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Deploy a Hugging Face (PyAnnote) speaker diarization model on Amazon SageMaker as an asynchronous endpoint | Amazon Web Services

Speaker diarization, an essential process in audio analysis, segments an audio file based on speaker identity. This post delves into integrating Hugging Face’s PyAnnote...

Evaluate the text summarization capabilities of LLMs for enhanced decision-making on AWS | Amazon Web Services

Organizations across industries are using automatic text summarization to more efficiently handle vast amounts of information and make better decisions. In the financial sector,...

Does AI Know What an Apple Is? She Aims to Find Out. | Quanta Magazine

IntroductionStart talking to Ellie Pavlick about her work — looking for evidence of understanding within large language models (LLMs) — and she might sound...

Maximising B2B Fintech growth: Collaborative sales and marketing strategies

It's all too common for sales and marketing teams to work in isolation, creating a breeding ground for misalignment, inefficiencies, and squandered opportunities. Having...

Forget the AI doom and hype, let’s make computers useful

Systems Approach Full disclosure: I have a history with AI, having flirted with it in the 1980s (remember expert systems?) and then having safely...

Enhance conversational AI with advanced routing techniques with Amazon Bedrock | Amazon Web Services

Conversational artificial intelligence (AI) assistants are engineered to provide precise, real-time responses through intelligent routing of queries to the most suitable AI functions. With...

Brandon Aversano, Founder of Alloy Market

Today, we are bringing you a fantastic profile from Brandon Aversano, the founder of Alloy Market. The origin story is one to pay close...

5 Hard Truths About the State of Cloud Security 2024

While cloud security has certainly come a long way since the wild west days of early cloud adoption, the truth is that there's a...

Accelerate ML workflows with Amazon SageMaker Studio Local Mode and Docker support | Amazon Web Services

We are excited to announce two new capabilities in Amazon SageMaker Studio that will accelerate iterative development for machine learning (ML) practitioners: Local Mode...

This Metric Printed In 2017 Before Bitcoin Exploded: Is A Mega Run Incoming?

In a post on X, one analyst has picked out a key on-chain metric that could signal the beginning of a strong leg up, similar...

Significant new capabilities make it easier to use Amazon Bedrock to build and scale generative AI applications – and achieve impressive results | Amazon...

We introduced Amazon Bedrock to the world a little over a year ago, delivering an entirely new way to build generative artificial intelligence (AI)...

Building scalable, secure, and reliable RAG applications using Knowledge Bases for Amazon Bedrock | Amazon Web Services

Generative artificial intelligence (AI) has gained significant momentum with organizations actively exploring its potential applications. As successful proof-of-concepts transition into production, organizations are increasingly...

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