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Working with DeepSeek in Python
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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.Prerequisites
Intermediate PythonIntroduction to DeepSeek
Prompting DeepSeek Models
Building Conversations with DeepSeek
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FAQs
Which DeepSeek models does this course cover?
You work with DeepSeek V3, a chat model, and DeepSeek R1, a reasoning model. Both are accessed through Together.ai API to handle different types of tasks.
What practical tasks will I complete using DeepSeek?
You generate marketing content, summarize customer conversations, classify and analyze sentiment, debug code, analyze legal documents, and build a Python coding chatbot.
Do I need prior experience with AI or large language models?
No. This is a beginner-level AI course. You only need intermediate Python knowledge to get started with DeepSeek through the Together.ai API.
Will I learn to build a chatbot in this course?
Yes. Chapter 3 teaches you to create an AI-powered chatbot with system messages, example conversations, message history for context retention, and integrated reasoning models.
How does the course access DeepSeek models?
You connect to DeepSeek models through Together.ai API using Python, requiring just a few lines of code to send requests and receive generated responses.
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