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CodeSignal

Creating a Personal Tutor with DeepSeek and Django

via CodeSignal

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Overview

Build a personal AI tutor using DeepSeek and Django. Learn to send queries, adjust API settings, manage sessions, and design system prompts for personalized guidance. DeepSeek’s API (OpenAI SDK-compatible) lets you quickly move from theory to a functional, interactive tutoring app.

Syllabus

  • Unit 1: Sending a Simple Query to DeepSeek
    • Sending Your First Prompt to DeepSeek for a Fun Fact
    • Switching DeepSeek Models for Improved Reasoning
    • Fix OpenAI API Response Extraction Bug
    • Implementing a Basic AI Conversation with DeepSeek-R1
  • Unit 2: Customizing AI Tutor Responses with Model Parameters
    • Testing Default AI Model Behavior
    • Controlling AI Response Length with the max_tokens Parameter
    • Adding Temperature Parameter for Controlled AI Responses
    • Experimenting with High Temperature Values in AI Responses
    • Adding Presence Penalty to Encourage Response Diversity
    • Using Frequency Penalty to Minimize Repetition in AI Responses
  • Unit 3: Message Types and Session History
    • Initializing Conversation History with User Message
    • Sending and Receiving AI Messages
    • Building AI Conversation Context
    • Visualizing Conversation History by Iterating Through Messages
    • Enhancing send_message Function to Manage Conversation History
  • Unit 4: Personalizing Your Tutor with System Prompts
    • Creating Custom AI Personas with System Prompts
    • Testing AI Persona Persistence Across Conversation Turns
    • Fix System Prompt Role Assignment in AI Conversation Code
    • Creating a Custom AI Persona with System Prompts
  • Unit 5: Managing Multiple Tutoring Sessions with DeepSeek
    • Implementing a Function to Create and Initialize Tutoring Sessions
    • Implementing a Send Message Function for Tutoring Chat Sessions
    • Integrating DeepSeek-V3 Model into a Tutoring System
    • Managing Multiple Tutoring Sessions

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