Vector embeddings convert real-world content, like documents and images, into 1-D numericalrepresentations (arrays).These arrays have N values, representing N dimensions. They are called vectors and can becompared with each other efficiently.These vectors aren’t random...
In the rapidly evolving world of AI and large language models (LLMs), most people associate cutting-edge capabilities with cloud-based giants like OpenAI, Anthropic, and Google. However, a new tool called Ollama is shifting this...
In a modern AI-assisted development environment, the Model Context Protocol (MCP) facilitates interaction between tools like Cursor VSCode and a backend server written in ColdFusion. Let’s walk through how an MCP client initializes communication,...
GraalVM is a powerful runtime that enables you to run code written in multiple languages—like JavaScript, Python, and Ruby—side by side within the same Java application. This blog shows how to perform polyglot programming...
Here’s a practical example of a Java dynamic proxy used to log method calls on a real object — a common pattern in frameworks like Spring AOP. 🎯 Scenario You have a service: public...
🧠 1. What is Escape Analysis? Escape Analysis asks a simple question: ❓ Does this object “escape” the method? (i.e., is it used outside the current method?) 🧪 Example: No Escape public int compute()...
let’s now look at how Graal JIT’s optimizations are better than the traditional HotSpot C2 JIT, and why it matters in real-world performance. 🧠 Background 🔥 Graal JIT vs C2 JIT: What Graal Does...
JIT compilation takes time JVM goal: Fast startup + optimize only when needed. Most code is cold Studies (including JVM benchmarks) show that 90%+ of methods are cold in many real-world applications. Compiling everything...
At runtime, for the same class, the JVM can execute some methods as machine code and others as bytecode. 🧠 How it works: The JVM (including GraalVM) treats each method independently: 💡 So yes...
Let’s break down how a model like BERT or OpenAI produces different embeddings for the word “bank” in different contexts. 🎯 The Goal: We want: 🧠 Step-by-Step: How Different Embeddings Are Calculated 1. Tokenization...