Amazon Web Services (AWS) aims to make creating AI apps easier for companies who want to add their own data to training models.
The future of artificial intelligence is quickly being made into an out-of-box experience that companies can customize based on their specific needs. Optimized chat experiences that are functional far beyond question-and-answer and tools to create AI applications without months of coding development could be the next step outside of introducing new plugins and extensions.
Recommended Videos “As a provider, we basically train these models on a large corpus of data. Once the model is trained, there’s a cutoff point. For example, January of 2023, then the model doesn’t have any information after that point, but companies want data, which is private,” Amazon Bedrock Product and Engineering General Manager, Atul Deo told Digital Trends.
Foundation models The several foundation models supported on Amazon Bedrock include Amazon Titan, as well as models from the providers Anthropic, AI21Labs, and StabilityAI, each tackling important functions within the AI space, from text analysis, image generation, and multilingual generation, among other tasks.
The brand collaborates with a host of companies using Amazon Bedrock, including Chegg, Lonely Planet, Cimpress, Philips, IBM, Nexxiot, Neiman Marcus, Ryanair, Hellmann, WPS Office, Twilio, Bridgewater & Associates, Showpad, Coda, and Booking.com. “Traditionally to do this would be a lot of work. The old chatbots were very rigid. If you said something here and there and it’s not working — you’d say let me just talk to the human agent,” Deo said. “Now because large language models have a much richer understanding of how humans talk, they can take actions and make use of the proprietary data in a company.”
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