LLMs: RAG vs. Fine-Tuning
When should you use retrieval augmented generation (RAG)? When should you fine-tune? Find out when and why and how to incorporate knowledge into LLMs.
Dr. Phil Winder
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17 minArticles in this topic
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Dr. Phil Winder
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17 min
The Problem of Big Data in Small Context Windows (Part 2)
Phil explains how to further optimize LLM context windows. Part 2 summarizes the key strategies you can use to improve your use of the context window.
Dr. Phil Winder
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17 min
The Problem of Big Data in Small Context Windows (Part 1)
Dr. Phil Winder explores challenges of squeezing big data into LLMs' small context windows. Part 1 introduces the problem and the series.
Dr. Phil Winder
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12 min
ChatGPT from Scratch: How to Train an Enterprise AI Assistant
A video presentation that delves into the architecture, training methodologies, data pipeline construction, and optimization techniques required for creating a state-of-the-art enterprise assistant.
Dr. Phil Winder
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14 min
Fine-tune a Quantized Large Language Model on a Single GPU (Falcon-7B)
Example Python code that to train and fine-tune a quantized large language model on your custom data on a single GPU.
Dr. Phil Winder
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9 min
Announcing Stable Audio: A Generative AI Music Service
Winder.AI and Stability AI released Stable Audio, a groundbreaking generative AI service that allows you to generate high-quality music from a text prompt.
Dr. Phil Winder
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4 minNewsletter
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Case studies and industry analysis from our team. No hype, roughly monthly.