Unlocking Deep Seek R1: Running Advanced Chinese AI Locally
- Authors
- Published on
- Published on
In this riveting episode by David Ondrej, we dive headfirst into the world of AI with the groundbreaking Deep Seek R1 model from China. Surpassing the once-popular Chad GBT, Deep Seek R1 is not only 27 times cheaper than O1 but also boasts a staggering 671 billion parameters. This AI powerhouse has sent shockwaves through the tech industry, causing a massive $600 billion loss for American giants like Nvidia and AMD. But fear not, as Deep Seek R1 offers smaller distilled versions that can run on a variety of computer setups, making its cutting-edge technology accessible to all.
As we witness the global outage at Deep Seek due to its unprecedented popularity, the spotlight shines on the model's reasoning capabilities. Unlike traditional language models, Deep Seek's reasoning models provide insightful responses that outshine the competition. Sam Altman himself acknowledges the impressive feats of Deep Seek, highlighting the healthy competition it brings to the AI arena. But the road ahead is not without its challenges, as OpenAI grapples with adapting to the success of Chinese AI models like Deep Seek.
China's rise in the AI race is no coincidence, fueled by abundant energy resources and top-tier talent. Models like Deep Seek leverage reinforcement learning, a powerful training method that sets them apart in the field. Through a step-by-step guide presented in the video, users can easily run Deep Seek R1 on their computers using tools like Vectal and AMA. By embracing open-source models like Deep Seek, users gain unprecedented insight into the inner workings of AI decision-making, ushering in a new era of adaptability and learning in the tech landscape.
Image copyright Youtube
Image copyright Youtube
Image copyright Youtube
Image copyright Youtube
Watch How to run DeepSeek on your computer (100% private) on Youtube
Viewer Reactions for How to run DeepSeek on your computer (100% private)
Running smaller than 671b parameter model is not running R1
Different base models for various sizes of models
DeepSeek allows running own AI model on own hardware
Interest in building a modular system for AI
Reinforced learning with AI models
Comparison between OpenAI and DeepSeek
Concerns about privacy and data security
Questions about feeding large data to DeepSeek
Interest in setting up text generation tasks with DeepSeek
Concerns about speed and complexity of explanations
Related Articles
Exploring AI Opportunities for 2025: Applications, Automations, and Model Selection
David Ondrej explores the AI landscape for 2025, highlighting the importance of AI applications in delivering business value. Discussions include AI automations, model selection for coding tasks, and the evolving personalities of AI models. Exciting insights into the future of AI technology.
Unleashing OpenAI Model 03: AI Mastery for Location Finding and Upwork Projects
Explore the groundbreaking OpenAI Model 03 and its Mini version in David Ondrej's video. Witness their unmatched AI capabilities, from location finding to image analysis, coding prowess, and completing lucrative Upwork projects. Unleash the power of AI innovation with OpenAI's latest models.
Mastering AI: Building GPT4.1 Agents for Personalized Education
Explore the groundbreaking GPT4.1 AI model from OpenAI in this tutorial. Learn to build a team of AI agents using Windsurf and Vectal, maximizing the model's coding and long-context capabilities. Unlock the potential of personalized education with GPT4.1 family models.
Revolutionize App Development with Firebase Studio and Gemini 2.5 Pro
Explore Firebase Studio, Google's VIP coding app powered by Gemini 2.5 Pro AI model. Witness seamless app building, troubleshooting, and enhancements, revolutionizing the development landscape.