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To solve the problem, the company turned to gen AI and decided to use both commercial and opensource models. So we augment with opensource, he says. Right now, the company is using the French-built Mistral opensource model. Opensource models also offer companies more flexibility in when to upgrade.
It also uses a number of other AWS services such as Amazon API Gateway , AWS Lambda , and Amazon SageMaker. You can use AWS services such as Application Load Balancer to implement this approach. Such agents orchestrate interactions between models, data sources, APIs, and applications.
Vendors are adding gen AI across the board to enterprise software products, and AI developers havent been idle this year either. Weve also seen the emergence of agentic AI, multi-modal AI, reasoning AI, and open-source AI projects that rival those of the biggest commercial vendors.
AI vendormanagement Only the biggest companies are going to build or manage their own AI models, and even those will rely on vendors to provide most of the AI they use. Open-source AI Opensource has long been a driver of innovation in the AI space. So did Amazon on AWS.
Other respondents said they aren’t using any generative AI models, are building their own, or are using an open-source alternative. LangChain is the best-known opensource option in this space. Some platform vendors, like Google, are building their own application layer,” he says.
Knative vs. AWS Lambda vs. Microsoft Azure Functions vs. Google Cloud. It does have a lot going for it, though—namely, that it’s opensource and portable between cloud providers. Rather than replace current approaches, however, the goal of AIOps is to enhance these processes by consolidating, automating, and updating them.
Even with opensource models, not all of them make this information public. So far, there isn’t a good automated way to do this, or an open-source LLM designed specifically to test the alignment of other models, but there’s definitely a crucial need for it. Or something you have locally, or something on [AWS] Bedrock.”
Then in November, the company revealed its Azure AI Agent Service, a fully-managed service that lets enterprises build, deploy and scale agents quickly. And on AWS, Amazon Bedrock Agents have been available since 2023, but in December, Amazon added multi-agent collaboration capabilities. We cant do that for security reasons, he says.
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