Month: September 2024

Do you know Linear Algebra well enough? Linear algebra is a bedrock for all data science and machine learning tasks. It is the language that transforms theoretical models into practical…

Lessons from 100+ data science projects with new startups to Fortune 50 companies Dalle 2 Do you find that data science and ML projects often lack structure and organization? Have…

This example demonstrates how to use OpenCV for table data detection and extraction. We’ll be analyzing some example outputs generated by the following code. The Colab link for this code…

OpenCV OpenCV(Open Source Computer Vision Library) is an open source, platform independent library for image processing and computer vision. OpenCV can be used with Python, C++, Java. It was developed by…

Photo by Xu Haiwei on Unsplash This blog is a result of my experiments with Semantic Kernel SDK (from Microsoft) in creating AI Agents using Python programming and Open Source Generative AI models…

In this article, we delve into a comparative analysis of diverse strategies for developing applications empowered by Large Language Models (LLMs), encompassing OpenAI’s Assistant API, frameworks like LangChain, Semantic Kernel,…

In the ever-evolving landscape of Artificial Intelligence (AI), the development and deployment of Large Language Models (LLMs) have become pivotal in shaping intelligent applications across various domains. However, realizing this…

From zero to ChatGPT Thanks to Large Language Models (or LLMs for short), Artificial Intelligence has now caught the attention of pretty much everyone. ChatGPT, possibly the most famous LLM,…

A pragmatic guide to implementing guardrails, covering both Guardrails AI and NVIDIA’s NeMo Guardrails As the use of large language model (LLM) applications enters the mainstream and expands into larger…

The failure of ReAct agents gives way to a new generation of agents — and possibilities My thanks to John Gilhuly for his contributions to this piece If 2023 was…