Viewing profile — reexpressionist

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This type of behavior (and related) would primarily only be an issue with unconstrained generative models. If you're the one deploying the model, or a downstream consumer, once tra…

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I believe we have two rather different settings in mind. My statement assumes the enterprise use-case, where having a verifier is required. (In this context, I'm also assuming the …

The alternative approach is to start with a small[er] model, but derive reliable uncertainty estimates, only moving to a larger model if necessary (i.e., if the probability of the …

If the end goal is document classification and/or semantic search, the Reexpress Fast I model (3.2 billion parameters) is a good choice. The key is that it produces reliable uncert…

TL;DR: Reexpress makes it really easy (and inexpensive) to fine-tune a large language model (LLM) for typical document classification tasks. All of the processing happens on your M…

We've been working to make uncertainty quantification and interpretability first-class properties of LLMs. Reexpress one, a macOS app, is our first effort to make these properties …

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Important essay and points. I want to mention that there exist now practical technical approaches that can be used to create trustworthy AI...and such approaches can be run on loca…

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Ditto. This is the most sophisticated viz of parameters I've seen...and it's also an interactive, step-through tutorial!

"As with most software development, modern AI work is all about knowing your tools and when it's appropriate to use them." 100% agree. Ditto with just using the easiest to access m…

I like the analogy to a router and local Mixture of Experts; that's basically how I see things going, as well. (Also, agreed that Huggingface has really gone far in making it possi…

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