LLM are on the rise. Everyone is trying to find new ways to build apps with them. Its easy to get started with simple API connections with OpenAI but its get complex when we want more freedom and custom data integratability. There are common challenges like performance, reliable consistent results, hillucination, model grounding and more. Commonly known as LLMOps are the practices to mitigate these and other challenges associated with LLM’s. This talk is a complete playbook on that. With an interactive Miro board slides we will go from 0 to hero so that you can deploy LLM apps confidently.
Key Takeaways -
- Challenges with conventional LLM app development
- Mitigating these risks and challenges
- Understanding RAG
- Understanding LLMOps
- How to Build?
- Best practices
- Other tools and technologies