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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Unlocking AI Potential with Retrieval Augmented Generation and Vector Databases
Today, let’s dive into fascinating AI infrastructure: Retrieval Augmented Generation (RAG) and Vector Databases. You’ve probably heard varied opinions on whether RAG is obsolete, but let’s uncover its relevance and how it can still bring vital context to our sophisticated AI models. Based on content from Eli the Computer Guy RAG, or Retrieval Augmented Generation, […]
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Is RAG Still Needed? Choosing the Best Approach for LLMs
Imagine stepping into a time machine and setting it to go back—only to realize that it’s stuck and can’t rev back up to the current moment. That’s somewhat analogous to the capabilities and limitations of Large Language Models (LLMs) in the ever-evolving landscape of AI. LLMs like GPT-3 or BERT are revolutionary, no doubt, but […]
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What is the Fastest way to become an AI Engineer in 2026?
Imagine you’re a mechanic in a world where the guidelines for building engines keep changing overnight. Metaphorically, that’s what it feels like sometimes in the field of AI engineering—a field that’s not just growing but evolving at a breakneck pace. Today, let’s unpack what it really takes to not just enter this dynamic domain but […]
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Beginner Friendly Step-by-Step Example of RAG
Imagine your large language model (LLM) is like a vast library brimming with books containing general knowledge about almost everything. Now, suppose you run a specialized store—maybe a boutique with exclusive fashion items or a tech shop with unique gadgets. Customers pop in with questions specific to what you offer. While your LLM is a […]
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What is Multimodal RAG? Unlocking LLMs with Vector Databases
Imagine you’re a wizard tinkering away in a grand library, surrounded by documents, diagrams, and artifacts, each telling a unique story with different sensory languages. Text stitches the narrative, images give it color, and sounds add rhythm. Your challenge? To swiftly pull the right information together in response to a query. The magic spell you […]
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How to deploy and run a RAG Chatbot with vLLM
In the ever-evolving field of artificial intelligence, the need for integrating external knowledge into AI systems is not just beneficial—it’s essential. This necessity becomes particularly patent when dealing with large language models (LLMs) tasked with generating reliable and contextually accurate information. Consider, for example, an advanced chatbot; we’d want it to pull not just from […]
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Google Changed RAG Forever with NEW Gemini File Search Tool
Imagine you’re a magician, not the kind that pulls rabbits out of hats, but one who conjures up digital creations from the ether of code and data. Until recently, this type of enchantment, especially when it involved wrangling massive amounts of personal or localized data into usable AI applications, seemed more like alchemy than science. […]
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Retrieval-Augmented Generation (RAG): How It Boosts LLM Accuracy, Privacy & Cost-Efficiency
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Frank
- September 29, 2025
- AI Accuracy
- ai applications
- ai chatbots
- AI Cost Reduction
- AI for customer service
- ai hallucinations
- AI in Healthcare
- AI knowledge updates
- AI security
- AI Superpowers
- artificial intelligence
- DATA PRIVACY
- data privacy in AI
- Generative AI
- large language models
- LLM
- LLM enhancement
- LLM retrieval
- RAG
- real time knowledge
- retrieval augmented generation
- Semantic Search
- vector database
Traditional large language models (LLMs) like GPT-3, as brilliant as they are, have a fundamental limitation—they are trained on a dataset that, while extensive, has a cut-off date. This means any new information after this date is simply non-existent in their world. It’s akin to trying to navigate today’s roads with a map from five […]
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How Does RAG Work?
Imagine you’re working on a complex jigsaw puzzle, focusing intensely on finding just the right piece that snaps perfectly into place. Now, imagine that every piece represents a piece of information and your final image is a clear, understandable answer to a question. This is quite similar to how the innovative AI method, Retrieval Augmented […]
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