「"Reinforcement learning is part science and part art form."」

「"The core win of Swin Transformer is making self-attention computation linear with respect to input size."」

「“It's not the AI model, it's the architecture that sits between the model and the data.”」

「"I trained my sign language detection model on a MacBook with no external GPUs, yet it runs real-time at several frames per second."」

「“When ten users share the same system, process it once, not ten times.”」

「"Perfection is the enemy of progress."」

「“Mythos is basically a zero-day vending machine.”」

「The reparameterization trick allows gradients to flow through a stochastic layer by reparameterizing the sampling as a deterministic function of the network outputs plus external noise.」

「**“Scaling the training data outweighs the inductive bias.”**」

「**Depthwise separable convolution is an efficient 2D convolution operation that significantly reduces the number of floating point operations and learnable parameters.**」

「“If the model can be trusted to ask itself for feedback, it becomes more resilient and adaptable.”」

「"Great things are not done by impulse, but by a series of small things brought together." — Vincent Van Gogh」

「**“Treats text and image as just tokens to GPT, blurring the line between modalities.”**」

「“Most of the time, you let competition do its work and find the winners. But sometimes, one tiny push makes the whole system healthier.”」

「"CLIP is a neural network that jointly trains an image encoder and a text encoder to map the respective modalities into the same embedding space."」

「"Reward hacking occurs when an RL agent exploits unintended loopholes in the reward structure."」

「“If a harmful prompt is detected, it can block it before it even gets to the agent.”」

「“Traces are the source of truth for agents, not code.”」

「“These types of AI are one trick ponies.”」

「"There is levels to this game."」

「"Attention is all you need."」

「“Student-teacher framework avoids model collapse by stabilizing training targets with slow teacher updates.”」

「*“Logits contain rich information about relative class preferences that is dark knowledge.”*」

「"This network is just a function, one that takes in 784 numbers as input and spits out 10 numbers as output."」