Transformers and Reasoning
Transformers have the potential to achieve deep deductive reasoning with complete accuracy, yet the current learning algorithms, such as backpropagation, fall short. The challenge lies in discovering the right training methods to unlock the full capabilities of these models, particularly in program synthesis and domain-specific language generation. There’s a promising frontier ahead as researchers seek to refine the outer loop around transformers for enhanced reasoning.In this clip
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Zapier’s Mike Knoop launches ARC Prize to Jumpstart New Ideas for AGI | Training Data
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