Amazon and artificial intelligence (AI) startup Anthropic have Announced a new investment agreement to support the research and development of new high-performance foundation models.
In a post on X, formerly Twitter, Anthropic revealed that Amazon has invested $4 billion in its work, while receiving access to Trainium and Inferentia chips from Amazon Cloud Services (AWS).
It said it will offer in return "improved support" from Amazon Bedrock, which produces basic models, with "secure model customization and tuning" for businesses. Amazon teams will also be able to use Bedrock to build on Anthropic models.
Our agreement provides Anthropic access to @awscloud Trainium and Inferentia chips. We will also offer enhanced support for Amazon Bedrock with secure customization of models and settings for enterprises.
- Anthropic (@AnthropicAI) September 25, 2023
Additionally, through the deal Amazon is reportedly acquiring a โminority stakeโ in Anthropic. The latter stated that this has not caused disturbances in its governance.
"As described in this policy, we will conduct pre-deployment testing of new models to help us manage the risks of increasingly capable AI systems."
The AI โโstartup was formed by former members of OpenAI, backed by Microsoft, the creator of the ChatGPT Viral AI Chatbot.
Related: Anthropic cracks open the black box to see how the AI โโcomes up with what it says
This latest development comes shortly after Anthropic announced a $100 million investment from South Korea. telecommunications giant SK Telecom back in August.
That investment followed a collaboration between Anthropic and SK Telecom to develop a multilingual large language model (LLM) for the latter's Telco AI platform.
Anthropic has also recently been part of important movements within the AI โโcommunity. In July it joined Google, OpenAI, Microsoft and others in the formation of the โBorder Model Forumโ, which was created to self-regulate development from within.
It has also been part of initiatives led by the United States government related to the development and regulation of AI, including a cybersecurity challenge to help strengthen its โcritical infrastructure.โ
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