Category: AI/ML
-
Llama 2 on XE9680
Co-Authored by Damian Erangey and Fabricio Bronzati NVIDIA’s LLM Playground, part of the NeMo framework is an innovative platform for experimenting with and deploying large language models (LLMs) for various enterprise applications. It’s currently in a private, early access stage and offers the following features: Fabricio Bronzati from Dell’s integrated…
-
Vector DB vs Graph DB: why and what are the differences?
Retrieval Augmented Generation, or RAG, is, as of December 2023, probably the hottest topic around GenAI. In fact, along with David O’Dell, we recorded a couple of videos talking about RAG, its purpose and its components. At the heart of RAG is an Information Store, which can be queried to…
-
TTM Ep3: How to Choose the Right Generative AI Use Cases for Your Needs
Get the answers to the following key questions from AI Experts Navin Mukraj and Sirmitchell Sorells on how to choose the right GenAI use cases based your needs: 1. How to pick the best use cases for your needs & how can DELL help? 2. How can companies of all…
-
PowerEdge SoundBytes Ep 17: Components of RAG and RAG Demo
In the first video on RAG, David O’Dell and I cover a quick intro to RAG, aka Retrieval Augmented Generation, why RAG was needed and what RAG is. In this second video, we do a deep dive into the various components of RAG and then David walks me through a…
-
PowerEdge SoundBytes Ep 16: Why RAG and what it is?
RAG, aka Retrieval Augmented Generation, is probably one of the most popular topic around GenAI. On October 20th, 2023, David O’Dell posted a great blog on Dell Infohub about RAG and how to use internal custom datasets to augment an LLM with domain or organization specific knowledge. Because of the…
-
GenAI Use Cases: The Top 5 GenAI Inferencing Use Cases with Dell
GenAI Use Cases: The Top 5 GenAI Inferencing Use Cases with Dell Thanks to computing and other innovations in computing solutions like PowerEdge servers, use cases for Generative AI (GenAI) continue to expand and has the potential to revolutionize the way businesses approach problem-solving and automation. But how do we…
-
Tech Talk Ep2: Dell Validated Design for Generative AI Inferencing with NVIDIA (Interview & Demo)
Join Nomuka and Fabricio, a Senior Principal Systems Development Engineer at Dell, to learn about the world of Generative AI Inferencing and Dell’s Validated Design for Generative AI Inferencing with NVIDIA! Get answers to the following key questions: What is inferencing and why is it essential in the field…
-
Dell’s Validated Design for Generative AI Inferencing: An Exploration In Sizing
The world of artificial intelligence (AI) is undergoing rapid transformation, with Large Language Models (LLMs) at the forefront of this evolution. Ensuring the efficient deployment and operation of these models is paramount. In July (’23) Dell released what will be the first in a series of Validated Design Guides for…
-
Bringing AI to Your Data: The Power of Domain-Specific Language Models
Authored By Navin Mukraj, Advisory Solutions Principal Nomuka Luehr, Senior Engineering Technologist Bringing AI to Your Data: The Power of Domain-Specific Language Models Welcome to today’s digital age, where data is the lifeblood of innovation. In this thrilling era, the phrase “We bring AI to your data” is more than…
-
GenAI Guide on Data Preparation Part 2: Data Collection
Collecting Data from Different Sources As mentioned in our previous blog, gathering data to refine extensive language models typically includes the collection of both structured and unstructured data. Structured data pertains to well-organized information that can be easily searched within relational databases, such as SQL. On the other hand, unstructured…
All things Unstructured Data 