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TechCrunch+ roundup: No-code MVP strategy, hiring under scrutiny, A/B growth testing

TechCrunch

The potential of AI tools like ChatGPT creates a similar dilemma — should companies license large language models without modifications, or customize them and pay much higher usage rates? Walter Thompson Editorial Manager, TechCrunch+ @yourprotagonist When it comes to large language models, should you build or buy?

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Microsoft’s latest OpenAI investment opens way to new enterprise services

CIO

OpenAI has landed billions of dollars more funding from Microsoft to continue its development of generative artificial intelligence tools such as Dall-E 2 and ChatGPT. And, of course, they can check out ChatGPT, the interactive text generator that has been making waves since its release in November 2022.

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10 most difficult-to-fill IT roles — and how to address the gap

CIO

The biggest challenge is finding talented team members at the market rate,” says Patrick Isaac, CTO at Accuro Solutions, adding that the current environment demands more intensive recruiting efforts. We have learned to think and act quickly in our efforts to attract and retain top talent in these areas,” says Jeanine L. The net result?

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CIOs confront generative AI’s workplace X factor

CIO

In the rush to establish technical strategies for making good on the promise of generative AI, many CIOs find themselves running headlong into what may be their most challenging task yet: preparing their organization’s end-users — from knowledge workers and assembly line laborers to doctors, accountants, and lawyers — to co-exist with generative AI.

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IT leaders’ AI talent needs hinge on reskilling

CIO

That shift is in no small part due to an AI talent market increasingly stacked against them. Although some colleges already offer AI classes, many haven’t had time to create new programs to meet the increased demand from the new AI boom, which started with the launch of ChatGPT in November 2022.

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

CIO

A broad spectrum of tools has arisen to facilitate software development in the enterprise, from no-code platforms like Bubble and low-code drag-and-drop tools , both stand-alone and integrated into enterprise applications, to intelligent tools that use machine learning to suggest lines of code to professional developers as they work.

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Prompt Engineer vs. AI Engineer: Which Expert Does Your Business Need?

Mobilunity

Thousands of businesses have started using generative AI, like AI ChatGPT, Jasper, Dall-E, Scribe, etc., Let’s learn how this role differs from an AI software engineer and which expert your business needs more. Let’s learn how this role differs from an AI software engineer and which expert your business needs more.