Category: AI/ML
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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…
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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…
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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.
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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…
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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?…
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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…
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Generative AI 101 Part 2: How are LLM’s Trained
How are LLM’s Trained ? Whether to train your own language model or use a pre-trained one depends on your specific use case and resources. Key Concepts: Learning and Training Firstly, you need to do both…. “Learning” refers to the process of figuring out how the input variables are related…
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Generative AI 101 Part 1: Key Concepts
Let’s cover some key concepts of Generative AI: Natural language processing (NLP) is a branch of artificial intelligence that deals with the interaction between computers and human languages. LLM stands for large language model, which is a type of neural network that can learn from large amounts of text data and…
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Announcing Dell Technologies Generative AI Solutions
Dell Technologies has announced a joint initiative with NVIDIA to bring generative AI to enterprise customers. The Dell Validated Design for Generative AI is a full-stack solution that enables enterprises to create and run custom AI models built with the knowledge of their business. We’ll get to the specifics of…
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PowerEdge SoundBytes Episode 15: XE Portfolio
Check out the new line of PowerEdge XE servers with Senior Engineering Technologists Bertrand and Nomuka Learn more about the PowerEdge XE portfolio and get support: https://www.dell.com/en-us/dt/servers… Explore Dell’s server cooling technologies Read Bertrand’s blogs on cooling: https://atomic-temporary-153746626.wpcomstaging.com… Find spec sheets, brochures, and more: https://www.dell.com/en-us/dt/servers… What’s happening with Nomuka in…
All things Unstructured Data 