Category: GPTs
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Comparison of LLMs: Lies, Damned Lies, and Benchmarks 1/6
Introduction In the ever-expanding universe of Large Language Models (LLMs), one might be forgiven for feeling a bit like Alice tumbling down the rabbit hole. With each passing day, a new model emerges, boasting capabilities that would make Turing himself raise an eyebrow. But as we navigate this wonderland of artificial intelligence, we find ourselves…
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Comparison of LLMs: Lies, Damned Lies, and Benchmarks 2/6
Benchmarking Methods: What’s Being Measured? Ah, benchmarks. The bread and butter of the LLM comparison world. These are the yardsticks by which we measure our artificial wordsmiths, the gauntlets through which they must pass to prove their mettle. But what exactly are these tests measuring? Let’s dive in and see if we can make sense…
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Comparison of LLMs: Lies, Damned Lies, and Benchmarks 3/6
Areas of Application: Where the Rubber Meets the Road Now that we’ve waded through the murky waters of benchmarks, let’s roll up our sleeves and dive into where these language models are actually being put to use. After all, the proof of the pudding is in the eating, or in this case, the proof of…
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Comparison of LLMs: Lies, Damned Lies, and Benchmarks 4/6
The Good, the Bad, and the Misleading: Analyzing Benchmark Results Now that we’ve explored the benchmarks and real-world applications, it’s time to don our detective hats and dive into the murky world of benchmark result analysis. Prepare yourselves for a journey through the land of statistical sleight of hand, where numbers dance and charts tell…
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Comparison of LLMs: Lies, Damned Lies, and Benchmarks 5/6
Beyond the Numbers: Real-World Performance and Limitations Now that we’ve navigated the treacherous waters of benchmark analysis, it’s time to step back and look at the bigger picture. After all, in the real world, language models don’t live and die by their ability to ace standardized tests. So, let’s roll up our sleeves and dive…