Google's generative AI strategy

2022 has been a huge year for generative artificial intelligence. Large language models have continued to make progress in generating text and software code. At the same time, we’ve seen tremendous advances in text-to-image generators with the introduction of models such as DALL-E 2, Imagen, and Stable Diffusion.

The year was also marked by an acceleration in productizing generative AI models. The science and technology of generative models are maturing to the point of being able to solve real problems. Now, companies like Microsoft and Google are looking for ways to take the lead in a newly shaping market that might change the future of creativity.

In this week’s AI@ ’22 conference, Google showed a glimpse of its roadmap for leveraging generative models in its products. Its strategy can be a prelude to where the field is headed and where the competition might shift in the future.

Read the full article on TechTalks.

For more on AI business and product management:

• DALL-E 2 on Microsoft Azure: the market for generative models matures

• The growth stage of applied AI and MLOps

• GitHub Copilot is among the first real products based on large language models

• A framework for enterprise AI adoption