This repository provides a hands-on workshop for learning about Large Language Models (LLMs), targeting developers and researchers interested in practical LLM application development. It aims to demystify LLMs and enable users to build and deploy their own LLM-powered applications.

How It Works

The workshop guides users through building a question-answering system using an LLM. It covers essential concepts like prompt engineering, model selection, and integrating LLMs into applications, likely leveraging popular LLM libraries and frameworks. The approach focuses on practical implementation rather than deep theoretical dives.

Quick Start & Requirements

• Primary install / run command: Not specified in the README.
• Non-default prerequisites and dependencies: Python 3.x, potentially specific LLM libraries (e.g., Hugging Face Transformers, LangChain), and access to LLM APIs or local models.
• Estimated setup time or resource footprint: Not specified.
• Links: No official quick-start or demo links are provided in the README.

Highlighted Details

• Focus on practical application development.
• Covers prompt engineering techniques.
• Demonstrates LLM integration into systems.

Maintenance & Community

• No information on contributors, sponsorships, or community channels is present in the README.

Licensing & Compatibility

• License: Not specified in the README.
• Compatibility: Unknown due to missing license information.

Limitations & Caveats

The README lacks crucial details regarding setup, dependencies, licensing, and community support, making it difficult to assess the project's readiness for adoption or its long-term viability.