Michael Trestman
Michael Trestman, Ph.D, is a researcher and writer based in Portland, OR.
Case study: How NY-Presbyterian has found success in not rushing to implement AI
Dr. Beecy shares how NYP's AI strategy focuses on governance, ethics, and transparency to enhance patient care and ensure responsible AI adoption.
Michael Trestman
How Cerebras is breaking the GPU bottleneck on AI inference
Cerebras' CS-3 chip, with 4 trillion transistors, offers a competitive edge over Nvidia GPUs in AI inference, promising faster processing and energy efficiency.
Michael Trestman
Agentic AI: A deep dive into the future of automation
Agentic AI merges automation with LLMs, enabling autonomous actions in enterprises, transforming sales, marketing, and cybersecurity with real-time decision-making.
Michael Trestman
How few-shot learning with Google’s Prompt Poet can supercharge your LLMs
Prompt Poet by Character.ai, acquired by Google, streamlines prompt engineering, enabling efficient AI customization with few-shot learning.
Michael Trestman
Meet Prompt Poet: The Google-acquired tool revolutionizing LLM prompt engineering
Character.ai's Prompt Poet, acquired by Google, streamlines LLM prompt engineering with low-code templates, enhancing AI application efficiency and context management.
Michael Trestman