
Demystifying AI for Business Leaders: Current Trends and Challenges Part 1
Everyone and their mother has something to say about AI these days. Whether you’re trying to garner media attention by signing a moratorium or making AI music videos, the entire world is focused on grappling with this horrifically powerful and sometimes down right silly and fun technology. Individuals and organizations both are looking towards

How do I Save Data for ChatGPT?
How do I Save Data for ChatGPT?
To save data for use with ChatGPT or other language models, you typically follow a multi-step process involving raw data collection, storage, and vectorization/embedding.
What is Vectorization?
Vectorization is a fundamental process in modern AI and NLP systems. It involves converting text data, which is inherently unstructured and challenging for machines to understand, into numerical vectors or arrays of numbers.
Experience: Lessons from the 2023 AI Craze
As we integrate more AI assistants and chatbots into our workflows in 2024, one of the most valuable lessons I’ve learned from working closely with conversational systems like ChatGPT is that we need to approach them as collaborative, generative processes rather than expecting perfectly formulated final outputs right away. The

LangChain Tutorial: A Step-by-Step Python Crash Course
Langchain is a framework that allows you to create an application powered by a language model, in this langChain Tutorial Crash you will learn how to create an application powered by Large Language Models (LLMs) and we will cover all the essential features of this framework. GitHub repo Official Docs
What is Text Embedding?
Text embedding, also known as vectorization, is a technique that converts textual data into numerical vector representations. Each word, phrase, or document is mapped to a unique vector, where similar texts have similar embeddings in the high-dimensional vector space. The key idea is that these numerical embeddings capture the semantic relationships and contexts of the original text, allowing artificial intelligence models to effectively process and reason about language data.