Build a Mamba SSM layer from scratch in NumPy. Learn selective state spaces, implement selective scan, and benchmark SSM vs attention scaling with runnable...
Build MHA, GQA, and MQA attention from scratch in NumPy. Calculate KV cache VRAM for Llama 3 70B, Mistral 7B, and any model with...
Build sinusoidal, RoPE, and ALiBi positional embeddings from scratch in NumPy. Runnable code, heatmaps, and a clear comparison of all three schemes.
Build transformer attention from scratch in NumPy with runnable code. Scaled dot-product, multi-head attention, causal masking, and heatmaps step by step.
tf.function is a decorator function provided by Tensorflow 2.0 that converts regular python code to a callable Tensorflow graph function, which is usually more...
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