Ratings and Reviews 0 Ratings

Total 0 out of 5 stars
ease 0 out of 5 stars
features 0 out of 5 stars
design 0 out of 5 stars
support 0 out of 5 stars

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 0 Ratings

Total 0 out of 5 stars
ease 0 out of 5 stars
features 0 out of 5 stars
design 0 out of 5 stars
support 0 out of 5 stars

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • Google AI Studio Reviews & Ratings
    4.8 out of 5 stars 42 Ratings
    Company Website for Google AI Studio
  • Gemini Enterprise Agent Platform Reviews & Ratings
    4.3 out of 5 stars 1,161 Ratings
    Company Website for Gemini Enterprise Agent Platform
  • LM-Kit.NET Reviews & Ratings
    4.8 out of 5 stars 29 Ratings
    Company Website for LM-Kit.NET
  • Tremendous Reviews & Ratings
    4.8 out of 5 stars 1,887 Ratings
    Company Website for Tremendous
  • LTX Reviews & Ratings
    4.4 out of 5 stars 182 Ratings
    Company Website for LTX
  • Google Cloud Speech-to-Text Reviews & Ratings
    4.5 out of 5 stars 443 Ratings
    Company Website for Google Cloud Speech-to-Text
  • Google Cloud Run Reviews & Ratings
    4.5 out of 5 stars 349 Ratings
    Company Website for Google Cloud Run
  • Jobma Reviews & Ratings
    4.6 out of 5 stars 278 Ratings
    Company Website for Jobma
  • XpertCoding Reviews & Ratings
    4.7 out of 5 stars 42 Ratings
    Company Website for XpertCoding
  • Qloo Reviews & Ratings
    5.0 out of 5 stars 23 Ratings
    Company Website for Qloo

What is Gopher?

Language serves as a fundamental tool in enhancing comprehension and enriching the human experience. It allows people to express their thoughts, share ideas, create memories that last, and build connections with others, fostering empathy in the process. These aspects are critical for social intelligence, which is why teams at DeepMind concentrate on various dimensions of language processing and communication among both humans and artificial intelligences. Within the broader context of AI research, we believe that improving language model capabilities—systems that predict and generate text—holds significant potential for developing advanced AI systems. Such systems are capable of summarizing information, providing expert opinions, and executing instructions using natural language in a way that feels intuitive. Nevertheless, the path to creating beneficial language models requires a careful examination of their potential impacts, including the challenges and risks they may pose to society. By gaining a deeper understanding of these issues, we can strive to leverage their advantages while effectively addressing any negative implications that may arise. Ultimately, this ongoing investigation will help ensure that the evolution of language technology aligns with our ethical and social values.

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

BERT
ChatGPT
Dolly
GPT-4
Llama
Llama 2
Llama 3.1
Llama 3.2
Llama 3.3
Stable LM
WeatherNext

Integrations Supported

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Free
Free Version

Supported Platforms

SaaS

Supported Platforms

SaaS
On-Prem

Customer Service / Support

Web-Based Support

Customer Service / Support

Not specified

Training Options

Not specified

Training Options

Documentation Hub

Company Facts

Organization Name

Google DeepMind

Company Location

United States

Company Website

www.deepmind.com/blog/language-modelling-at-scale-gopher-ethical-considerations-and-retrieval

Company Facts

Organization Name

Meta

Date Founded

2004

Company Location

United States

Company Website

github.com/facebookresearch/esm

Categories and Features

AI Models

Not specified

Large Language Models

Not specified

Categories and Features

AI Models

Not specified

Generative AI

Not specified

Large Language Models

Not specified

Popular Alternatives

Popular Alternatives

Jurassic-1 Reviews & Ratings

Jurassic-1

AI21 Labs
ESMFold Reviews & Ratings

ESMFold

Meta
GPT-3.5 Reviews & Ratings

GPT-3.5

OpenAI
4.0 out of 5 stars