DeepSeek-R1 Crash Course
Andrew Brown's crash course explores the basics of Deep Seek, a Chinese company offering cost-effective open-weight LLMs, focusing on model capabilities, local deployment, and hardware requirements.
MAIN POINTS FROM TRANSCRIPT
- Deep Seek offers open-weight LLMs like R1 and V3, with a focus on cost efficiency.
- The course covers downloading and running Deep Seek models locally using tools like Studio LM.
- Deep Seek R1 is a text generation model with improved performance over its predecessor, R10.
- The course emphasizes the importance of local hardware for running Deep Seek models effectively.
TAKEAWAYS
- Deep Seek models are significantly cheaper to train and run compared to OpenAI models.
- R1 model addresses issues of readability and language mixing present in R10.
- Local hardware investment is crucial for effectively running Deep Seek models.
- Deep Seek's cost efficiency impacts the demand for expensive computing resources.