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Improve public speaking skills using a generative AI-based virtual assistant with Amazon Bedrock

AWS Machine Learning - AI

Now, with the advent of large language models (LLMs), you can use generative AI -powered virtual assistants to provide real-time analysis of speech, identification of areas for improvement, and suggestions for enhancing speech delivery. The generative AI capabilities of Amazon Bedrock efficiently process user speech inputs.

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Buying advice for CIOs as low-code/no-code spending rises

CIO

This last category has received a boost as platform vendors explore the potential of generative AI models such as ChatGPT to create boilerplate application skeletons on which developers can hang their own business logic — or even turn human-readable requirements into machine-readable code. What’s expensive is scale.”

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6 IT rules worth breaking — and how to get away with it

CIO

Therefore, it’s vital to conduct a rigorous impact analysis and have rollback plans in place before proceeding,” Hyzy advises. These guardrails will exist for a reason, including an increase in cybersecurity attacks, risks to intellectual property, and the unknowns surrounding generative AI.”

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EU AI Act: Sensible guardrail or innovation killer?

CIO

Independent bodies play an essential role in this, not only with regard to the binding requirements, but also in the voluntary AI testing market.” According to Bühler, companies would be well advised to familiarize themselves with the requirements now, especially regarding the transition periods. “It

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Few-shot prompt engineering and fine-tuning for LLMs in Amazon Bedrock

AWS Machine Learning - AI

This blog is part of the series, Generative AI and AI/ML in Capital Markets and Financial Services. Traditionally, earnings call scripts have followed similar templates, making it a repeatable task to generate them from scratch each time. Consequently, the results cannot be interpreted as a mere comparison of models.

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Creating a culture of innovation: the future of organizational design

Modus Create

These changes affect us both as a company and personally — from global crises to advances in generative AI. This shows their colleagues how to tackle a new technical hurdle. Clients are asking, should I deploy AI in one area — customer care, for example — or pepper it in across my organization? What’s working?

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Cybersecurity Snapshot: As ChatGPT Fire Rages, NIST Issues AI Security Guidance

Tenable

The launch late last year of the generative AI ChatGPT chatbot has triggered feverish discussions globally about AI benefits and downsides. The new framework is intended to help AI system designers, developers and users address and manage AI risks via “flexible, structured and measurable” processes, according to NIST.

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