Creating Dynamic Prompts with Jinja2 for LLM Queries
When you're dealing with Large Language Models (LLMs) like ChatGPT from OpenAI, dynamically generating prompts based on different use-cases becomes essential.
Harsh Singhal | DataScienceFM
Querying APIs with Python: A Brief Introduction for Aspiring AI Enthusiasts
Whether you're new to programming or just new to Python, this blog post will guide you through the basics needed to query APIs, with a focus on querying language models like OpenAI's ChatGPT.
Harnessing the Power of ChatGPT for Data Science Queries
Welcome back to datascience.fm, where we continuously bring the latest tools and techniques in the realm of data science to your fingertips. Today, we delve into the world of chatbots, specifically focusing on OpenAI's ChatGPT, a variant of the famous GPT-3 model tailored for conversational AI.
Unraveling the Magic of L1 & L2 Regularization
In the world of machine learning, we frequently find ourselves balancing on the tightrope of model complexity. Regularization, particularly L1 and L2, emerges as our safety net, allowing models to learn while being constrained.
Monte Carlo Simulation Across Industries: Real-Life Applications and Case Studies
The Monte Carlo Simulation (MCS) is not merely a fascinating blend of probability theory and computational prowess. Here, we delve into some intriguing real-life examples and case studies.
Bootstrap Statistics Across Industries: Real-Life Examples and Case Studies
Bootstrap statistics, a brainchild of Bradley Efron in the late 1970s, has emerged as a powerful tool for statistical inference, especially when analytical solutions are difficult or infeasible to derive.
Unraveling the Gini Coefficient: A Deep Dive for the Technical Mind
In the world of income inequality, metrics, and indices, there's one term that has certainly captured the limelight – the Gini Coefficient.
