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What is Renderpeople?

Posed People are intricate 3D digital replicas of individuals, each one captured in a unique natural position through sophisticated scanning techniques. Their designs and high-definition textures have been carefully enhanced to accurately embody the vitality and realism characteristic of real human forms. These Posed 3D models are equipped with pre-set materials, making them ready for immediate use. Additionally, the complimentary models match the same high-quality criteria and features as the Posed 3D People available for purchase in our online store. On the other hand, Rigged People are flexible and modifiable 3D scans, each incorporating a built-in skeleton that is already mapped to the model's surface, a process known as skinning. This design facilitates straightforward posing and animation, which makes our Rigged People extremely versatile for numerous uses. Moreover, motion capture data can be applied to swiftly create realistic animations, thereby increasing their practicality. The free models provided also reflect a comparable level of quality and functionality as the Rigged People sold in our online shop, guaranteeing that users can access remarkable assets at no expense. This combination of adaptability and superior quality renders these models perfect for a diverse array of creative endeavors, empowering artists and developers alike.

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.

Media

Media

Integrations Supported

3ds Max
BERT
ChatGPT
Cinema 4D
Dolly
GPT-4
Llama
Llama 2
Llama 3.1
Llama 3.2
Llama 3.3
Magic Bullet
Maya
RebusFarm
Rhino 8
Stable LM
WeatherNext

Integrations Supported

3ds Max
BERT
ChatGPT
Cinema 4D
Dolly
GPT-4
Llama
Llama 2
Llama 3.1
Llama 3.2
Llama 3.3
Magic Bullet
Maya
RebusFarm
Rhino 8
Stable LM
WeatherNext

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
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

Renderpeople

Date Founded

2014

Company Location

Germany

Company Website

renderpeople.com/free-3d-people/

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

Categories and Features

Categories and Features

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