Generative AI and Best Practices for Enterprise Adoption | Scale AI

[@micbab-vg2mu]

Thank you for the video - great talk.

[@labsanta]

For my bed:
- Generative AI poised to disrupt business models across sectors.
- Companies ramp up AI investment, 72% to increase in 2023.
- Fine-tuning, RLHF essential for optimal generative AI.
- Customization vital for enterprise-specific AI applications.
- RLHF incorporates human preferences, reduces errors.
- Move from AI experimentation to implementation crucial.
- Generative AI benefits across industries, not just hype.
- Retrieval augmented generation enhances accuracy.
- Shifting AI focus from experiment to implementation.
- Tangible benefits prove generative AI's potential.
- 72% companies increasing AI investments.
- Rising generative AI attention by advisory firms.
- Generative AI disrupting business models.
- Fine-tuning, RLHF optimize AI for tasks.
- Implementing AI models necessary for success.
- Retrieval augmented generation enhances accuracy.
- Customization crucial for enterprise AI success.
- Scaling AI needs fine-tuning, proprietary data.
- Zeitgeist report: Insights into generative AI adoption.
- Generative AI transforms industries, re-rank endpoint vital.
- Challenges, opportunities in enterprise AI highlighted.
- Practical challenges in deploying AI underscored.
- Retrieval augmented generation bridges knowledge gap.
- Scale's Enterprise Generative AI Platform advances AI.
- Generative AI reshapes industries, demands attention.

[@supersoftwashing]

Seattle

[@supersoftwashing]

Useful

[@stealth.x]

>_ eyes past the hype... 🧐, got it...👍 >_

[@_ARCATEC_]

💓