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Building Intelligent Tutor with DeepSeek in Python

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Overview

Dive into the world of AI tutoring by building a personal tutor using DeepSeek! Learn how to send queries, tweak API settings, manage tutoring sessions, and craft effective system prompts—all to offer tailored educational guidance. With DeepSeek’s API (compatible with the OpenAI SDK), you can quickly transition from theory to an interactive tutoring solution.

Syllabus

Unit 1: Interacting with DeepSeek: Sending Your First Query

Modifying Prompts to Get Different AI Responses
Switching Models for Better Reasoning
Fixing API Response Handling Bug
Creating a Simple Chat Completion with OpenAI

Unit 2: Exploring Model Parameters for Customizing AI Tutor Responses

Default AI Behavior Exploration
Controlling Response Length with max_tokens
Setting the Temperature Parameter
Experimenting with High Temperature Settings
Implementing Presence Penalty for Dynamic AI Responses
Reducing Repetition with Frequency Penalty

Unit 3: Message Types and Session History in AI Tutoring

Starting a Conversation with the AI
Passing Conversation History to the AI
Building a Contextual Conversation
Visualizing Conversation History
Enhancing the send_message Function for Efficient Conversation Management

Unit 4: Personalizing Your AI Tutor with System Prompts

Creating AI Personas with System Prompts
Maintaining AI Persona Across Multiple Interactions
Fixing the System Prompt Bug
Creating a Custom AI Persona with System Prompts

Unit 5: Managing Multiple Tutoring Sessions

Creating and Managing Unique Chat Sessions
Implementing a Chat Session Message Handler
Integrating DeepSeek's Language Model for Dynamic Chatbot Responses
Managing Multiple Chat Sessions

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