On 2024 trends
by Lalit Ahuja. Generative AI “The massive adoption of freely available LLMs and the use of ChatGPT will quickly give way to enterprises enforcing their own constraints on the use of such technology, as...
Category: Expert Articles
How will the GenAI/LLM database market evolve in 2024. Q&A with Madhukar Kumar
Q1. What were in your opinion the main trends for the database in 2023? At the end of 2022 and the beginning of 2023, I noticed several interesting trends happening in the database ecosystem....
On Vector Databases and Gen AI. Q&A with Frank Liu
Q1. From a database perspective, what are the main challenges that Generative AI (GenAI) poses? The biggest challenge that Gen AI poses is scale. We have so many sources of data – data used...
On Retrieval Augmented Generation. Q&A with Neil Kanungo
Q1. What is Retrieval Augmented Generation (RAG)? Retrieval Augmented Generation (RAG) is a method that combines the capabilities of generative models, like LLMs, with information retrieval techniques. In a RAG system, when presented with...
On Vector Databases. Q&A with Frank Liu
Q1. Vector embeddings are becoming increasingly popular in natural language processing (NLP), computer vision, and other artificial intelligence (AI) applications. Why? Vector embeddings are the words and phrases that computers use to communicate. Unlike...
On Vector Embeddings. Q&A with Neil Kanungo
Q1. Despite their impressive capabilities, computers cannot easily understand text, images, audio, or other human-readable data formats. Why? Computers inherently operate on binary data, and their processing capabilities are rooted in numerical and logical...
AI in Stochastic Environments
Navigating under uncertainty: Adapting AI techniques to stochastic setting By Pranesh Srinivasan Abstract: Stochastic environments, with their unpredictable nature, might seem like a daunting problem. However, with techniques like problem decomposition, preventing overfitting, joint...
On Large Language Models and Architectures. Q&A with Neil Kanungo
Q1. What is Large Language Model Architecture? Large Language Model Architecture refers to the design and structure of models that specialize in understanding and generating text. The most prevalent architecture is Transformer-Based, which employs...
Q&A with the MySQL Community Team
by Heather VanCura Today, we are joined by two members of the MySQL Community Team, Frédéric Descamps (AKA lefred) and Scott Stroz. Q: Can you tell us a little about your background? Fred: I’ve worked in...
On Data Fabric and Data Mesh. Q&A with Jeffrey Fried
“It’s fairly common that organizations are using a data fabric pattern without calling it by that name. For example, Health Information Exchanges (HIEs) use the data fabric pattern, but they were conceived before the...