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Chat-Based AI Tool Training

Webinar

Chat-Based AI Tool Training

Your Price $0.00 - $54.00

Membership Type Pricing
Member $24.00
Non-Member $54.00
DPG20 Oncology Nutrition (ON) - Member $0.00
DPG20 Oncology Nutrition (ON) - Retired $0.00
DPG20 Oncology Nutrition (ON) - Student $0.00

This webinar will cover a brief history of AI and then dive into the specifics of various Chat-based AI tools currently available. We will talk about the differences between: Open AI’s Chat GPT, Meta’s Llama-3, Anthropic’s Claude, Perplexity, and more. We will cover tactical ways to structure prompts that are relevant to the practice of dietetics. Finally, we will wrap up with ethical considerations & limitations in using AI models.

Product Publish Details

Release Date: September 12, 2024

SKU: WEBONCBATT0924

CPE Level: 1

CPEU: 1.00 (Valid Until September 12, 2027)

Learning Objectives

  • Summarize how large language models (LLMs) are different than other AI models.
  • Understand the various Chat-based tools that are on the market.
  • Understand the limitations of these LLMs (dos & don'ts).
  • Use prompts to leverage AI for help in numerous tasks common to dietitian workflows.

Performance Indicators

  • 6.1 Proficiently uses electronic platforms, health information technology (HIT) and internet-based platforms consistent with role and responsibilities.
  • 6.2.2 Leads or participates on teams to design electronic programs, applications or systems to support nutrition and dietetic deliverables.
  • 6.2.7 Suggests, develops or implements innovative programs, platforms, applications and technologies in order to meet the needs of audiences and the workplace.
  • 6.3.2 Maintains security and confidentiality in the electronic sharing, transmission, storage and destruction of information.

Anna Brezhneva, B.S. in Computer Science

Anna Brezhneva, B.S. in Computer Science

Speaker

Anna lives in Menlo Park, CA where she is developing a new business to enable people to live a better quality of life through new nutrition products, tools, and services. She has spent her career working primarily within the oncology space - ranging from building tools for oncology clinical trials to diagnostic tests for early cancer detection. She has a degree in Computer Science with a focus on biocomputation from Stanford.

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