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...
Here’s a layman-friendly example of representing a word as a 2D vector (just two numbers) — even though real embeddings are often 384, 768, or 1536 dimensions. 🔤 Let’s take the word: “king” We...
Let’s take the stream pipeline: List<String> result = names.stream() .filter(name -> name.length() > 3) .map(String::toUpperCase) .limit(2) .collect(Collectors.toList()); and write it using a classic for loop — then compare readability, performance, and flexibility. 🔁 Equivalent...
Understand how limit() short-circuits and how a stream pipeline executes lazily and element-by-element. 🔄 Example Code List<String> names = Arrays.asList(“Alice”, “Bob”, “Charlie”, “David”, “Eve”);List<String> result = names.stream() .filter(name -> { System.out.println(“Filtering: ” + name);...