Greg's DeepSeek Cheetsheet: From Installation to Expert Prompting: https://www.gregisenberg.com/deepseekRay Fernando, a former Apple engineer, gives an in-depth tutorial on DeepSeek AI and local model implementation. The conversation includes detailed guide for setting up local AI environments using Docker and OpenWebUI, and how to implement DeepSeek on mobile using the Apollo app.Key Points:• Comprehensive overview of DeepSeek AI and its reasoning capabilities• Discussion of data privacy concerns when using Chinese-hosted models• Detailed tutorial on running AI models locally using Docker and OpenWebUI• Comparison of different AI model providers (Fireworks, Grok, OpenRouter)• Mobile implementation of AI models using Apollo appTimestamps:00:00 - Introduction02:34 - Overview of DeepSeek05:29 - Data privacy concerns with Chinese-hosted models08:02 - Running Models Locally with OpenWebUI10:06 - Comparing Hosting Providers: Fireworks and Groq16:54 - Cost Comparison of using/running AI Models18:35 - Improving Prompts for Better Outputs22:41 - Running AI Models Locally: A Step-by-Step Guide37:09 - Mobile AI implementation discussion45:27 - Future implications and closing thoughts1) DeepSeek's R1 Model - What's the big deal?• On par with ChatGPT's reasoning capabilities• Open source & free to use• BUT hosted in China (data privacy concerns)• Incredible for analysis and content generation2) Alternative Ways to Use DeepSeek:• Fireworks AI ($8/million tokens)• OpenRouter• Grok API• Local hosting (safest for sensitive data)3) Running AI Models Locally Step-by-step setup:• Install Docker• Use OpenWebUI• Download models via Ollama• Configure API connectionsPro tip: Takes 5 mins to set up, saves hours of worry about data privacy4) Mobile AI is HERE!• Apollo app lets you run models locally on phone• Download smaller, optimized models• Works offline• Perfect for quick analysis on the go5) Temperature Settings Explained:High temp (0.8-1.0) = Creative modeLow temp (0-0.3) = Logical modeChoose based on your needs!6) FUTURE PREDICTIONS • Watch-based AI coming soon• Emergency response applications• Real-time negotiation assistance• Advanced audio analysis7) Getting Started Tips:• Start with public data on DeepSeek• Experiment with different models• Use temperature settings wisely• Focus on practical use casesNotable Quotes:"We're in this new deep-seek world where if you figure out the model that works for you and the tasks that you want to accomplish, you might be able to out-compete whoever you're competing against." - Greg"Please don't be fearful or don't feel like you're left behind. If you're just finding out about this, you're not that far behind. We're all actually still trying to understand what this intelligence can give us." - Ray FernandoLCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We turn 'what if' into reality with AI, apps, and next-gen products https://latecheckout.agency/BoringAds — ads agency that will build you profitable ad campaigns http://boringads.com/BoringMarketing — SEO agency and tools to get your organic customers http://boringmarketing.com/Startup Empire - a membership for builders who want to build cash-flowing businesses https://www.startupempire.coFIND ME ON SOCIALX/Twitter: https://twitter.com/gregisenbergInstagram: https://instagram.com/gregisenberg/LinkedIn: https://www.linkedin.com/in/gisenberg/FIND RAY ON SOCIALX/Twitter: https://x.com/RayFernando1337YouTube: https://www.youtube.com/@RayFernando1337Ray's Website: https://www.rayfernando.ai
Full Episode
Ray Fernando on the pod. He's a 12-year ex-Apple engineer. He streams AI coding. He's building an AI startup in real time. I needed to have you on because what are we going to talk about today, Ray?
Today, we're going to talk about prompting. And we're going to be specifically prompting with the new reasoning models with DeepSeq R1. And there are a lot of caveats as far as these models because they're now able to think and reason. And what that can do is can even lead to superhuman capabilities.
And so what does that mean is that these models have now become so advanced and this specific one from DeepSeq is out of China. And what that allows you to do is basically they've made it open source so that it's available for us to study. But it's apparently also on par with ChatGPT's like O1 model, O1's reasoning models.
And why it's taken the world by storm is because the fact that it's also free to use on their website. So deepseek.com. And when we say free, there's also a little bit of a caveat if you don't really know.
So I just want to also kind of cover a little bit of the architecture today and explain what you're going to get into if you use something like DeepSeq and then maybe how you can also run this in something that can run like in a container like in North America or in some other area because your data is really important, especially if you're doing anything for business.
And then also the third kind of secret bonus there would be how to actually run this locally on your machine so you can get the capability of these models and run that locally for your own private businesses, whether you're a lawyer, you're a doctor or whatever. There's a lot of different implications that you probably want to look into.
So I think that this episode is going to be super helpful if you're even just beginning and you don't really know some of the advanced stuff or know code. That's OK. It just takes learning English or using English to describe these things. to get the output and the intelligence of these models to do some really cool stuff. So I'm pretty excited. All right, let's get into it. Cool. Excellent.
To start out, to use these models, you have a couple of options. And one is going directly to deepseek.com. And this is actually currently hosted in China. So a little bit of background here is that your computer is here. Like, for example, I'm in North America. And if I go to deepseek.com or download the app from the App Store, the app will actually be talking to a region over in China.
And for what it may be, whenever you send your data over to another country, they have their own rules and laws and regulation. So I would be very careful as far as anything you put into the system, as far as if you have any sensitive data, because it would not belong to a region that you may live in or have control in.
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