LLMs: RAG vs. Fine-Tuning

Published
Author
Dr. Phil Winder
CEO

Interest in the use of large language models (LLMs) has ballooned in our recent AI consulting projects because they are applicable to a wide variety of AI problems. Our LLM consulting services help organizations determine the best approach for leveraging proprietary data. But most use cases require the use of proprietary data. What’s the best way of leveraging private or local data in LLMs?

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The Problem of Big Data in Small Context Windows (Part 2)

Published
Author
Dr. Phil Winder
CEO

An introduction to the challenge of fitting big data into the context windows of LLMs. In this second installment, discover the key strategies involved to improve your use of the context window. Subsequent articles will provide more examples.

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ChatGPT from Scratch: How to Train an Enterprise AI Assistant

Published
Author
Dr. Phil Winder
CEO

This is a video of a presentation investigating how large language models are built and how to use them, inspired by our large language model consulting work. First presented at GOTO Copenhagen in 2023, the video investigates the history, the technology, and the use of large language models. The demo at the end is borderline cringe, but it’s a fun and demonstrates how you would fine-tune a language model on your proprietary data.

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