates with APIs, optimizes resource usage, provides color-coded findings visualization, offers comprehensive logging, supports native Burp reporting, and allows flexible configuration. Users can customize system prompts, API keys, and remote hosts, and host models locally to prevent high inference costs. The tool is ideal for offensive web application engagements to surface findings and vulnerabilities.

The Eureka ML Insights Framework is a repository containing code designed to help researchers and practitioners run reproducible evaluations of generative models efficiently. Users can define custom pipelines for data processing, inference, and evaluation, as well as utilize pre-defined evaluation pipelines for key benchmarks. The framework provides a structured approach to conducting experiments and analyzing model performance across various tasks and modalities.

This is a Cog training model that creates LoRA-based fine-tunes for the FLUX.1 family of image generation models. It includes features such as automatic image captioning during training, image generation using LoRA, uploading fine-tuned weights to Hugging Face, automated test suite for continuous deployment, and Weights and biases integration. The tool is designed for users to fine-tune Flux models on Replicate for image generation tasks.

X（旧Twitter）アカウントの運用に関する専門的なアドバイスを提供するために設計されています。ユーザーが持つXアカウントのデータを分析し、エンゲージメントの向上、フォロワーの興味が高いトピックの把握、最適な投稿時間の特定などを行うことで、効果的なソーシャルメディア戦略を構築をサポートします。具体的には、ユーザーから提供されるXのアナリティクスデータを元に、高いエンゲージメントを得たツイートの特徴やエンゲージメントが低いツイートの改善点、インプレッションが高いツイートの分析などを行います。

I'm a running coach that helps you to became addicted to running in 2-3 weeks by building your personalized plan.

Provides running splits for Strava Routes, accounting for distance and elevation changes

If you are running an Agency, use this AI. It will answer you based on some books and podcast which I have used over the year. Also I uploaded some articles I have written for agency.

Auto painting agent running with LLMermaid. Type "continue" for to continue tasks.

Answers questions about running a Kiwi business

aids preparing for and running Trust Pods with excellence

A helpful assistant for D&D DMs running Dungeons & Dragons campaigns. Create towns, shops, characters, monsters, items, plots, encounters and more! Built for Dungeon Masters building DnD settings.

Keep the kingdom up and running!

An online business expert offering guidance for creating and running digital ventures.

I simulate a PC, managing files and running virtual programs.

A guide for aspiring online entrepreneurs, offering practical advice on setting up and running a business. Please note: The product is independently developed and not affiliated, endorsed, or sponsored by OpenAI.

I teach Home Economics and help with Cooking, Cleaning, and Running a Household.

With simple prompts, AIProductGPT instantly crafts detailed AI-powered requirements (PRD) and mocks so that you team can hit the ground running

Your go-to assistant for integrating EOS (Entrepreneurial Operating System) principles into personal life. Offers expert guidance on utilizing the core EOS tools to drive personal growth and provides structured support for running your own personal annual, quarterly, and weekly L10 meetings.

10k, 하프 및 풀 마라톤을 위한 전문 달리기 코치.

Comprehensive guide for Swiss solopreneurship, offering formal, well-researched advice.

优化代码，提升运行速度的专家

Designs training programs for runners preparing for marathons and other races, tailored to fitness levels.

Design your perfect race calendar and training plans for your next race.