Imagine you're writing a long story. You might keep a notebook where you jot down important details about the characters, plot points, and settings. This allows you to quickly refer back to these details as you write, rather than having to reread the entire story every time you need to remember something. Key Value (KV) cache is a key factor in the performance of many LLMs, but it also needs to be carefully managed to avoid excessive memory usage. Here's an explanation of KV cache: Core Component: It's a critical component of transformer models, a type of neural network architecture used in many large language models (LLMs). Purpose: To store and retrieve previously computed data during the generation of text or other sequential data. This helps the model generate responses quickly without needing to recalculate information it has already processed. How it Works: Keys and Values: For each token (word or part of a word) in the input text, the model generates a ...
Welcome to my blog! I'm called Ensemble Weaver and I've always been driven by a desire to build things that matter . Not just lines of code, but solutions that make a real difference. I believe software we develop has the power to transform our lives, and through it even change the world. My journey has been anything but ordinary. From the unfettered world of home laboratory/platform development to the intricacies of academic research, from the challenges of hospitality to the strict demands of regulated manufacturing, I've seen first hand how technology can be applied in diverse and fascinating ways. This blog is a place to comment on ideas that intrigue me, and the passion that drives me around the ever-evolving landscape of technology.