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blog.rfox.eu | ||
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robr.dev
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| | | | | Three things from this week. I tried out three different ways to use an LLM on my home PC this week. A Large Language Model (LLM) is the kind of ML model that runs inside of ChatGPT and other similar popular chatbots. Running on my home PC lets me see just what they can do and whether they're useful to me. While there have been a whole lot of different models emerging lately, there are also a few different frontends or user interfaces that can load the model and perform inferences. | |
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www.cleverthinkingsoftware.com
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| | | | | We're Not in a Bubble-We're at the Brink of Revolution Every day I read another hot take claiming we're in an AI bubble. These writers argue that Large Language Models cannot possibly lead to Artificial General Intelligence. And while they've got a point about the limitations of current systems, they'recatastrophically wrongabout the bubble. We're not [...] | |
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gigasquid.github.io
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| | | | | [AI summary] The article demonstrates how to integrate Hugging Face's GPT-2 library into Clojure using the libpython-clj tool to generate text. | |
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www.unite.ai
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| | | Some machine learning models belong to either the generative or discriminative model categories. Yet what is the difference between these two categories of models? What does it mean for a model to be discriminative or generative? The short answer is that generative models are those that include the distribution of the data set, returning a [] | ||
