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Extend large language models powered by Amazon SageMaker AI using Model Context Protocol

AWS Machine Learning - AI

For MCP implementation, you need a scalable infrastructure to host these servers and an infrastructure to host the large language model (LLM), which will perform actions with the tools implemented by the MCP server. You ask the agent to Book a 5-day trip to Europe in January and we like warm weather.

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Have we reached the end of ‘too expensive’ for enterprise software?

CIO

Generative artificial intelligence ( genAI ) and in particular large language models ( LLMs ) are changing the way companies develop and deliver software. These autoregressive models can ultimately process anything that can be easily broken down into tokens: image, video, sound and even proteins.

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3 hard truths about GenAI’s large language models

CIO

During the last year, I’ve been fascinated to see new developments emerge in generative AI large language models (LLMs). Generative AI LLMs are revolutionizing what’s possible for individuals and enterprises around the world. However, as enterprises race to embrace LLMs, there is a dark side to the technology.

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The AI Future According to Google Cloud Next ’25: My Interesting Finds

Xebia

Its Flash version enables the new “Live API” which allows streaming audio and video directly into Gemini. It also supports the newly announced Agent 2 Agent (A2A) protocol which Google is positioning as an open, secure standard for agent-agent collaboration, driven by a large community of Technology, Platform and Service partners.

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Not your father’s avatar: The real future of artificial intelligence

CIO

Generative artificial intelligence (genAI) is the latest milestone in the “AAA” journey, which began with the automation of the mundane, lead to augmentation — mostly machine-driven but lately also expanding into human augmentation — and has built up to artificial intelligence. Artificial?

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Exploring the pros and cons of cloud-based large language models

CIO

In light of this, developer teams are beginning to turn to AI-enabled tools like large language models (LLMs) to simplify and automate tasks. Many developers are beginning to leverage LLMs to accelerate the application coding process, so they can meet deadlines more efficiently without the need for additional resources.

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Camelot Secure’s AI wizard eases path to cybersecurity compliance

CIO

Like many innovative companies, Camelot looked to artificial intelligence for a solution. Camelot has the flexibility to run on any selected GenAI LLM across cloud providers like AWS, Microsoft Azure, and GCP (Google Cloud Platform), ensuring that the company meets compliance regulations for data security.