AI Models
663 tools
663 tools · page 26 of 28
Pollo AI provides one interface to generate video using several different underlying AI video models, aimed at creators who want to try and compare outputs without separate subscriptions.
Poolside builds large language models specifically trained for software engineering tasks, aimed at enterprises wanting a coding-focused AI model they can deploy on their own infrastructure.
Portkey acts as a gateway between an application and many different LLM providers, adding caching, fallbacks, and observability without requiring separate integration code for each model.
Predibase provides tools for fine-tuning open-source language models efficiently and serving many fine-tuned models cost-effectively, aimed at teams customizing models for specific tasks.
Prediction Guard provides infrastructure for running large language models with privacy and compliance controls, aimed at enterprises in regulated industries that can't send data to public APIs.
PromptBase is a marketplace where users buy and sell tested prompts for image generators and language models, aimed at people who want proven prompts instead of trial and error.
Protect AI scans machine learning models, pipelines, and AI applications for vulnerabilities, aimed at security teams extending existing practices to cover AI-specific risks.
Qwen is Alibaba's line of language and multimodal models, available as both open-weight downloads for developers and a hosted chat assistant for consumers.
Reka AI develops multimodal language models that understand text, images, and video, offered through an API aimed at enterprises wanting an alternative frontier model provider.
Replicate hosts thousands of open-source machine learning models that developers can run through a simple API without managing infrastructure, spanning image, video, audio, and text models.
Roboflow provides tools for annotating images, training computer vision models, and deploying them to production, aimed at developers building object detection and image classification apps.
Runware provides an ultra-fast API for running popular image generation models, aimed at developers building products that need near-instant image results rather than a consumer-facing app.
SambaNova builds custom AI chips and a full-stack platform for running large models efficiently, aimed at enterprises and government customers needing on-premises or private-cloud AI infrastructure.
Sarvam AI develops language models and voice AI tuned for Hindi and other Indian languages, aimed at bringing generative AI to India's linguistic diversity.
Scale AI provides data labeling, data generation, and model evaluation services used by major AI labs and enterprises to train and test machine learning models.
Semantic Kernel is Microsoft's open-source SDK for integrating language models and plugins into applications, aimed at .NET, Python, and Java developers building enterprise AI agents.
SingularityNET lets developers publish and monetize AI models and services on a decentralized network, aimed at building an open marketplace for AI outside of centralized tech platforms.
Snorkel AI lets teams label training data using programmatic rules and AI assistance instead of manual annotation alone, aimed at speeding up dataset creation for model training.
Snowflake Cortex AI lets users run language model functions directly on data already stored in Snowflake, aimed at analytics teams who want AI features without moving data elsewhere.
Tiledesk lets businesses build no-code chatbots that connect to large language models, aimed at teams that want an open-source alternative to closed customer support chatbot builders.
Together AI provides fast inference and fine-tuning infrastructure for open-source language and image models, aimed at developers who don't want to manage their own GPU clusters.
Tomorrow.io provides hyperlocal weather forecasting and climate risk analytics using AI models, aimed at businesses like airlines and logistics companies whose operations depend on weather.
Ultralytics develops the widely used YOLO object detection models and provides tools for training and deploying custom computer vision models built on that architecture.
Unsloth is an open-source library that speeds up fine-tuning of open language models while using significantly less memory, aimed at developers customizing models on limited hardware.