33What do the feed-forward (MLP) layers in a transformer do, and why are they most of the parameters?▼mediumGoogleOpenAINVIDIA1 replies◆ premiumAttention gets all the attention, but the feed-forward layers hold most of a transformer's weights and handle much of the per-token 'knowledge' work. What shows depth is knowing what the FFN computes and why it dominates the parameter count.Open full answer →
24Your agent has many tools but keeps picking the wrong one or passing wrong parameters. How do you fix it?▼mediumAnthropicOpenAIMicrosoft1 replies◆ premiumTool selection and parameter extraction are where agents quietly break. The strongest answer treats the tool spec as the only thing the model sees, then repairs the design, not the model. Here is how.Open full answer →
