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试用DataCamp for Business课程描述
Discover How to Access DeepSeek AI Models
Since the release of its V3 and R1 models, DeepSeek has emerged as a market leader in developing high-performance, open-source large language models (LLMs) for the AI community. These models were developed with cutting-edge research that reportedly slashed training costs by up to a factor of 30 compared to similar market-leading models at the time.To begin extracting business value from DeepSeek's models, you'll need to learn to work with their Application Programming Interface, or API. Throughout the course, you'll learn to use Python code to send requests to use DeepSeek's models. Discover what the DeepSeek hype was all about!
Solve Real-World Problems Using DeepSeek Models
DeepSeek models have a wide range of potential applications. In this course, you'll use DeepSeek to generate and transform text content, perform sentiment analysis, and categorization.Begin Developing AI Applications
As AI becomes more accessible to individuals and organizations, the bar for developing AI-driven product features and automations continues to fall. Right now, every organization has the capability to begin using AI to streamline business processes and develop more personalized customer experiences. DeepSeek models are accessible via APIs so software engineers and developers can start integrating AI into applications and systems.先决条件
Intermediate Python1
Introduction to DeepSeek
Harness the power of AI with DeepSeek's V3 chat and R1 reasoning models by creating requests to Together.ai's API with just a few lines of code!
2
Prompting DeepSeek Models
DeepSeek's models have created headlines the world over. In this chapter, you'll generate and refine text, classify content with AI, analyze sentiment, and explore shot prompting to optimize response outputs. Finally, you'll use reasoning models for code debugging and analyzing legal documents.
3
Building Conversations with DeepSeek
Time to create your very own AI-powered chatbot! You'll learn how to write effective system messages, provide examples in the form of user and assistant messages, and integrate a message history to retain context between prompts. You'll even integrate reasoning models into chatbots to make them even smarter!
Working with DeepSeek in Python
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