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CodeSignal

Creating a Chatbot with OpenAI in Python

via CodeSignal

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Overview

Dive into the world of AI by building a chatbot using OpenAI! Learn to send messages, tweak API settings, keep track of conversations, and craft unique system prompts. Explore AI's potential in a fun and interactive way!

Syllabus

  • Unit 1: Sending a Simple Message to OpenAI
    • Modifying Your First API Request to Get a Fun Fact
    • Switching Models to Improve Reasoning Accuracy
    • Fixing a Bug in API Response Handling
    • Requesting Multiple AI Responses with the n Parameter
    • Completing a Basic OpenAI API Interaction
  • Unit 2: Exploring Model Parameters
    • Exploring Default AI Behavior with Basic Parameters
    • Controlling Response Length with max_tokens Parameter
    • Adding Temperature Parameter to Control AI Creativity
    • Exploring High Temperature Settings in AI Response Generation
    • Implementing Presence Penalty to Encourage Topic Diversity
    • Reducing Repetition with Frequency Penalty Parameter
  • Unit 3: Message Types and Conversation History
    • Initializing Conversation History with a User Message
    • Passing Conversation History to the AI Assistant
    • Building a Conversation History with OpenAI API
    • Visualizing Conversation History
    • Enhancing the Conversation Management
  • Unit 4: Personalizing AI's Behavior with System Prompts
    • Creating Custom AI Personas with System Prompts
    • Maintaining AI Persona Across Multiple Interactions
    • Fixing the System Prompt Role Bug
    • Creating a Custom AI Persona with System Prompts
  • Unit 5: Managing Multiple Chat Sessions with OpenAI
    • Creating a Chat Session Management Function
    • Implementing a Chat Session Message Handler
    • Integrating OpenAI's GPT-4 Model with a Chatbot for Dynamic Responses
    • Managing Multiple Chat Sessions

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