In this Issue:

1. An introduction to our series about reasoning in LLMs.

2. Meta AI’s CICERO paper that was able to master the game of Diplomacy.

3. An overview of the LLM Reasoners framework.

💡 ML Concept of the Day: A New Series About Reasoning in LLMs

When we think about the areas of research that can unlock the new wave of innovation in LLMs, reasoning is consistently in the top 3. Long considered one of those unsolvable problems in AI, reasoning has rapidly become one of the hottest areas of research in LLMs. Today, we are already seeing models that are exhibiting different reasoning capabilities and, if solved, this area can power a new generation of LLMs. Today, we start a new series to venture into the nascent world of reasoning in LLMs covering some of the cutting edge and emerging frameworks in the space.  

Reasoning is one of the core building blocks and marvels of human cognition. Conceptually, reasoning refers to the ability of models to work through a problem in a logical and systematic way to arrive to a conclusion. Obviously, reasoning assumes neither the steps nor the solutions are included as part of the training dataset...