Category «AI»

From Design Patterns to Designing Intelligence

How Agentic AI is Transforming Software Architecture into Cognitive Architecture Traditional design patterns organise the structure of software, whereas agentic design patterns organise the structure of cognition, enabling systems not merely to execute instructions, but to reason, plan, collaborate, learn, and act with increasing autonomy. my repo- https://github.com/vivekreeves/agentic-design-patterns-lab Traditional software frameworks are primarily designed to …

The Third Database Era: SQL, NoSQL, and the Rise of Vector SearchVector databases

For decades, databases were designed around a single assumption: if we could structure the world precisely enough, we could understand it. This belief gave rise to SQL databases—rigid schemas, exact matches, and transactional certainty. They assumed reality could be cleanly categorized and that truth could be expressed as a row satisfying a condition. For a …

From Personal Computers to Artificial Intelligence: A Quarter-Century of Transformation

From the vantage point of the early 1990s, the personal computer seemed the very summit of human ingenuity, an instrument that placed unprecedented power upon the individual’s desk. The subsequent decades bore witness to a steady march of abstractions: the frameworks of Java and .NET civilised programming into disciplined languages; the rise of the cloud …

Starter Kit: Build Your Own LLM – TensorFlow

Building your own LLM can be a transformative step in research, product innovation, or domain-specific automation. Depending on your goals, computational resources, and available data, there are two primary paths you can take: Choose Your Track First Goal Track Description 🔧 Full control, academic/research Build from Scratch You define architecture, tokenizer, train from raw text …

Beyond Accuracy: Evaluating the Performance of Generative AI Models

In the rapidly evolving landscape of artificial intelligence, evaluating the performance of generative models has become both essential and complex. Unlike traditional machine learning models that can be assessed using clear-cut accuracy metrics, generative AI outputs are open-ended—ranging from text and images to music and code—making evaluation a multidimensional task. Whether you’re building a chatbot, …

Unlocking LLM Potential: Key Approaches to Customization

Different Approaches to Train or Fine-Tune a Large Language Model (LLM) Large Language Models (LLMs) such as GPTs are powerful tools that can perform a wide variety of natural language processing (NLP) tasks. However, the true power of LLMs lies in their ability to be customized for specific use cases. There are several approaches to …