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www.jamesserra.com
| | bdtechtalks.com
2.6 parsecs away

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| | Retrieval augmented generation (RAG) enables you to use custom documents with LLMs to improve their precision.
| | jannikreinhard.com
2.6 parsecs away

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| | In this blog post I want to deep dive with you how LLMs and CoPilots work, want to give an explanations into the most important aspects and show you some important architecture aspects and concepts. We will not build an own Copilot but I will share also some reference architectures and a tool I created...
| | blog.pamelafox.org
2.9 parsecs away

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| | Retrieval Augmented Generation (RAG) is a popular technique to get LLMs to provide answers that are grounded in a data source. What do you...
| | blog.scottlogic.com
8.5 parsecs away

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| Using an example project this article explores the possibilities of integrating a Large Language Model with custom logic to improve its utility and power.