DeepSeek vs, ChatGPT: AI Model Comparison Guide for 2025

September
17
2025 (Wednesday)
Time 12:00 PM PDT | 03:00 PM EDT
Duration: 60 Minutes
65 Days Left To REGISTER
Instructor
Michael Levitt

This session provides a detailed comparison between DeepSeek and ChatGPT, highlighting their strengths and weaknesses in key areas such as NLP capabilities, multimodal processing, content generation, speed, integration, and ethical considerations.

Live
Recorded
Live + Recorded
Refund Policy

Overview

This session provides a detailed comparison between DeepSeek and ChatGPT, highlighting their strengths and weaknesses in key areas such as NLP capabilities, multimodal processing, content generation, speed, integration, and ethical considerations. Attendees will gain insights into which AI model best suits their needs for business, research, or content creation

Why you should Attend

Fear, uncertainty, and doubt (FUD) are common in AI adoption. Understanding AI advancements helps businesses and professionals make informed decisions, ensuring they use the best tools for productivity, automation, and innovation.

Areas Covered in the Session

  • Overview of DeepSeek and ChatGPT
  • NLP capabilities and conversational AI
  • Creativity and content generation
  • Multimodal AI and technical applications
  • Business and enterprise integration
  • Ethical considerations and AI security

Who Will Benefit

  • Business leaders
  • AI professionals
  • Researchers
  • Content creators
  • Tech enthusiasts

Speaker Profile

Michael Levitt is a global thought leader on HR, burnout, and workplace culture, a CBT and NLP therapist, a Top 50 Global Thought Leader and Influencer on Health and Wellness, a sought-after keynote speaker and executive coach, a published author of several books, and the host of the Breakfast Leadership Show, a Top 20 global podcast for thought leadership by Thinkers360.
Access Recorded Version
One Attendee / Group Attendees

Unlimited Viewing Recorded Version for 6 months ( Access information will be emailed 24 hours after the completion of live webinar)