Generative AI and Best Practices for Enterprise Adoption | Scale AI

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In this talk, we'll discuss the results of the 2nd edition of Scale Zeitgeist: AI Readiness Report. Scale surveyed more than 1,600 executives and ML practitioners on the challenges and best practices of building and adopting AI. With this report, we help you look past the hype and explore the impact of generative models such as Large Language Models (LLMs), and how organizations can deploy AI for real business impact.

Bihan Jiang, Product Manager at Scale will host a discussion with David Rokeach, VP of Enterprise AI at Scale, and Jonathan Rosenbluth, Director of Product Strategy at Cohere, to discuss the results of the report and best practices in adopting AI in the Enterprise.

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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.

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

stealth.x