3min chapter

Machine Learning Street Talk (MLST) cover image

#85 Dr. Petar Veličković (Deepmind) - Categories, Graphs, Reasoning [NEURIPS22 UNPLUGGED]

Machine Learning Street Talk (MLST)

CHAPTER

How to Converge Algorithmic Reasoning With G and N's

i would really like these approaches to be reconciled going forward in the sense that uh like i don't see them as going one without the other if that makes sense so on one side and i'm gonna invoke the same principles i mentioned during our during our mlst episode you know daniel conman's book system one and system two right i think you cannot have one without the others. These kinds of specifically tailored prompts might enable the model to take things a step or two further but it's always like it's kind of in in spirit it's the same thing as algorithmic reasoning because we teach a model to execute an algorithm by forcing it to imitate the algorithm step-by-step here

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