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What is Grok 4?

Grok 4 is the latest AI model released by xAI, built using the Colossus supercomputer to offer state-of-the-art reasoning, natural language understanding, and multimodal capabilities. This model can interpret and generate responses based on text and images, with planned support for video inputs to broaden its contextual awareness. It has demonstrated exceptional results on scientific reasoning and visual tasks, outperforming several leading AI competitors in benchmark evaluations. Targeted at developers, researchers, and technical professionals, Grok 4 delivers powerful tools for complex problem-solving and creative workflows. The model integrates enhanced moderation features to reduce biased or harmful outputs, addressing critiques from previous versions. Grok 4 embodies xAI’s vision of combining cutting-edge technology with ethical AI practices. It aims to support innovative scientific research and practical applications across diverse domains. With Grok 4, xAI positions itself as a strong competitor in the AI landscape. The model represents a leap forward in AI’s ability to understand, reason, and create. Overall, Grok 4 is designed to empower advanced users with reliable, responsible, and versatile AI intelligence.

What is ESMFold?

ESMFold exemplifies how artificial intelligence can provide us with groundbreaking tools to investigate the natural world, similar to how the microscope transformed our ability to see the intricate details of life. By leveraging AI, we can achieve new insights into the rich tapestry of biological diversity, thus deepening our understanding of life sciences. A considerable amount of AI research focuses on teaching machines to perceive the world in ways that parallel human cognition. However, the intricate language of proteins remains difficult for humans to interpret and has posed challenges for even the most sophisticated computational models. Despite these hurdles, AI has the potential to decode this complex language, thereby enhancing our understanding of biological mechanisms. Investigating AI's role in biology not only broadens our comprehension of life sciences but also illuminates the wider implications of artificial intelligence as a whole. Our research underscores the interconnected nature of various disciplines: the large language models that drive advancements in machine translation, natural language processing, speech recognition, and image generation also have the potential to uncover valuable insights into biological systems. This interdisciplinary strategy may lead to groundbreaking discoveries in both the fields of AI and biology, fostering collaboration that could yield transformative advancements. As we continue to explore these synergies, the future holds great promise for expanding our knowledge and capabilities in understanding life itself.

Media

Media

Integrations Supported

APIFree
C#
C++
CSS
Clawd.run
Clojure
Doraverse
Editee
FastRouter
Go
HTML
Java
Julia
Laravel
Microsoft Foundry Models
Rust
Scala
Shiori
Simtheory
iMini

Integrations Supported

APIFree
C#
C++
CSS
Clawd.run
Clojure
Doraverse
Editee
FastRouter
Go
HTML
Java
Julia
Laravel
Microsoft Foundry Models
Rust
Scala
Shiori
Simtheory
iMini

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Free
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

xAI

Date Founded

2023

Company Location

United States

Company Website

grok.com

Company Facts

Organization Name

Meta

Date Founded

2004

Company Location

United States

Company Website

github.com/facebookresearch/esm

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