Grok 4

Creating safe artificial general intelligence that benefits all of humanity. Our work to create safe and beneficial AI requires a deep understanding of the potential risks and benefits, as well as careful consideration of the impact.

It is a next-generation AI assistant. It is accessible through chat interface and API. It is capable of a wide variety of conversational and text-processing tasks while maintaining a high degree of reliability and predictability.

It is Google’s largest and most capable AI model. It is built to be multimodal, it can generalize, understand, operate across, and combine different types of info — like text, images, audio, video, and code.

It is a state-of-the-art foundational large language model designed to help researchers advance their work in this subfield of AI.

It is a large multimodal model (accepting text inputs and emitting text outputs today, with image inputs coming in the future) that can solve difficult problems with greater accuracy than any of our previous models, thanks to its broader general knowledge and advanced reasoning capabilities.

It offers an API to add cutting-edge language processing to any system. Through training, users can create massive models customized to their use case and trained on their data.

It is a general-purpose speech recognition model. It is trained on a large dataset of diverse audio and is also a multi-task model that can perform multilingual speech recognition as well as speech translation and language identification.

It is a small, yet powerful model adaptable to many use cases. It is better than Llama 2 13B on all benchmarks, has natural coding abilities, and 8k sequence length. We made it easy to deploy on any cloud.

It is composed of a series of code language models, each trained from scratch on 2T tokens, with a composition of 87% code and 13% natural language. There are various sizes of the code model, ranging from 1B to 33B versions.

It is an advanced language model comprising 67 billion parameters. It has been trained from scratch on a vast dataset of 2 trillion tokens in both English and Chinese.

It is the base model weights and network architecture of Grok-1, the large language model. Grok-1 is a 314 billion parameter Mixture-of-Experts model trained from scratch by xAI.

It is an open-source library for fast LLM inference and serving. It delivers up to 24x higher throughput than HuggingFace Transformers, without requiring any model architecture changes.

It is an autoregressive Large Language Model (LLM), trained to continue text from a prompt on vast amounts of text data using industrial-scale computational resources. It is able to generate text in 46 natural languages and 13 programming languages.

It is a set of models that improve on GPT-3 and can understand as well as generate natural language or code.

It is a state-of-the-art LLM capable of generating code, and natural language about code, from both code and natural language prompts. It is built on top of Llama 2 and is available for free.

It is a collection of open-source models for generating various types of media.

It is the interface between your app and hosted LLMs. It streamlines API requests to OpenAI, Anthropic, Mistral, LLama2, Anyscale, Google Gemini, and more with a unified API.

It is an open-source language model. It is trained with 1.5 trillion tokens of content. The richness of dataset gives StableLM surprisingly high performance in conversational and coding tasks.

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It is a next-generation large language model that excels at advanced reasoning tasks, including code and math, classification, question answering, translation, multilingual proficiency, and natural language generation.

It is a state-of-the-art LLM for converting natural language questions to SQL queries. It has been fine-tuned on hand-crafted SQL queries in increasing orders of difficulty. It significantly outperforms all major open-source models and slightly outperforms gpt-3.5-turbo.

It is a foundational large language model (LLM) with 40 billion parameters trained on one trillion tokens.

It is an open-source project that has released a 7 billion parameter base model, a chat model tailored for practical scenarios, and a training system.

It represents a novel end-to-end trained large multimodal model that combines a vision encoder and Vicuna for general-purpose visual and language understanding, achieving impressive chat capabilities mimicking spirits of the multimodal GPT-4 and setting a new state-of-the-art accuracy on Science QA.

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Kling O1 is a unified multimodal video model by Kling AI, aka Omni One, with semantic understanding, enabling all-in-one video generation with high consistency.

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Seedance 1.5 is a cinematic AI model for native audio-visual video generation with film-grade storytelling quality.

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Discover Kling O1, the unified AI studio for generating, editing, and extending video with character consistency, prompt controls, and real-physics motion.

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FoxAIHub is a platform offering various AI APIs, primarily including text-to-image APIs, image editing APIs, text-to-video APIs, and music generation APIs.

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Pixlio AI enables users to create images from text prompts or transform existing visuals using advanced AI models. It offers fine-grained creative control through styles, aspect ratios, seeds, and format options, while keeping costs transparent with upfront credit estimates. Built for creators, marketers, designers, and developers, Pixlio streamlines visual production without sacrificing quality or speed.

SHIM is a secure and smart AI gateway. Redact PII (GDPR/KVKK) and cut OpenAI costs by 40% with Smart Semantic Caching. SHIM - the middleware for serious developers.

Artta AI is an all-in-one creative platform that leverages advanced AI models to generate professional videos, images, music, and voiceovers, streamlining the content creation process for creators and businesses.

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