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Running Deep Seek R1 can be done using either a hosted version with an API key or running the model locally. Installing Llama and pulling the desired model is essential, with options varying based on machine and GPU capabilities. Demonstrating the deeper thinking functionality of Deep Seek showcases its ability to provide insight into problem-solving processes, presenting both thinking stages and solutions in markdown format. The application being built features a text entry for user questions and implements API calls to interact with Deep Seek, thereby creating a functional chat application that displays AI responses dynamically.
Overview of Deep Seek R1 options and installation of Llama.
Demonstration of Deep Seek's problem-solving and thinking functionality.
Description of setting up the API call and obtaining responses.
Implementation of the client-side interaction handling user queries.
The advancements in models like Deep Seek raise essential questions around AI governance, particularly concerning transparency and accountability in AI reasoning processes. As users engage with such systems, understanding how AI arrives at its conclusions becomes critical in mitigating biases and ensuring ethical AI usage. Regulatory frameworks need to evolve to keep pace with these advancements to enhance public trust in AI applications.
The expansion of locally ran AI models, exemplified by Deep Seek and Llama, signifies a shift toward decentralized AI solutions, allowing users greater control and potentially reducing dependency on cloud services. This trend is anticipated to invigorate AI market competition, with companies focusing on optimizing local AI capabilities in response to privacy concerns and increasing demand for fast, secure AI applications in various industries.
The functionality of Deep Seek is showcased through a chat application, illustrating how it thinks through questions before providing solutions.
Installation of Llama is crucial for working with Deep Seek locally instead of online.
The video discusses how API endpoints are used to connect the chat application with Deep Seek for dynamic responses.
Deep Seek's recent models allow local deployment, enhancing user control over AI interactions.
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The application demonstrates Llama’s role in running Deep Seek effectively on personal hardware.
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