ML
Machine learning notes across foundations, computer vision, transformers, optimization, and more.
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Machine learning notes across foundations, computer vision, transformers, optimization, and more.
Browse ML notes →Quantum computing notes across qubits, gates, algorithms, and practical intuition.
Browse QC notes →Complex numbers, and more generally higher-dimensional numbers like quaternions and octonions, are fascinating mathematical constructs that help us describe and understand multidimensional spaces and phenomena.
Open note →Fine-tuning Flan-T5-XXL on AWS SageMaker can be quite expensive due to the model’s size and computational requirements. The cost depends on several factors, including: Instance Type: You’ll likely need a...
Open note →In quantum mechanics, an observable is a physical quantity that can be measured—such as position, momentum, or energy. Mathematically, an observable is represented by a Hermitian (self-adjoint) operator acting on...
Open note →An eigenstate is a state that satisfies the equation
Open note →A Hilbert space is a complete vector space equipped with an inner product. It provides the mathematical setting for quantum mechanics, where states, observables, and dynamics are all formulated. Let’s...
Open note →The Born rule is a foundational principle in quantum mechanics that connects the abstract mathematical description of a quantum state with the probabilities of observable outcomes. Here’s a detailed explanation:...
Open note →In quantum mechanics, a qubit is not simply a bit that is either 0 or 1. Instead, it exists in a superposition of both states. Its state is typically written...
Open note →1. The Role of Euler’s Formula in Representing Complex Numbers
Open note →Let’s break it down:
Open note →The state of a qubit is much more than a simple bit—it’s a quantum state that can exist as a superposition of two basis states. Geometrically, we represent a pure...
Open note →In quantum computing, unitary transformations are indispensable because they ensure that the fundamental postulates of quantum mechanics—especially the preservation of probability—remain valid during the evolution of quantum states. Let’s explore...
Open note →Let’s break down quantum interference in a way that connects the math to physical intuition. In quantum mechanics, rather than directly adding probabilities (as in classical systems), we add complex...
Open note →prompt - can you please explain below excerpt in details in the context of attention, encoder-decoder architechture, "To understand the flow in more details,let us consider the French translation example...
Open note →Encoder: The encoder processes the input sequence (e.g., a sentence) one timestep at a time. At each timestep, it produces a hidden state (hidden variable) that captures information about the...
Open note →Grover’s algorithm gives a quadratic speedup for unstructured search.
Open note →Let’s take a detailed journey into Neural Radiance Fields (NeRF)—both at the conceptual and mathematical level. NeRF was introduced as a way to represent a 3D scene continuously using a...
Open note →Residual blocks
Open note →Let’s dive deep into Score Distillation Sampling (SDS), a key technique introduced (for example, in DreamFusion) to distill the rich, text-conditioned knowledge of a pre-trained diffusion model into another model—in...
Open note →