• GenAI Guide on Data Preparation Part 2: Data Collection

    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…

  • GenAI Guide on Data Preparation Part 1: Introduction

    GenAI Guide on Data Preparation Part 1: Introduction

    In our previous Generative AI series we talked a lot about how fine tuning works along with different approaches to fine tuning (by way of introduction). However before we even get to this step we need to decide on what data we are going to fine tune our foundational model…

  • My post-DTW take on the future of compute

    My post-DTW take on the future of compute

    For me, tech conferences, such as Dell Technologies World (DTW), are places where lots of conversations happen, creating a turmoil of thoughts. This post is the result of such turmoil. It comes from the confluence of 3 different ideas and concepts and is my take on where I see compute…

  • Why Dell for AI Inferencing

    Why Dell for AI Inferencing

    Are you ready to take your AI inferencing to the next level? Look no further than Dell Technologies! Let’s dive into the three reasons why Dell is your ultimate partner for unleashing the power of AI inferencing. 1) End-to-End Validated Solutions Dell offers comprehensive end-to-end AI solutions that cover the…

  • PowerEdge SoundBytes Ep 15: CXL, aka the Foundation of Disaggregated Compute

    PowerEdge SoundBytes Ep 15: CXL, aka the Foundation of Disaggregated Compute

    Despite being a fairly nascent technology, CXL has the potential to severely disrupt the computer industry as it will allow to break down some of the traditional paradigm in compute, in particular the tight coupling between processor and memory. In this video, I met with Amnon Izhar, the lead strategist…

  • Unlocking the Power of Conversations A Guide to Crafting Effective Prompts for Large Language Models like ChatGPT

    In the realm of conversational AI, the key to engaging and meaningful interactions lies in the art of crafting effective prompts.

  • GVU (GEOS Video Update) Episode 2 – VxRail, VCF on VxRail and APEX updates

    Welcome to the 2nd episode of the GVU (GEOS Video Update).  In this episode Curtis Edwards and Ben Mayer bring you the latest updates to VxRail and VCF on VxRail.  We discuss VxRail 8.0.100 and VCF 5.0 on VxRail 8.0.100.  Also discussed are the recent updates to APEX as well…

  • Generative AI 101 Part 5: Dell and NVIDIA Solution Architecture

    Dell and NVIDIA have been collaborating for years to develop innovative solutions for artificial intelligence (AI) computing. They have now created a full-stack solution that allows enterprises to generate and deploy AI models at scale. This joint project builds on their previous work and further strengthens their leadership in the…

  • Generative AI 101 Part 4: Inferencing (Running your LLM)

    In the previous parts of this series, we have discussed various aspects of generative AI and language model training, including transformer-based models, LLM training, reinforcement learning, and pre-trained model fine-tuning. In this final part, we will delve into the broader topics of general AI training and inference. What is inferencing?…

  • Generative AI 101 Part 3: Pre-Trained Model Fine Tuning

    How does Fine Tuning work, what methods are available ? Firstly, pre-trained language models have been a game changer in natural language processing (NLP) and have made it possible to achieve state-of-the-art results on a variety of language tasks with limited resources. However, pre-trained models may not always perform optimally…