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What is PaLM 2?

PaLM 2 marks a significant advancement in the realm of large language models, furthering Google's legacy of leading innovations in machine learning and ethical AI initiatives. This model showcases remarkable skills in intricate reasoning tasks, including coding, mathematics, classification, question answering, multilingual translation, and natural language generation, outperforming earlier models, including its predecessor, PaLM. Its superior performance stems from a groundbreaking design that optimizes computational scalability, incorporates a carefully curated mixture of datasets, and implements advancements in the model's architecture. Moreover, PaLM 2 embodies Google’s dedication to responsible AI practices, as it has undergone thorough evaluations to uncover any potential risks, biases, and its usability in both research and commercial contexts. As a cornerstone for other innovative applications like Med-PaLM 2 and Sec-PaLM, it also drives sophisticated AI functionalities and tools within Google, such as Bard and the PaLM API. Its adaptability positions it as a crucial resource across numerous domains, demonstrating AI's capacity to boost both productivity and creative solutions, ultimately paving the way for future advancements in the field.

What is Ferret?

A sophisticated End-to-End MLLM has been developed to accommodate various types of references and effectively ground its responses. The Ferret Model employs a unique combination of Hybrid Region Representation and a Spatial-aware Visual Sampler, which facilitates detailed and adaptable referring and grounding functions within the MLLM framework. Serving as a foundational element, the GRIT Dataset consists of about 1.1 million entries, specifically designed as a large-scale and hierarchical dataset aimed at enhancing instruction tuning in the ground-and-refer domain. Moreover, the Ferret-Bench acts as a thorough multimodal evaluation benchmark that concurrently measures referring, grounding, semantics, knowledge, and reasoning, thus providing a comprehensive assessment of the model's performance. This elaborate configuration is intended to improve the synergy between language and visual information, which could lead to more intuitive AI systems that better understand and interact with users. Ultimately, advancements in these models may significantly transform how we engage with technology in our daily lives.

Media

Media

Integrations Supported

DeftGPT
Galileo
InfoBaseAI
LastMile AI

Integrations Supported

DeftGPT
Galileo
InfoBaseAI
LastMile AI

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

Google

Date Founded

1998

Company Location

United States

Company Website

ai.google/discover/palm2

Company Facts

Organization Name

Apple

Date Founded

1976

Company Location

United States

Company Website

github.com/apple/ml-ferret

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