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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 DeepSeek-V2?

DeepSeek-V2 represents an advanced Mixture-of-Experts (MoE) language model created by DeepSeek-AI, recognized for its economical training and superior inference efficiency. This model features a staggering 236 billion parameters, engaging only 21 billion for each token, and can manage a context length stretching up to 128K tokens. It employs sophisticated architectures like Multi-head Latent Attention (MLA) to enhance inference by reducing the Key-Value (KV) cache and utilizes DeepSeekMoE for cost-effective training through sparse computations. When compared to its earlier version, DeepSeek 67B, this model exhibits substantial advancements, boasting a 42.5% decrease in training costs, a 93.3% reduction in KV cache size, and a remarkable 5.76-fold increase in generation speed. With training based on an extensive dataset of 8.1 trillion tokens, DeepSeek-V2 showcases outstanding proficiency in language understanding, programming, and reasoning tasks, thereby establishing itself as a premier open-source model in the current landscape. Its groundbreaking methodology not only enhances performance but also sets unprecedented standards in the realm of artificial intelligence, inspiring future innovations in the field.

Media

Media

Integrations Supported

DeftGPT
Galileo
InfoBaseAI
LastMile AI

Integrations Supported

SiliconFlow

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Free
Open source
Free Version

Supported Platforms

SaaS
Windows
Mac
On-Prem
Linux

Supported Platforms

Windows
Mac
On-Prem
Linux

Customer Service / Support

Web-Based Support

Customer Service / Support

Not specified

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

Google

Date Founded

1998

Company Location

United States

Company Website

ai.google/discover/palm2

Company Facts

Organization Name

DeepSeek

Date Founded

2023

Company Location

China

Company Website

deepseek.com

Categories and Features

AI Coding Models

Not specified

AI Models

Not specified

Large Language Models

Not specified

Categories and Features

AI Coding Models

Not specified

AI Models

Not specified

Large Language Models

Not specified

Open-Weight AI Models

Not specified

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