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LLM benchmarking: How to find the right AI model

CIO

Factors such as precision, reliability, and the ability to perform convincingly in practice are taken into account. These are standardized tests that have been specifically developed to evaluate the performance of language models. They not only test whether a model works, but also how well it performs its tasks.

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Multi-LLM routing strategies for generative AI applications on AWS

AWS Machine Learning - AI

Although an individual LLM can be highly capable, it might not optimally address a wide range of use cases or meet diverse performance requirements. In contrast, more complex questions might require the application to summarize a lengthy dissertation by performing deeper analysis, comparison, and evaluation of the research results.

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

Xebia

Thinking refers to an internal reasoning process using the first output tokens, allowing it to solve more complex tasks. Built-in Evaluation: Systematically assess agent performance. In this post, I’m excited to share some of my personal highlights and key takeaways from the conference. Gemini 2.5

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12 AI predictions for 2025

CIO

The company says it can achieve PhD-level performance in challenging benchmark tests in physics, chemistry, and biology. In these uses case, we have enough reference implementations to point to and say, Theres value to be had here.' If it goes through all of those gates, only then do you let the agent do it autonomously, says Hodjat.

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AI dominates Gartner’s 2025 predictions

CIO

AI deployment will also allow for enhanced productivity and increased span of control by automating and scheduling tasks, reporting and performance monitoring for the remaining workforce which allows remaining managers to focus on more strategic, scalable and value-added activities.”

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Agentic AI design: An architectural case study

CIO

You can use these agents through a process called chaining, where you break down complex tasks into manageable tasks that agents can perform as part of an automated workflow. It’s important to break it down this way so you can see beyond the hype and understand what is specifically being referred to. Do you see any issues?

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Managing the many we’s of IT

CIO

There are a number of best practices for improving employee engagement , but for IT, the best way is to make sure the technology in employees hands or on their desks is not undercutting their ability to perform their jobs. In the IT world, when we encounter the first-person plural pronoun we, who exactly is being referred to?