GOTO Book Club: How to Leverage Reinforcement Learning


In this episode of GOTO’s book club I speak to Rebecca Nugent, Feinberg professor of statistics and data science at Carnegie Mellon univeristy. We talk, at length, about the application of reinforcment learning, specifically how it could be a way of creating truly personalised teaching curricula. It’s a really interesting discussion and it’s great to get someone of Rebecca’s calibre to bounce ideas off.

More articles

LLM Architecture: RAG Implementation and Design Patterns

Discover the most common LLM architectures for retrieval augmented generation. Including pros and cons and how to choose the best RAG architecture.

Read more

Exploring Small Language Models

Learn about efficient Small Language Models (SLMs) as cost-effective, resource-saving alternative to Large Language Models (LLMs) for AI applications.

Read more
}