AI Customization Paradigm Shift: Fine-Tuning, Long Context Models, and Future Trends

The AI Use Cases Podcast
27/08/2024 5 min Episodio 31

Listen "AI Customization Paradigm Shift: Fine-Tuning, Long Context Models, and Future Trends"

Descargar episodio Ver en sitio original

Episode Synopsis

This episode starts with a welcome and an introduction to Chris Chang, focusing on AI customization challenges. The discussion compares fine-tuning and in-context learning and explores the emergence of long context models. The conversation then shifts to the AI customization paradigm shift, emphasizing an ecosystem approach and the democratization of AI. Strategies for evaluating AI, future trends, and closing remarks are also covered.

More episodes of the podcast The AI Use Cases Podcast

Exploring AGI's Impact, Economic Insights, and the Future of AI-Augmented Work 12/02/2025
Introducing ambient agents 16/01/2025
OpenAI's o1 Model: Capabilities, Design Trade-offs, and AI Alignment Challenges 19/12/2024
AI in Idea Generation, Management of Risks, and Practical Wisdom in Application 10/12/2024
AI and Digital Assets: Exponential Growth, Investment Shifts, and Rapid Development Insights 03/12/2024
Unstructured Data in Finance: Investment Support, Compliance, and Risk Management 25/11/2024
Enterprise AI: Spending Trends, Generative Use Cases, and Market Disruption 21/11/2024
Healthcare AI: Gradient's Impact on Population Health and Member Satisfaction 20/11/2024
Bitcoin's Impact: Store of Value, Network Effects, and Societal Implications 18/11/2024
AI Evolution: Strategic Implementation, Automation, and Human-AI Collaboration 11/11/2024
© 2003-2025 ZARZA | AHEAD OF OUR TIME
privacy policy
In God we trust In God we trust
PreSales Questions? Click Here
or call our toll-free line at +1-888-5002068 Miami, Florida, USA