Notes on Running DeepSeq Locally on Windows Command Prompt

Introduction to DeepSeq

• DeepSeq: Latest in generative AI with advanced reasoning and problem-solving capabilities.
• Gaining popularity due to efficiency and depth compared to rivals.
• Built on cutting-edge architecture for complex reasoning, coding, and multilingual understanding.
• Game-changer due to ability to handle intricate prompts with precision.
• Superior contextual awareness compared to traditional models.
• Rapid integration in businesses for productivity and automation.

Simply Learn Courses

• Offers multiple generative AI courses and certifications.
• Collaborations with leading universities like Purdue, IIT Kanpur, IIT Guwahati.
• Courses include Advanced Python, Machine Learning, Generative AI, etc.
• Provides opportunities to work on multiple projects and learn from industry experts.
• Successful transition of learners into AI roles or higher-paying jobs.

Preparing to Install DeepSeq

• Check available disk space:
  • Downloads folder is full.
  • Change location to another drive (D: emp_downloads).

Installing Ollama

• Download and install Ollama to run DeepSeq locally.
• Follow the steps:
  1. Navigate to the download link for Ollama.
  2. Complete the installation setup (may take some time).

Exploring DeepSeq Models

• DeepSeq models include:
  • 7b, 1.5b, 8b, 14b ("b" stands for billion parameters).
  • Higher models (e.g., 675b) require significant space (400 GB).
  • Choose models based on available space (recommend starting with 1.5b).

Running DeepSeq Locally

• After setting up Ollama, open command prompt.
• Copy and paste the command:
  ollama run deepseek -r 1::1.5b
  • Adjust the command for different model sizes.
• Benefits of running locally:
  • Ability to communicate with generative AI without an internet connection.

Testing DeepSeq

• Verify installation by typing a message (e.g., "Hi DeepSeek").
• DeepSeq responds with assistance prompts.
• Example request: "I wish to learn neural networks".
  • Response includes detailed learning steps and sample code.

Conclusion

• Tutorial on how to run DeepSeq locally has been completed.
• Viewers encouraged to ask questions or seek assistance in the comments.
• Reminder to explore certification programs for career advancement in AI and related fields.