Data breaches cost $4.88M on average — learn in this article how DLP content detection protects sensitive data with the help of AI, RegEx, OCR, and more.
This article explores how data-driven decision-making enhances digital advertising, focusing on predicting ad viewability rates using machine learning.
Testing DeepSeek-R1 with Ollama for code generation, math solving, creative writing, and Q&A. See how it performs across tasks and where it falls short.
Discover the pros and cons, types, applications, and lots more about two common machine learning algorithms: supervised learning and unsupervised learning.
Video annotation is the way in which machines are actually getting the ability to process visual data; this is what closes the gap between AI and real-world applications.
This tutorial demonstrates how to use the LangChain framework to connect with OpenAI and other LLMs, work with various chains, and build a basic chatbot with history.
By integrating post-processing validation, RAG, and customizable guardrails, developers can bridge the gap between prototyping and production in LLM applications.
I asked ChatGPT the question, ‘9.9 or 9.11, which is bigger?’ ChatGPT alone answered incorrectly, but with the help of Python, it provided the correct answer: 9.9.
Explainable AI (XAI) lifts the veil on machine learning in recruiting, showing why candidates get scored or rejected — like skills mismatches or low experience.
Learn how to create an AI assistant with LangChain4j in a Spring Boot application, which personalizes the application itself and has access to its actuators.
InfiniRetri retrieves information internally using LLM attention, while RAG retrieves it externally. The future may lie in hybrid approaches combining both strengths.
Learn about Infrastructure as Code (IaC) predictions for 2025, from AI-driven drift management to cost optimization, platform engineering, and multi-framework trends.
This is the second article in the “Lakehouse: What’s the Big Deal?” series, where I will periodically discuss Lakehouse. Your comments and discussions are welcome.