Train Fast, But Think Slow
We have had radical technological advancements in recent history. Social media, augmented reality, platform shifts like web, mobile. But AI is way more significant of a technology. It is as significant as the discovery of fire. It has the potential to change the trajectory of the evolution of our species.
One of the holy grails of unlocking this potential of AI is to build systems that can reason like humans. By improving AI's, Large Language Models in particular, ability to break down complex problems and apply logical steps.
Bagel's research team has been exploring this problem. Analyzing LLM building techniques, especially fine-tuning techniques, to allow Large Language Models to evolve from pattern-recognizing prediction agents to true cognitive agents. Our deep research spanned three major types of reasoning, aka intelligence: arithmetic, commonsense, and symbolic.
Today, we're sharing our findings. This research targets the core of what we believe to be the ultimate AI evolution, human-level reasoning. Or beyond (God level?).
