The Prompt: Takeaways from hundreds of conversations about generative AI - part 1 | Google Cloud Blog

The explosion of generative AI made us pause and consider what was possible now that wasn’t a year ago. We tried many ideas which didn’t really click, eventually discovering the power of turning every feed and job posting into a springboard to:

• Get information faster , e.g. takeaways from a post or learn about the latest from a company.


• Connect the

... See more

The idea is: learn to prompt chatbots very well = get way better outputs.

Right now, intricate prompting is helpful for some tasks. But over time, we think it’s an overrated skill. Here’s why:

1. As AI models improve, they require less “engineered” prompts. DALL-E 3 is a great example of this (you get top-tier images with < 10-word prompts).

In this c... See more

Generative AI’s first

year out the gate—“Act 1”—came from the

technology-out

. We discovered a new “hammer”—foundation models—and unleashed a wave of novelty apps that were lightweight demonstrations of cool new technology.

We now believe

the market is entering “Act 2”—which will be from the

customer-back

. Act 2 will solve human problems end-to-end.... See more

- The generative AI revolution is swiftly giving rise to a myriad of startups, with an increasing need to categorize them by their function in the AI landscape, including foundational model providers, infrastructure enablers, and application developers.

- Generative AI is transforming industries across the globe, not just in Silicon Valley, with imp... See more

When it comes to identifying where generative AI can make an impact, we dig into challenges that commonly:

• Involve analysis, interpretation, or review of unstructured content (e.g. text) at scale


• Require massive scaling that may be otherwise prohibitive due to limited resources


• Would be challenging for rules-based or traditional ML approaches