Overview
Explore a technical video breakdown of the DeepSeek R1 model, diving into its underlying technical paper and learning how to implement its distilled versions through code examples. Examine comprehensive benchmarks, gain hands-on experience with the DeepSeek V3 Base model, and navigate the DeepSeek Chat Interface. Understand the technical intricacies detailed in the DeepSeek paper, discover its integration with Ollama, and follow along with a practical demonstration in Google Colab. Access additional resources including code repositories on GitHub, connect through social media, and explore opportunities for building LLM Agents through provided forms and Patreon support.
Syllabus
Intro
Benchmarks
Using the DeepSeek V3 Base model
DeepSeek Chat Interface
DeepSeek Technical Paper
DeepSeek available in Ollama
Demo Colab
Taught by
Sam Witteveen
Reviews
5.0 rating, based on 1 Class Central review
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The DeepSeek R1 Model - Technical Analysis and Implementation Guide provides a well-structured and in-depth exploration of the model’s architecture, training methodology, and real-world applications. It excels in offering a comparative analysis with other state-of-the-art models, helping learners understand its advantages and trade-offs. The course balances theory with practical implementation, including hands-on code walkthroughs and best practices for deployment. While highly technical, it remains accessible with clear explanations, making it valuable for both researchers and engineers looking to integrate DeepSeek R1 into their AI workflows.