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humanloop.com | ||
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blog.context.ai
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| | | | | Large Language Models are incredibly impressive, and the number of products with LLM-based features is growing exponentially But the excitement of launching an LLM product is often followed by important questions: how well is it working? Are my changes improving it? What follows are usually rudimentary, home-grown evaluations (or evals) | |
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www.jamesserra.com
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| | | | | [AI summary] This technical blog post explains the concepts behind LLMs and Generative AI, details their architecture, and guides developers on using Azure and Microsoft Copilot Studio to apply these models to enterprise data via RAG techniques. | |
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www.vladsiv.com
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| | | | | In this blog post, I'm sharing my experience taking the Databricks Generative AI Associate exam - from study notes to resources that made a difference. Whether you're just starting your prep or looking for extra insights, this guide will help you find the right resources to get prepared. | |
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trishagee.com
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| | | Trisha explores what a Build Scan is, and how it can help you troubleshoot Maven and Gradle builds. | ||
