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Multi-LLM routing strategies for generative AI applications on AWS

AWS Machine Learning - AI

Organizations are increasingly using multiple large language models (LLMs) when building generative AI applications. Although an individual LLM can be highly capable, it might not optimally address a wide range of use cases or meet diverse performance requirements.

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Multiclass Text Classification Using LLM (MTC-LLM): A Comprehensive Guide

Perficient

Introduction to Multiclass Text Classification with LLMs Multiclass text classification (MTC) is a natural language processing (NLP) task where text is categorized into multiple predefined categories or classes. Traditional approaches rely on training machine learning models, requiring labeled data and iterative fine-tuning.

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5 Key Factors Investors Should Watch In AI This Year

Crunchbase News

By Daniel Marcous Artificial intelligence is evolving rapidly, and 2025 is poised to be a transformative year. For investors, the opportunity lies in looking beyond buzzwords and focusing on companies that deliver practical, scalable solutions to real-world problems.

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Creating asynchronous AI agents with Amazon Bedrock

AWS Machine Learning - AI

Advancements in multimodal artificial intelligence (AI), where agents can understand and generate not just text but also images, audio, and video, will further broaden their applications. This post will discuss agentic AI driven architecture and ways of implementing.

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Ground truth generation and review best practices for evaluating generative AI question-answering with FMEval

AWS Machine Learning - AI

These assistants can be powered by various backend architectures including Retrieval Augmented Generation (RAG), agentic workflows, fine-tuned large language models (LLMs), or a combination of these techniques. To learn more about FMEval, see Evaluate large language models for quality and responsibility of LLMs.

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Why GreenOps will succeed where FinOps is failing

CIO

This surge is driven by the rapid expansion of cloud computing and artificial intelligence, both of which are reshaping industries and enabling unprecedented scalability and innovation. Global IT spending is expected to soar in 2025, gaining 9% according to recent estimates. Short-term focus. Long-term value creation.

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Medical content creation in the age of generative AI

AWS Machine Learning - AI

Generative AI and transformer-based large language models (LLMs) have been in the top headlines recently. These models demonstrate impressive performance in question answering, text summarization, code, and text generation. Finally, the LLM generates new content conditioned on the input data and the prompt.