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

References in addition to this:
  * [[ai_papers|Comparison of AI engines]]
  * [[ai_questions|Questions to ask AI engines]]

=====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" (as inspired by John Rudy):===

  * Acknowledge the rapid evolution of AI and the need to understand its various facets.
  * Briefly touch upon the presenters' journey into understanding AI, perhaps mentioning the BOLLI AI course.

===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.

====II. Comparing the Chatbots: Strengths and Experiences (20-25 minutes)====
===A. Overview of Selected Chatbots:===

  * Briefly introduce Chat GPT, Claude, and Gemini.
  * Highlight their general purpose and key differentiating philosophies (if any).

===B. Live Demonstration & Comparison (Heavy Emphasis):===

  * Interactive Demos: For each chatbot, perform a standard set of tasks (as suggested by Harry Forsdick).
    * 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 (Peter Albin's contribution):
    * 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.