GROQ_KEY

This course teaches you about DeepSeek, the latest upgrade in DeepSeek’s reasoning model, and how it competes with OpenAI’s upcoming o3.

deepseek.tar.gz

hangman

o3_code

r1_code

hangman-code

r1-inference

DeepSeek is stepping up to rival the biggest names in the AI industry with its latest reasoning model, R1. This course offers an in-depth exploration of DeepSeek’s architecture, reasoning capabilities, and real-world applications, comparing its performance against leading AI models like OpenAI’s o3.

Through structured lessons, you’ll learn about the inner workings of DeepSeek V3, understand how reinforcement learning enhances chain-of-thought reasoning, and analyze AI performance metrics. You’ll also learn how privacy, security, and efficiency impact AI deployment while determining whether DeepSeek-R1 outperforms OpenAI’s latest advancements.

By the end of this course, you’ll gain practical experience by building a Hangman application using DeepSeek-R1. You’ll also critically evaluate the limitations, biases, and challenges of DeepSeek, helping you decide whether it is truly a game changer or just another contender in the AI universe.

Everything You Need to Know About DeepSeek

Learn how to build a Hangman game using DeepSeek-R1 and Streamlit to analyze the reasoning abilities of the model.


Build Hangman Application Using DeepSeek-R1

Learn how to build a Hangman game using DeepSeek-R1 and Streamlit to analyze the reasoning abilities of the model.

Welcome to the World of DeepSeek!

Introduction to DeepSeek

The Future of AI

Build Hangman Application Using DeepSeek-R1