The Evolving Role of Fine-Tuning in AI: Navigating LLMs, RAG, and LoRA
In the dynamic world of artificial intelligence, the question is posed: Is fine-tuning large language models (LLMs) still essential in contemporary AI workflows? Martin Keen, an AI expert, delves into this inquiry and compares fine-tuning to RAG (retrieval augmented generation), LoRA (low-rank adaptation), and other generative AI techniques. Through Keen’s exploration, we understand when it […]
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This New AI Model Thinks Without Language (w/ Eve Bodnia of Logical Intelligence)
In AI development, there’s a constant buzz about language models like GPT and BERT, which dominate conversations and headlines. But not all AI needs to be language-based. This was a central theme in a recent discussion with Eve Bodnia, a physicist turned AI innovator, whose work is steering us towards a fundamentally different type of […]
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How Does This Google Tool Turns Messy Text Into Clean Data
Have you ever found yourself wrestling with the Herculean task of converting unruly, unstructured data from emails, PDFs, or transcripts into a well-organized format? Like many, you might think the crux of the problem lies in the development of the application itself, but let’s dive deeper – it’s really about tackling the chaotic nature of […]
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AI & Text to SQL: How LLMs & Schema Power Data Analytics
Imagine the power of conversing with your data as easily as you chat with a friend over coffee. You pose a question, and instead of sifting through spreadsheets or wrestling with SQL queries, an intelligence baked into your database effortlessly returns the answers. This isn’t a glimpse into a distant sci-fi future; it’s the promise […]
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How to Go From Vibe Coding To Vibe Engineering
Have you ever looked at the trajectory of front-end development and felt like you were watching a series from the middle episode? You know enough not to be entirely lost, but there are still moments when you think, “How did we get here?” That kind of feeling is precisely what drives conversations like the one […]
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How to Build effective AI agents with Model Context Protocol
Imagine a world where every tool and service you use daily—whether it’s Slack for chatting with your team, GitHub for managing your projects, or even Kubernetes for running your applications—can seamlessly interact with AI. That’s not just a pipe dream; it’s quickly becoming a reality thanks to the advancements in AI integration through technologies like […]
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Everything You Know About AI Is (Probably) Wrong
It’s easy to get caught up in the buzz surrounding AI, especially with the rapid advancements in large language models (LLMs) like GPT. But as I delved into a recent video by Jako Vanelo, a director and machine learning engineer at Moody’s, I was reminded of the broader landscape and the common misconceptions that often […]
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How to Turn Text Into a Knowledge Graph with 70B LLM on DGX Spark
Since getting the DGX Spark last week, I’ve been working my way through each of the playbooks. One of them uses a local LLM (Large Language Model), specifically the Lama 3.17 billion parameter model, was employed to tackle just this challenge. The goal was straightforward but ambitious: to transform biomedical research papers from static text […]
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Does This Mean We’re in an AI Bubble? Nvidia’s $500 Billion Gamble
At first glance, NVIDIA’s decision to sink an astonishing $500 billion into AI factories seems like a story ripped straight from Silicon Valley’s boldest playbook. That’s half a trillion dollars funneled into a venture immensely grander than their current operations—it’s a gamble that makes you wonder what they see on the horizon that we don’t. […]
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3 things to know about Red Hat AI 3
-
Frank
- October 14, 2025
- Agentic AI
- AI
- AI control
- AI costs
- ai governance
- AI innovation
- AI paradox
- AI platform
- AI scalability
- artificial intelligence
- cost management in AI
- Efficient model inferencing
- Enterprise AI
- GenAI
- Generative AI
- GPU as a service
- Hybrid Cloud
- Hybrid Cloud AI
- IT operations
- large language models
- LLM
- Machine Learning
- MLOps
- Model as a service
- model inferencing
- open source AI
- OpenShift AI
- operational efficiency in AI
- Red Hat
- red hat ai
- Red Hat AI 3
- Red Hat AI3
- scaling AI
- Sherard Griffin
Imagine you’re driving an old pickup truck, reliable but a bit worn, down the scenic route of innovation. Up ahead, the road splits—one path winds along the safe, familiar flatlands of traditional IT, and the other, a challenging mountainous trail marked “Artificial Intelligence.” You want to take that adventurous AI path, don’t you? But looking […]
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