Machine Learning

Unleash the lion. — Summarizing text is one of the many tasks ChatGPT is extremely good at. Give it a piece of content and ask for a summary. You will be surprised how quickly it responds with a well-written summary. But do not just ask for a summary. By customizing your prompt, you can…

Improve workflows and expectation management in ML through technical drawings — Machine Learning (ML) projects are becoming increasingly popular in business as organizations strive to gain a competitive advantage or increased market value by utilizing AI. However, unlike traditional software development or analytical projects, scheduling machine learning projects can be more challenging since the success of a project is hardly known…

In this article, you will learn about rewriting decision trees using a Differentiable Programming approach, as proposed by the NODE paper, enabling the reformulation of this model in a manner similar to Neural Networks. Deriving this formulation is an excellent exercise, as it raises many issues common when building and…

Fine-tuning models with billions of parameters is now possible on consumer hardware — Most large language models (LLM) are too big to be fine-tuned on consumer hardware. For instance, to fine-tune a 65 billion parameters model we need more than 780 Gb of GPU memory. This is equivalent to ten A100 80 Gb GPUs. In other words, you would need cloud computing to…

Best Practices, Techniques, and Tools to Fully Understand Your Data — Introduction Exploratory Data Analysis (EDA) is the single most important task to conduct at the beginning of every data science project. In essence, it involves thoroughly examining and characterizing your data in order to find its underlying characteristics, possible anomalies, and hidden patterns and relationships. This understanding of your data is…

With disruption and uncertainty skyrocketing around AI, are we getting left behind? This blog is an antidote to the non-stop news and blues about AI, talking about valuable human factors that AI can’t touch. We look at where AI doesn’t stand a chance, talk about why intelligence is overrated and…

A comprehensive practical guide. — Merging enables combination of data from different sources into a unified structure. It’s an essential operation when working with tabular data because it’s not possible or feasible to store all data in a single data table or DataFrame. Understanding how to effectively merge DataFrames in Pandas is a crucial skill…

Hello there! This is my very first post and what made me write this title is the essence of running in the race too fast without knowing the fundamentals or concepts. Keep things simple and see the miracle. My name is Keyur Joshi, having keen interest in product and business…

Large model models (LLMS) have progressively grown powerful and competently. These models can be used for a wide array of applications, such as text generation, language translation, and providing answers to queries. What is Langchain? In my previous article, I made an introduction to Langchain and its inner workings. If you check my…