從零開始 Python × Ollama 實戰教學:打造企業本地LLM應用程式

Master Generative AI: A Comprehensive LLM Implementation Guide

Unlock the power of Generative AI with our in-depth Large Language Model (LLM) Implementation course! This hands-on online program is designed for beginners to advanced learners eager to build and deploy cutting-edge AI applications. Quickly master the core technologies behind Generative AI and gain practical skills in LLM development.

What You'll Learn:

• LLM Setup & Foundations: Quickly build your own LLM system with Python and Ollama (3 steps!).
• Text-to-Speech & Visual AI: Bring your AI to life with realistic text-to-speech and create image understanding AI chatbots using LLaVA.
• Retrieval-Augmented Generation (RAG): Boost LLM accuracy and eliminate "hallucinations" with RAG techniques. Learn knowledge base construction and reranking for superior results.
• Model Fine-tuning & Customization: Deep dive into fine-tuning Llama3 and integrating with Ollama. Address model reliability and customize responses. Explore Mistral V3 fine-tuning with practical examples.
• Efficient Data Processing: Process various file types (PDF, DOCX, PPTX) with text extraction and voice-to-text capabilities. Achieve ultra-fast voice and image-to-text conversion.
• Advanced Applications & Agent Development: Utilize Firecrawl for data scraping and content analysis. Build powerful AI agents and Text2SQL tools with SmolAgents (just 5 lines of code!).
• Real-World Use Cases: Explore practical applications like SQL instruction execution, sentiment analysis, summarization, and market intelligence.
• Enterprise-Grade AI Platforms: Deploy LLMs with OpenWebUI and Ollama. Build custom chat platforms and leverage powerful models like DeepSeek R1 for enhanced security.
• AI Agent Development: Learn to build sophisticated AI agents with SmolAgents and Google ADK, integrating with various tools and APIs.

Course Highlights:

• Enterprise-Focused Implementation: Learn from real-world scenarios and rapidly deploy AI solutions.
• Local Deployment & Enhanced Security: Build AI systems that don't rely on the cloud, improving data security.
• Modular & Flexible Design: Independent course units allow you to tailor your learning path.
• Multi-Format Processing: Handle documents, images, audio, and perform summarization and sentiment analysis.
• Integration with Latest Models: Explore DeepSeek, Mistral, LLaVA, SmolAgents, and more.

Who is this course for?

• Beginners looking to quickly grasp Generative AI and LLM technologies.
• Tech enthusiasts seeking to leverage AI for increased productivity.
• Data Analysts aiming to enhance their workflows with AI.
• Product Managers & Entrepreneurs developing local knowledge bases or intelligent query systems.
• Engineers & Advanced Learners interested in model fine-tuning and AI innovation.
• Professionals in various fields needing to process multimedia files and automate tasks.

Course Content Breakdown:

I. Local LLM Quick Start: Ollama Implementation

• 1. Introduction to Local LLMs: Install Ollama and build your first chatbot.
• 1. Text-to-Speech Applications: Build an AI assistant with voice output.
• 1. Visual Understanding AI: Create an image-understanding chatbot using LLaVA.

II. Enhancing Knowledge Applications: RAG, LLM, & Rerank

• 1. Zero Hallucination Query Systems: Build a local knowledge base with the latest RAG technology.
• 1. Precise Generation Quality Improvement: Combine RAG and reranking techniques to optimize responses.

III. Enterprise Practical Applications: Accelerate AI Deployment

• 1. Enterprise Document Assistant: Build a PDF Chatbot (with Llama3 & RAG).
• 1. Universal Document Support: Chatbot supporting TXT, DOCX, and PPTX formats.
• 1. Audio AI Accelerator: Convert audio files to text in 1 hour, in 2 minutes.
• 1. Image Recognition Powerhouse: Automate image-to-text