Technology, AI & ERP — explained in plain English
Artificial Intelligence (AI) refers to the development of computer systems that can perform tasks that would normally require human intelligence, such as visual perception, speech recognition, decision-making, and language translation. AI technology is rapidly advancing and changing the way we live, work, and interact with the world around us.
In this comprehensive guide to AI, we delve into the latest developments and best practices for harnessing the power of AI technology. From understanding the basics of machine learning and deep learning, to exploring the ethics and governance of AI, we cover all the essential topics for success in the field of AI. With our expert insights and practical tips, you’ll learn how to make the most of AI and stay ahead of the curve in this rapidly evolving field.
Odoo 20 turns your database into an MCP server, so external AI assistants like Claude Code or Codex can read — and, with permission, modify — your data under your own users’ access rights. This guide covers OAuth and API-key connections, the read-only default tool set, and how revocation works.
A single score cannot tell you whether a RAG system failed at retrieval, grounding, or relevance. This article explains faithfulness, answer relevancy, context precision, and context recall in RAGAS and the RAG triad, and how to read them together to fix the stage that actually failed.
Every large language model starts the same way: predicting the next token, billions of times. This explainer covers teacher forcing, causal masking, cross-entropy loss and perplexity — the mechanics of the pre-training loop, in plain language.
Backpropagation is the engine that trains neural networks — and it’s just the chain rule applied carefully. This article walks a tiny network through a full forward and backward pass with real numbers, so you can see exactly how each weight moves and the loss falls.
An intuitive tour of diffusion models, the engine behind modern AI image generation: forward noise schedules, why networks predict noise instead of pixels, classifier-free guidance, and the latent-space trick that made Stable Diffusion fast.
How quantization shrinks giant language models to fit on small GPUs: the affine mapping from floats to integers, why outlier activations break naive rounding, and how GPTQ and AWQ spend bits where they matter most.
Fine-tuning rewrites a model’s weights; RAG hands it documents at query time. A practical decision framework covering facts versus behaviour, freshness, cost, and failure modes, plus when to use both together.
How vector databases turn text into searchable geometry: embeddings, cosine similarity, approximate nearest-neighbour indexes like HNSW, and the full retrieval-augmented generation pipeline that gives LLMs a working memory.
An intuitive deep dive into the self-attention mechanism behind every modern LLM: the query/key/value lookup, why the formula divides by the square root of the key dimension, and what multiple attention heads actually learn.
Artificial Intelligence (AI) has taken the world by storm, and with its increasing popularity, there has been a growing demand for individuals with knowledge and understanding of this field. Python, as a language, has become an indispensable tool in the AI community, providing a user-friendly platform for developers to create powerful applications. In this article, … Read more
Fraud detection is a crucial aspect of any financial institution. Fraudsters are constantly finding new ways to manipulate the system, and it’s crucial to have a system in place that can detect such activities. In this tutorial, we will build a simple fraud detection system using anomaly detection. Step 1: Importing the necessary libraries We … Read more
Image classification is a supervised learning problem where given an image, the system is supposed to classify it into predefined categories. In this tutorial, we will be building a convolutional neural network (CNN) for image classification using TensorFlow and Keras. Step 1: Import the necessary libraries In this step, we will import TensorFlow, Keras, and … Read more
Artificial Intelligence (AI) has emerged as a game-changing technology with profound implications for defense and warfare. As the world becomes increasingly interconnected and complex, nations seek innovative ways to bolster their security and military capabilities. AI presents unprecedented opportunities to enhance decision-making processes, optimize resource allocation, and revolutionize combat operations. In this blog post, we … Read more
Creating a lottery prediction AI system would require a combination of various programming languages and technologies, and would depend on the specific details of the task and the data available. It is important to note that lottery numbers are generated randomly, so the predictions made by the AI model are not guaranteed to be accurate … Read more
AI: the modern superhero of technology, swooping in to empower people with disabilities and bring a touch of magic to their lives. In this blog, we embark on an exciting journey through the realm of AI, exploring its incredible uses in empowering individuals with disabilities. So fasten your seatbelts and get ready to witness the … Read more
In this era of technological marvels, where our toasters can play “Baby Shark” on demand and our vacuum cleaners have more processing power than NASA’s computers from the ’60s, it’s no surprise that Artificial Intelligence (AI) has also found its way into the realm of gaming. So grab your controllers and prepare to have your … Read more