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Tag: Machine Learning

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16 posts with this tag

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Could LLMs be conscious or sentient?

In June 2022, a story hit international news that a Google engineer believed that one of their large language models had achieved sentience. Blake Lemoine was testing Google's conversational LLM LaMDA (the model that went on to power the original …

Posted on July 13, 2024 • 11 minutes read Read on
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Can LLMs use language at a human-like level?

Over the past two years, since the initial release of ChatGPT in November 2022, we've been in a hype cycle around large language models, or LLMs. Due to the very human "feeling" of LLM outputs, a lot of people have been convinced that these models …

Posted on June 29, 2024 • 16 minutes read Read on
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Optimising the Minkowski distance, part 3: removing redundant calculations

In our previous blog post we discussed how to implement the Minkowski distance formula in a couple of functions which relied heavily on for loops. On our full data, this lead to a processing time of over an hour. With some simple tricks in NumPy …

Posted on July 6, 2022 • 8 minutes read Read on
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Optimising the Minkowski distance, part 2: broadcasting

In the last blog post, we managed to shave a bit of time off our calculation of the Minkowski distance by using vector subtraction. Instead of calculating the difference between each pair of vectors elementwise using a loop, we were able to take …

Posted on June 29, 2022 • 9 minutes read Read on
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Optimising the Minkowski distance, part 1: vector subtraction

In the last blog post, we discussed how to calculate the Manhattan and Euclidean distances from first principles. However, in that post, we did a very manual implementation for a single pair of vectors, which would not generalise well to more than …

Posted on June 14, 2022 • 8 minutes read Read on
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