Aditya Chatterjee's Blog

The book "Artificial Intelligence: AI Engineer's Cheatsheet: Silicon edition" is the only book you need to master AI and ML concepts to become a ML Engineer or ML Researcher.

Get your copy at: AI ENGINEER SILICON CHEATSHEET

The book will give you the real research and engineering knowledge you lack. No AI will replace you if you have this skill. For theoretical knowledge, search algorithms were enough.

This book covers all major topics that you must understand to build a practical deep understan...

When players spin the reels of an online pokie or place a bet at a digital blackjack table, they expect one thing above all else: fairness. That sense of trust is made possible by Random Number Generators (RNGs), the unseen engines running behind every legitimate online casino game. These algorithms are responsible for ensuring that each spin, card draw, or dice roll is unpredictable and independent from the last. Without RNGs, the credibility of the entire online gambling industry would collaps...

In the ever-evolving world of decentralized technologies, understanding the core infrastructure behind blockchain systems is essential. Among the most critical components of any blockchain network are nodes. While frequently mentioned, nodes are often misunderstood. This article provides a technical overview of blockchain nodes, demystifying their role, types, and operational significance within a distributed ledger environment.

What Are Blockchain Nodes?

At its simplest, a node is any device—ty...

Llama is an open-source pre-trained LLM released by Meta which can be used to run ChatGPT like prompts locally on CPU or GPU. Llama comes in different sizes like 1B parameters, 8B, 70B and 405B. The capability of the LLM increases with the number of parameters. This is preferred to OpenAI API because using Llama locally gives more native support.

The 8B variant of LLM performs reasonably well and can ask moderate level questions and write simple code as well. This is something 1B variant cannot...

The book "C++: Coding Cheatsheet: GOAT edition" is the only book you need to master C++ programming concepts. The focus is on practical programming skills, design concepts and performance engineering ideas.

GOAT = "Greatest Optimizations, Abstractions and Techniques"

Read C++ Coding Cheatsheet: GOAT edition here for free

This book include:

Chapters covering all core concepts in C++ programming, code design and optimization including:OOP concepts, Inheritance, Composition, Singleton pattern...

The book "Deep Learning: DL1943 Cheatsheet: DL/AI/ML Research, Engineering, Optimization & System Design" is the only book you need to master Deep Learning (DL) concepts.

Get your copy of DL1943 Cheatsheet

This book include:

Chapters covering all core concepts in DL research, engineering and optimization including:Basic concepts like Perceptron, Gradient DescentAll basic terms like epoch, topK and basic ops like MaxPoolCore techniques like INT8 QuantizationDeep Learning System Design (wit...

Introduction

In a previous article, we introduced the concept of cyber-physical systems (CPS). Moving further in our journey into CPS, agent is a term we will be encountering quite a lot. So let's get that off our plate first. Simply put, an agent is an autonomous entity that navigates through a given environment.

In the context of CPS, we can think of an agent as an entity that interacts with the environment in a manner defined by its hybrid automaton. Consider the bouncing ball example we disc...

Table of ContentsIntroductionGo's Concurrency ModelGoroutinesChannelsCommunication TypesBuffered vs. Unbuffered ChannelsA Nice Concurrency ProblemIntroduction

Rob Pike, one of the creators of the Go programming language, is often attributed with the following quote:

Concurrency is about dealing with lots of things at once. Parallelism is about doing lots of things at once.

Simplest real life example to this could arguably be multi-tasking. When we multi-task, we are basically s...

PyTorch is one of the most popular Deep Learning (DL) libraries today, thanks to its flexibility and ease of use. However, the extensive range of its features can sometimes lead to confusion, especially when two functions appear to have overlapping purposes. This is the case with torch.Tensor.max and torch.max, two methods that allow users to find maximum values in tensors. So, why does PyTorch provide two different ways for a similar operation? This article aims to clarify their differences, ex...

Introduction

Put in simple terms, a cyber-physical system (CPS), as the name suggests, is a dynamical system that exhibits both discrete (cyber) and continuous (physical) dynamic behavior. Due to their distinct mixed discrete-continuous dynamics, they are also known as hybrid systems.

We model such systems using mathematical structures aptly named hybrid automata. Let us now look into these structures to get a deeper understanding of what a CPS is.

What exactly is a hybrid automaton?

Consider as...