My Journey into Prompt Engineering When I first began exploring language models, I assumed it was as simple as posing a question and waiting for an answer. To my surprise, the initial results were hit or miss. Sometimes I would get insightful responses, while other times the model seemed to completely miss the mark. Understanding … Read more
What is Multiprocessing? Multiprocessing in Python is a means to achieve parallelism, allowing for concurrent execution of processes. It’s a method to exploit multiple processors on a machine, thus making the best use of available CPU cores. Python’s multiprocessing module facilitates this by spawning multiple processes, bypassing the limitations of the Global Interpreter Lock (GIL) … Read more
What is ASGI? ASGI, which stands for Asynchronous Server Gateway Interface, is a specification between web servers and Python web applications or frameworks. It acts as an evolution of WSGI (Web Server Gateway Interface) and is designed to support asynchronous features like WebSockets and HTTP/2. This asynchronous nature allows for improved performance and concurrency. ASGI … Read more
Introduction to Bayesian Method The Bayesian approach is a probabilistic method of statistical inference, contrasting with the frequentist approach. At its core, Bayesian thinking involves updating the probability estimate for a hypothesis as more evidence or data becomes available. It combines prior beliefs (prior probabilities) with observed data (likelihood) to get posterior probabilities. Bayesian Inference … Read more
What is a Feature Store? At its core, a feature store is a systematized repository specifically tailored for machine learning (ML) features. Features, which are derived or raw data attributes, play a crucial role in the ML model training process. A feature store centralizes the management, storage, and retrieval of these features, ensuring they’re consistently … Read more
Introduction to FastAPI for ML FastAPI is a modern, high-performance web framework written in Python. Its compatibility with Python’s type hints, asynchronous operations, and built-in validation makes it a popular choice for serving machine learning (ML) models. Why Choose FastAPI for ML Serving? FastAPI provides a rapid development environment, ensuring: Key Optimization Techniques Asynchronous Endpoints … Read more
Introduction to Prompts At the heart of many advanced AI models, particularly language models, lies the concept of prompts. In this context, a prompt is an input query or statement that is provided to the model, guiding it to produce a desired output. For instance, when you ask an AI chatbot a question, that question … Read more
