**Lecture notes** for a **1-hour Introduction to DeepSeek**. These notes are structured for clarity and ease of delivery, covering the key points from the first hour of the tutorial plan.
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## **Lecture Notes: Introduction to DeepSeek**
### **1. What is DeepSeek?** (15 minutes)
- **Definition**:
- DeepSeek is a **semantic search and retrieval tool** designed to help users find relevant information quickly and efficiently.
- It leverages **context-aware retrieval** and integrates with **Large Language Models (LLMs)** to enhance search results.
- **Key Features**:
- **Semantic Search**: Understands the meaning behind queries, not just keywords.
- **Context-Aware Retrieval**: Provides results based on the context of the query.
- **Integration with LLMs**: Combines search results with LLMs for richer insights and summaries.
- **Cross-Platform Support**: Available via web, mobile/desktop apps, and APIs.
- **Use Cases**:
- **Research**: Quickly find academic papers, articles, or datasets.
- **Content Discovery**: Discover relevant content for blogs, videos, or social media.
- **Data Analysis**: Retrieve and analyze structured or unstructured data.
---
### **2. DeepSeek Architecture** (15 minutes)
- **How DeepSeek Works**:
- **Indexing Pipeline**:
- Crawls and indexes data from various sources (web, databases, etc.).
- Uses embeddings to represent data semantically.
- **Retrieval Pipeline**:
- Matches user queries with indexed data using semantic similarity.
- Ranks results based on relevance and context.
- **LLM Integration**:
- Enhances search results by summarizing, answering questions, or generating insights.
- **Web vs. App vs. API**:
- **Web**: User-friendly interface for manual searches.
- **App**: Mobile/desktop app for on-the-go access and offline usage.
- **API**: Programmatic access for developers to integrate DeepSeek into their applications.
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### **3. Setting Up DeepSeek** (30 minutes)
- **Step 1: Create an Account**:
- Visit [DeepSeek's website](https://www.deepseek.com) and sign up.
- Verify your email and log in to the platform.
- **Step 2: Access the Web Interface**:
- Explore the dashboard and perform a sample search.
- Use filters (e.g., date, source type) to refine results.
- **Step 3: Install the DeepSeek App (Optional)**:
- Download the app from the App Store (iOS) or Google Play (Android).
- Log in and sync your account for cross-device access.
- **Step 4: Generate API Keys**:
- Navigate to the **API Settings** section in your account.
- Generate a new API key and note it down for programmatic access.
- **Step 5: Set Up a Local Environment**:
- Install Python (if not already installed).
- Set up a virtual environment:
```bash
python -m venv deepseek-env
source deepseek-env/bin/activate # On Windows: deepseek-env\Scripts\activate
```
- Install required libraries:
```bash
pip install requests transformers
```
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### **Key Takeaways**
- DeepSeek is a powerful tool for **semantic search and retrieval**.
- It integrates with **LLMs** to provide context-aware and insightful results.
- Available via **web**, **app**, and **API**, making it versatile for different use cases.
- Setting up DeepSeek is straightforward, and the API allows for seamless integration into custom workflows.
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### **Q&A and Discussion** (10 minutes)
- **Questions to Ask**:
- What are some potential challenges when using semantic search tools?
- How can DeepSeek be used in your specific field (e.g., research, business, education)?
- What are the benefits of integrating DeepSeek with a local LLM like LLaMA 3.2?
- **Discussion Points**:
- Share examples of how semantic search can improve productivity.
- Discuss the importance of context-aware retrieval in modern search tools.
---
### **Next Steps**
- Explore the **DeepSeek web interface** and perform a few searches.
- Set up the **API** and try making a simple request using Python.
- In the next session, we’ll dive deeper into **effective usage** and **API integration**.
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These lecture notes provide a clear and structured introduction to DeepSeek, ensuring participants understand its purpose, architecture, and setup process. Let me know if you'd like to expand on any section!
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