Top Trends in Gen AI Development

ML engineers are anxious about their models meeting goals and conforming to regulations and expectations. When in-house isn’t enough, they’re turning to external partners who have the resources and expertise to refine a model so that it’s ready for prime time—AKA, the real world.

What's Inside

• Pros and cons of building models from scratch versus fine-tuning existing options
• 6 essential questions when choosing a foundation model
• The increasing regulatory emphasis on risk and responsibility for generative AI
• Why AI models need crystal-clear data to avoid post-deployment problems
• How to minimize a model's negative environmental and societal impacts