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Microsoft’s new generative AI-powered, multimodal, content analysis service is a next-generation version of its existing Cognitive Services platform.
From an all-new version of SageMaker to new large language models, AWS is going all out to boost its offerings for developers.
Even as Meta touts its Llama model, the company is incorporating OpenAI’s GPT-4 to enhance internal tools and philanthropic ventures.
Heroku also announced that its Next Generation platform, which supports building and deploying Kubernetes and AI applications, is available in a pilot.
Other database updates include the general availability of MemoryDB Multi-Region and new observability features for Amazon Aurora MySQL and PostgreSQL.
What’s the best way to store, search, and analyze content not based on their technical characteristics but on their meaning?
AI agents are already reengineering software development, business processes, and customer experiences. Here's what you need to know.
Cloud AI providers brag that their generative AI and large language models are open, and enterprises are falling for it.
Other updates to the mostly free low code tool for building generative AI applications includes an app search and the ability to bake in simultaneous document processing inside applications.
AWS has also added support for custom connectors and reranking models within Bedrock Knowledge Bases.
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