Key insights

• 🚀 🚀 Deep Seek R1 excels in reinforcement learning, enabling it to self-optimize answers effectively, which sets it apart from ChatGPT.
• 💰 💰 Being free and open-source, Deep Seek R1 offers significant cost savings for users and can run on less powerful devices.
• 🤖 🤖 While it struggles with creative writing, Deep Seek R1 is proficient in logic, math, and coding, employing a unique 'Chain of Thought' approach.
• 🕹️ 🕹️ The model can automate game creation in JavaScript and Python, showcasing capabilities like collision detection and user input adjustments.
• 🖥️ 🖥️ Deep Seek R1 is available in distilled versions reducing resource requirements, making it accessible to more users.
• 🌐 🌐 The model is designed for real-time data analysis, allowing users to modify settings for enhanced creativity and content generation.
• 🚀 🚀 Users can leverage Deep Seek via API through platforms like OpenRouter, enabling automation and app development with ease.
• 🔒 🔒 However, concerns around data privacy and censorship persist due to data being stored in China and limitations on certain topics.

Q&A

• How does the Chain of Thought approach in Deep Seek work? 🧠

  Deep Seek's Chain of Thought process enables the model to break down problems step-by-step to arrive at solutions. This structured reasoning approach enhances learning and understanding within various tasks, such as logic, math, and coding, making it an excellent tool for educational purposes.

• What are some limitations of Deep Seek R1? ⚠️

  While Deep Seek R1 is a powerful tool, it does have limitations. It faces issues with data storage in China, raises privacy concerns, and has censorship restrictions on sensitive political topics. These factors may affect its usability in certain contexts, particularly regarding creative writing and discussions on delicate subjects.

• What applications can I build using Deep Seek's API? 🚀

  You can harness the Deep Seek API through OpenRouter for various applications, including automation, coding assistance, and the making of AI agents. For instance, you can use it with Cursor AI for generating websites or employ it with Make.com to create automations, like auto-responding to Gmail emails.

• Can Deep Seek generate real-time insights and content? 🌍

  Yes, Deep Seek R1 allows users to interact with it for real-time data analysis and content generation. Users can modify settings to enhance creativity, analyze files, and generate business ideas. With its integration with perplexity, it boosts reasoning capabilities and creates relevant content across various domains.

• How do I install and run Deep Seek R1 locally? 💻

  To install Deep Seek R1 locally, users should consider the parameters of the model they wish to run. The 8 billion parameter model is particularly easy to install via the AMA command in the terminal. Distilled versions require less memory and can run on systems as compact as Raspberry Pi, enabling broad accessibility.

• How can I automate game development using Deep Seek? 🎮

  Deep Seek can automate the creation and modification of games and simulations in languages like JavaScript and Python. It handles features such as player movement, enemy spawning, and collision detection. Users can resolve specific issues through code adjustments, like fixing the inability to shoot in a game scenario.

• Is Deep Seek R1 suitable for creative writing? 📚

  While Deep Seek R1 excels in logic, math, and coding tasks, it is not optimized for creative writing. Its functionality shines in structured tasks rather than creative storytelling, and it may exhibit limitations in producing imaginative content.

• What makes Deep Seek R1 unique compared to ChatGPT? 🤔

  Deep Seek R1 employs a distinct reinforcement learning training methodology, as opposed to ChatGPT’s supervised fine-tuning. This model can self-evaluate and optimize its responses, enhancing its performance. Additionally, it is free, open-source, and accessible for use on less powerful devices, making it favorable for many users.

• 00:00 Deep Seek R1, a recently launched reasoning model from China, outshines ChatGPT with its unique reinforcement learning training, open-source accessibility, and significantly lower costs, making it the preferred AI tool for many users. 🚀
• 04:54 Deep Seek has limitations, especially regarding data storage in China, creative writing, and censorship. However, it excels in logic, math, and coding tasks, offering a unique Chain of Thought approach to problem-solving. 🤖
• 10:10 The video showcases how Deep Seek can automate the creation and modification of games and simulations using JavaScript, including addressing issues like collision detection and user input. The process also highlights limitations like censorship around sensitive topics. 🕹️
• 15:08 In this segment, the speaker guides viewers on how to run the DeepSeek R1 model, discussing its parameters and installation steps, highlighting the benefits of using distilled models that are less resource-intensive. 🖥️
• 20:36 The video showcases how to use the Deep Seek r1 model with perplexity for real-time data analysis and content generation. Users can modify settings to enhance creativity and directly engage with the model, asking questions and generating insightful ideas for businesses and social media content. 🌐
• 27:06 Discover how to use Deep Seek locally, via its API through OpenRouter, for various applications including automation, coding assistance, and AI agent creation. 🚀