Ollama & DeepSeek reasoning model masterclass.

Format:

Video

Contributor:

Dichone, Paulo, instructor.

Packt Publishing, publisher.

Language:

English

Subjects (All):

Natural language processing (Computer science).

Artificial intelligence.

Deep learning (Machine learning).

Python (Computer program language).

Physical Description:

1 online resource (1 video file (1 hr., 44 min.)) : sound, color.

Edition:

[First edition].

Place of Publication:

[Birmingham, United Kingdom] : Packt Publishing, [2025]

Summary:

Begin your journey into private AI development by preparing your local environment and understanding the full scope of what you'll build. The course starts with an introduction to DeepSeek R1 and Ollama, outlining prerequisites and setting up the development stack. You'll gain a solid grasp of the course structure, learning objectives, and the tools you'll need to run large language models on your own hardware. Next, you'll dive into the core of DeepSeek R1, exploring its architecture, model variations, and the key distinctions between open and closed-source LLMs. Through guided installations, you'll set up LM Studio and Ollama, download the R1 distilled model, and interact with it via a local chat interface. Practical hands-on sessions walk you through using the Ollama API to embed DeepSeek directly into custom applications. In the final phase, you'll build three end-to-end AI projects: a document analyzer, a code assistant, and a multi-agent system. Each use case is presented with a functional demo followed by a complete code walkthrough. By course completion, you'll be able to design, deploy, and iterate intelligent, offline applications that prioritize privacy, performance, and full local control.

Notes:

OCLC-licensed vendor bibliographic record.

ISBN:

1-80611-775-4

OCLC:

1521194231