Using memory with LLM applications in production
This talk will review how you can use Metal to give your LLM chatbots both short and long-term memory.
When you implement memory for LLM chatbots, they can recall user interactions and learn from them over time. But getting this to work in production can be challenging. In this session, we'll review how you can use Metal to give your LLM chatbots both short and long-term memory, allowing them to support more complex queries and powerful retrieval augmentation in production.
Speaker:
Sergio Prada is the co-founder and CTO at Metal. Prior to joining Metal, Sergio worked in machine learning at Meta, developer tools and engineering at Datadog, and has spent +10 years in enterprise software.
