AI Chatbots: Harnessing the Power of Large Language Models with Chandra

What's inside

3 lessons

• 01
  Introduction to AI Chatbots with Chandra

  <p>Discover the role of AI in education with Chandra, your AI tutor at Dataquest. This lesson takes you through the rapid adoption of AI, from its subtle presence in daily routines to its significant advancements in various sectors. Learn about the types of AI chatbots, distinguishing between rule-based and AI-based types, and how Chandra, as a generative conversational AI, can support your learning, especially in coding. Trace the evolution of AI, understanding its roots and progression to technologies like machine learning and deep learning. Experience Chandra's capability to aid in coding challenges, providing real-time assistance and insights, and showcasing AI chatbots' significant impact in reshaping education and interactive learning.</p>

  36 min
• 02
  Capabilities and Limitations of AI Chatbots

  <p>Discover AI chatbot capabilities and limitations with Chandra as a case study. This course covers the concept of the context window, illustrating how chatbots recall information in conversations similar to human memory. It covers the significance of training data in shaping chatbot responses and highlights the need to address biases within this data. The lesson also examines chatbots' multilingual abilities and their challenges in interpreting emotions, underscoring the complexities of human-AI interaction. You'll learn to troubleshoot common chatbot errors through practical examples and apply your insights to enhance coding practices, particularly in Python.&nbsp;</p>

  30 min
• 03
  Managing Effective Interactions with AI Chatbots

  <p>Enhance your ability to communicate effectively with AI chatbots through prompt crafting and strategic questioning. This lesson teaches clear, specific, structured prompt creation, which is essential for eliciting accurate and relevant responses. Learn to use direct instruction for concise queries, example-based prompting for context-rich guidance, and iterative refinement to adjust inquiries based on initial responses. The lesson also includes setting precise roles and goals for chatbots, using Socratic questioning for deeper exploration, and incorporating context to enrich interactions. These techniques, practical in various settings, from customer service to data analysis, allow you to get the most out of your AI interactions.</p>

  26 min

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