Docker containers can effectively allow access to the GPU, particularly through the use of the NVIDIA Container Toolkit, which enables Docker to communicate with NVIDIA GPUs. This setup is essential for workloads such as AI/ML, deep learning, and data processing that require GPU acceleration to enhance performance. To enable GPU acceleration, your machine needs a Read More …
Category: Notes
Sometimes I have to quick learn things. This is those collection of notes.
What are LISP worlds?
Lisp (programming language) is a family of programming languages that originated in the 1950s, known for its unique syntax and strong support for symbolic computation and artificial intelligence, with dialects like Common Lisp and Scheme still used today. [1, 2, 3] Here’s a more detailed look at Lisp: Key Features and Concepts: [1, 4] Symbolic Computation: Lisp excels at manipulating symbols Read More …
parallel file system
A parallel file system is a specialized storage system designed to deliver extremely high performance for applications that need to access large amounts of data concurrently from multiple computing nodes. Unlike traditional file systems that route all data through a single server, a parallel file system distributes data across numerous storage servers and disks, allowing Read More …
Machine Learning – Journey Through the Mind of the Machine
The dream of creating artificial intelligence, of imbuing machines with the capacity to think and learn, is a long-standing one, stretching back centuries in philosophical thought and fictional tales. However, the formal history of Artificial Intelligence (AI) as a scientific discipline began in the mid-20th century, fueled by advancements in computing and a group of Read More …
Random Forests in Artificial Intelligence
Random Forests are an ensemble learning method widely used in artificial intelligence (AI) for classification and regression tasks. This technique builds upon the concept of decision trees, combining the predictions of multiple trees to enhance accuracy and robustness. By leveraging the strengths of individual decision trees while mitigating their weaknesses, Random Forests have become a Read More …
Integrating Docker into a CI/CD Pipeline
A typical Dockerized CI/CD pipeline, often orchestrated by tools like Jenkins, GitLab CI/CD, GitHub Actions, or Azure DevOps, follows these stages: Code Commit and Trigger: The process begins when a developer commits code to a version control system (VCS) like Git. This commit, particularly to a designated branch triggers the CI/CD pipeline automatically via a web Read More …
Docker for IT Professionals
Docker containers has moved beyond a buzzword to become a cornerstone of modern infrastructure and software deployment. At its core, Docker addresses long-standing challenges in application portability, dependency management, and environmental consistency, offering a totally new way to approach to how we build, ship, and run software. Historically, the phrase “it works on my machine” Read More …
Decision Trees in Artificial Intelligence
Decision trees are a popular and intuitive method used in artificial intelligence (AI) for classification and regression tasks. They represent a model in the form of a tree-like structure, where each internal node corresponds to a decision based on an input feature, each branch represents the outcome of that decision, and each leaf node signifies Read More …
Generative AI
While “Generative AI” isn’t an acronym, it’s a fundamental concept in the field. Think of it like this: traditional AI often focuses on analyzing existing data – identifying patterns, classifying information, or making predictions based on what it has already seen. Generative AI, on the other hand, goes a step further; it learns the underlying Read More …
Linear Regression in Artificial Intelligence
Linear regression is a fundamental statistical method used in artificial intelligence (AI) and machine learning for modeling the relationship between a dependent variable and one or more independent variables. It is particularly useful for predictive analytics, where the goal is to forecast outcomes based on input data. At its core, linear regression aims to find the Read More …