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lctg_ai_talk_june2025

This is an old revision of the document!


This page last changed 2025.06.07 11:56 [4 times today, 1 time yesterday, and 296 total times]

This is material in support of the 6/11/2025 presentation and I expect that it will be updated and changed.

References in addition to what is on this page:

AI Presentation Outline: Exploring AI Engines and Beyond

This outline is designed for a presentation to the Lexington Computer Group, incorporating the topics and suggestions discussed in recent emails. It emphasizes practical demonstrations and a comparison of current AI tools, while also delving into more advanced concepts.

I. Introduction (5-10 minutes)

A. Welcome and Context:

  • Briefly introduce the purpose of the presentation: to explore the landscape of current AI engines and discuss their capabilities and implications.
  • Acknowledge the group's interest in AI and the collaborative nature of this topic (as suggested by recent email discussions).

B. “Let Me Sum Up”

  • Acknowledge the rapid evolution of AI and the need to understand its various facets.
  • Briefly touch upon the presenters' journey into understanding AI.

C. Presentation Goals:

  • To provide a comparison of popular AI chatbots.
  • To demonstrate practical applications and advanced features of AI.
  • To foster discussion and shared learning within the group.

Note: AI Chatbot = AI Bot = AI Engine

II. Comparing the Chatbots: Strengths and Experiences (20-25 minutes)

A. Overview of Selected Chatbots:

  • Comparison paper
  • Washington Post summary

B. Live Demonstration & Comparison (Heavy Emphasis):

  • Interactive Demos: For each chatbot, perform a standard set of tasks/questions.
    • Example Tasks:
      • Generating creative text (e.g., a short story, a poem).
      • Summarizing a complex article.
      • Answering factual questions.
      • Performing a simple coding task or debugging.
  • Discussion of Strengths (from experience):
    • Share personal insights on which chatbot excels in specific areas (e.g., creativity, factual accuracy, coding, conversational flow).
    • Discuss user interface and ease of use.
  • Sentiment Analysis Comparison:
    • Briefly present findings or a live demonstration of how different AI engines respond to sentiment analysis queries, as Peter Albin explored with Perplexity.

====III. Beyond Basic Chat: Advanced AI Capabilities (20-25 minutes)==== ===A. Retrieval Augmented Generation (RAG) Technology:=== * Concept Explanation: Use visualizations to explain what RAG is and why it's important for overcoming AI hallucinations and providing more accurate, grounded responses. * Demonstration: Show an example of an AI (e.g., Gemini) leveraging RAG to answer a question by citing specific sources or external knowledge. ===B. Deep Research Capability:=== * Concept Explanation: Discuss how AI can be used for in-depth research, going beyond simple search queries. * Demonstration: Showcase a “Deep Research” session (as John Day mentioned using Gemini for the energy consumption report). * Walk through the process of posing a complex query. * Show how the AI gathers and synthesizes information from multiple sources. * Present the results and discuss their utility. ===C. Programming with AI to Overcome Ambiguity:=== * Concept Explanation: Address the challenge of ambiguity in generative AI responses and how programmatic approaches can help refine and control outputs. * Demonstration: Provide a simple example of using AI for programming tasks, perhaps demonstrating how to refine a prompt or use structured output to get a more precise response. ====IV. Q&A and Open Discussion (15-20 minutes)==== ===A. Facilitated Discussion:=== * Open the floor for questions from the group. * Encourage attendees to share their own experiences with AI tools. * Discuss potential future topics for the group related to AI. * ===B. Future Outlook:=== * Briefly touch upon the ongoing advancements in AI and what the future might hold. * Emphasize the importance of continuous learning in this rapidly evolving field. ====V. Conclusion (5 minutes)==== ===A. Key Takeaways:=== * Reiterate the main points: AI tools offer diverse strengths, and advanced techniques like RAG and deep research enhance their utility. * The importance of hands-on experience and critical evaluation. ===B. Thank You and Next Steps:=== * Thank the audience for their participation. * Suggest resources for further exploration (e.g., specific AI platforms, online courses). * Invite continued discussion within the Lexington Computer Group. Visuals & Style Notes: * Use a mixture of high-level visualizations for concepts and live, on-line demonstrations (heavy emphasis on demos). * Keep explanations concise and focus on illustrating capabilities through practical examples. * Maintain an engaging and interactive tone.

lctg_ai_talk_june2025.1749322573.txt.gz · Last modified: by Steve Isenberg