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Where’s the ROI for AI? CIOs struggle to find it

CIO

While Kane shows clients how to save time and money using AI tools like Microsoft Copilot, many SMB customers still don’t see the value of generative AI in tasks like writing a newsletter, when the AI doesn’t have access to their internal data. Most companies are simply playing with the novelty of AI still.”

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Architect defense-in-depth security for generative AI applications using the OWASP Top 10 for LLMs

AWS Machine Learning - AI

Many customers are looking for guidance on how to manage security, privacy, and compliance as they develop generative AI applications. This post provides three guided steps to architect risk management strategies while developing generative AI applications using LLMs.

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Efficient continual pre-training LLMs for financial domains

AWS Machine Learning - AI

Large language models (LLMs) are generally trained on large publicly available datasets that are domain agnostic. For example, Meta’s Llama models are trained on datasets such as CommonCrawl , C4 , Wikipedia, and ArXiv. These datasets encompass a broad range of topics and domains.

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The AI continuum

CIO

ChatGPT has turned everything we know about AI on its head. AI encompasses many things. Generative AI and large language models (LLMs) like ChatGPT are only one aspect of AI. But it’s the well-known part of AI. The price-performance value of consuming AI via the tools you already use is hard to beat.

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Recruitment Chatbot: A How-to Guide for Recruiters

Hacker Earth Developers Blog

Today, you’ll find AI-generated marketing content, financial predictions, and even AI-powered contact center solutions. Professionals are using AI technologies, such as machine learning, natural language processing (NLP), and predictive analytics, to enhance various aspects of recruitment. million by 2028.

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Deploy large language models for a healthtech use case on Amazon SageMaker

AWS Machine Learning - AI

To support overarching pharmacovigilance activities, our pharmaceutical customers want to use the power of machine learning (ML) to automate the adverse event detection from various data sources, such as social media feeds, phone calls, emails, and handwritten notes, and trigger appropriate actions.

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Build a contextual text and image search engine for product recommendations using Amazon Bedrock and Amazon OpenSearch Serverless

AWS Machine Learning - AI

Search engines and recommendation systems powered by generative AI can improve the product search experience exponentially by understanding natural language queries and returning more accurate results. Amazon OpenSearch Service now supports the cosine similarity metric for k-NN indexes.