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Common Statistical LLM Evaluation Metrics and what they Mean

In one of our earlier articles, we touched on statistical metrics and how they can be used in evaluation - we also briefly discussed precision, recall, and F1-score in our article on benchmarking. Today, we’ll go into more detail on how to apply these metrics more directly, and more complex metrics…
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How Good is Good Enough: Subjective Testing and Manual LLM Evaluation

In our previous article, we talked about the highest level of testing and evaluation for LLM models, and went into detail about some of the most commonly used benchmarks for validating LLM performance at a high level. Today, we’re going to look a at some more fine-grained evaluation metrics that…

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How To Build Beautiful, Responsive UIs in Minutes With Bolt

Welcome! This is part 5 of our course on how to build fullstack apps with Bolt and Supabase If you’re just joining, I highly recommend you take the course in the correct order before diving into this one. Here you can find Part 1, Part 2, Part 3, and Part 4.
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MCP Explained: Taking Your AI Agents to New Heights

If you’re into AI agent development, you’ve probably started hearing more and more about a new emerging protocol – Model Context Protocol (MCP). In essence, this protocol simplifies how AI agents connect to the data and tools they need. By standardizing these connections, MCP reduces the extra work…
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Inside AI Agents: Core Principles and How They Remember

As AI continues to evolve, we’re constantly finding new ways how to improve and to use it. Today, AI has gone much further being just a chat tool. And one of these significant evolutionary steps is the creation and adoption of AI agents. With agents, you can deploy AI solutions that autonomously…
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