Building Blocks and Orchestration of LLM enabled Tasks: Ideas and Case Study with Python Instructor and Instruct Easy

🚀 Join us for an insightful Ubuntu TechHive meetup where we'll explore the building blocks and orchestration of LLM-enabled tasks using Python! This session is perfect for those looking to understand the integration of AI and automation in real-world applications.

🎯 Agenda:

• Introduction: Overview of LLM-enabled tasks and their significance.
• Case Study: Detailed case study using Python Instructor and Instruct Easy.
• Building Blocks: Learn about Python Domain Specific Languages (DSLs) and their similarities to Lego blocks.
• Automation and Orchestration: Discover techniques for data extraction, text generation, and information retrieval.
• Tech Stack: Dive into the tech stack including FastAPI app, ZeroMQ for work distribution, Server Sent Events (SSE), Docker, AWS, and Cloud Computing.

📍 Who Should Attend?

• Developers interested in AI and automation.
• Tech enthusiasts looking to expand their knowledge in Python and workflow orchestration.

👋 We look forward to seeing you there and exploring the fascinating world of LLM-enabled tasks together!