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What is Turing?

Turing streamlines and optimizes the creation of consumer packaged goods (CPG) by providing intelligent guidance, eliminating the need for cumbersome manual analyses. This allows teams to transition rapidly from concept to production using one cohesive platform. Many companies squander substantial resources on the relentless gathering and integration of data to formulate accurate models. In contrast, Turing's sophisticated algorithms require significantly less data than conventional machine learning or AI approaches. As a result, teams no longer face the lengthy process of data aggregation. Turing empowers research and development teams to combine data from various systems that typically do not work together, creating a unified platform. By leveraging Turing’s AI, organizations can discover insights and connections that were previously locked away in separate data silos, facilitating the rapid development of high-quality prototypes. With Turing, collaboration becomes effortless across all stages of product development, from the initial idea to the market launch, all within one integrated system. Real-time, data-driven decisions regarding products, packaging, or processes can be made, circumventing the slow and inefficient cycles of physical experimentation. This revolutionary method of product development enhances efficiency and saves time, leading to quicker market entry and superior results. As a result, Turing not only transforms the product development landscape but also positions businesses for greater success in a competitive marketplace.

What is Chinchilla?

Chinchilla represents a cutting-edge language model that operates within a compute budget similar to Gopher while boasting 70 billion parameters and utilizing four times the amount of training data. This model consistently outperforms Gopher (which has 280 billion parameters), along with other significant models like GPT-3 (175 billion), Jurassic-1 (178 billion), and Megatron-Turing NLG (530 billion) across a diverse range of evaluation tasks. Furthermore, Chinchilla’s innovative design enables it to consume considerably less computational power during both fine-tuning and inference stages, enhancing its practicality in real-world applications. Impressively, Chinchilla achieves an average accuracy of 67.5% on the MMLU benchmark, representing a notable improvement of over 7% compared to Gopher, and highlighting its advanced capabilities in the language modeling domain. As a result, Chinchilla not only stands out for its high performance but also sets a new standard for efficiency and effectiveness among language models. Its exceptional results solidify its position as a frontrunner in the evolving landscape of artificial intelligence.

Media

Media

No images available

Integrations Supported

Claude for Financial Services
Google Stitch
MusicFX
NVIDIA Quadro Virtual Workstation
WeatherNext

Integrations Supported

Claude for Financial Services
Google Stitch
MusicFX
NVIDIA Quadro Virtual Workstation
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

Turing

Company Location

United States

Company Website

www.turingsaas.com/platform-overview

Company Facts

Organization Name

Google DeepMind

Company Location

United States

Company Website

arxiv.org/abs/2203.15556

Categories and Features

CPG

Customer Management
Electronic Data Interchange
Financial Accounting
Forecast / Demand Planning
Inventory Management
Lot Tracking
Pricing Management
Shopper Marketing
Trade Promotion

Product Lifecycle Management

Change Management
Compliance Management
Cost Tracking
Design Management
Document Management
Product Data Management
Project Management
Requirements Management
Supplier Management

Categories and Features

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