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Cristian Leo

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The Math behind Adam Optimizer

Why is Adam the most popular optimizer in Deep Learning? Let’s understand it by diving into its math, and recreating the algorithm.

Jan 30, 2024

The Math behind Adam Optimizer

Jan 30, 2024

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The Math Behind Neural Networks

Dive into Neural Networks, the backbone of modern AI, understand its mathematics, implement it from scratch, and explore its applications

Mar 29, 2024

The Math Behind Neural Networks

Mar 29, 2024

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The Math Behind Fine-Tuning Deep Neural Networks

Dive into the techniques to fine-tune Neural Networks, understand their mathematics, build them from scratch, and explore their…

Apr 3, 2024

The Math Behind Fine-Tuning Deep Neural Networks

Apr 3, 2024

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The Math Behind Transformers

Deep Dive into the Transformer Architecture, the key element of LLMs. Let’s explore its math, and build it from scratch in Python.

Jul 25, 2024

The Math Behind Transformers

Jul 25, 2024

How Brain-Inspired AI is Revolutionizing Complex Reasoning

This brain-inspired model solves puzzles that stump today’s top LLMs, hinting at a new path toward AGI.

Aug 5

How Brain-Inspired AI is Revolutionizing Complex Reasoning

Aug 5

Google’s Titans: The Math Behind AI Memory That Extends Beyond the Context Window

Dive deep into how Titans’ novel long-term memory module learns to remember, overcoming Transformer limitations for truly long sequences

May 8

Google’s Titans: The Math Behind AI Memory That Extends Beyond the Context Window

May 8

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What are Model Context Protocols (MCPs) and Should you use them?

AI is growing up — and MCPs might be the common language it needs to talk to tools, orchestrate tasks, and work smarter across platforms.

Apr 7

What are Model Context Protocols (MCPs) and Should you use them?

Apr 7

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Stepping into the Future of 3D Vision with VGGT

How Transformers Are Redefining 3D Reconstruction — Faster, Smarter, and Geometry-Free

Apr 3

Stepping into the Future of 3D Vision with VGGT

Apr 3

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How Qubits Are Rewriting the Rules of Computation

From Classical Certainty to Quantum Possibility: Exploring the Science, Math, and Magic Behind the Future of Computing

Mar 24

How Qubits Are Rewriting the Rules of Computation

Mar 24

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Can We Really Trust Human Feedback?

Exploring the Limits and Potential of Reinforcement Learning from Human Feedback (RLHF) and the Challenge of Strategyproofness

Mar 17

Can We Really Trust Human Feedback?

Mar 17

Cristian Leo

Cristian Leo

Data Scientist @ Amazon with a passion about recreating all the popular machine learning algorithm from scratch.

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