Category Archives: LLM

The Rise of Small Language Models (SLMs)

Specialized small language models (SLMs) can outperform large, generalist models. Want to learn how? Read Armand Ruiz’s post on LinkedIn: “Inference is cheaper. Iteration is faster. Fine-tuning takes hours, not weeks. SLMs can run locally, privately, and securely and no … Continue reading

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Anthropic Copyright Ruling May Spur More AI Licensing Deals

The first federal court decision on the fairness of taking copyrighted material to train generative artificial intelligence is a mixed outcome for tech companies and content creators that could prompt both parties to seek coexistence, according to attorneys, with the … Continue reading

Posted in Legal, LLM | 1 Comment

LLMs in the Research Space

An interesting discussion started on LinkedIn by Prof. Arvind Narayanan: “AI is already accelerating scientific production… Producing papers, for the most part, is a game researchers must play for status and career progress. Its value is relative. It’s like thinking … Continue reading

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Pavlov’s dog and LLM

Martin Milani posted: “Human intelligence created language to express thoughts—but language itself does not create the thoughts it expresses. Perceptual learning (as seen in neural networks and LLMs) represents a lower-order form of intelligence, rooted in simple pattern recognition, correlation, … Continue reading

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Warren Powell about DeepSeek

Warren Powell just posted “The emergence of DeepSeek“: How could the Chinese do this so quickly? Because the technology is not that hard… I am not minimizing what OpenAI and the other LLM developers have created, but the core technology … Continue reading

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Creating a Simple Knowledge Graph (and a Pizza) with AI

Kurt Cagle just shared his experience of using an LLM tool for building a knowledge graph. He asked DeepSeek to “Generate a list of all of the object types that may be relevant to running a pizza shop” and after … Continue reading

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Turning insurance contracts into code

Sam Burrett posted today: Insurance policies are a nightmare for most consumers. It’s hard to know what’s covered and what isn’t. Could AI help? The Stanford CodeX team tested GPT4o’s ability to turn an insurance policy into code, which could … Continue reading

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Decision Optimization and Generative AI

There are two new articles devoted to this topic: “Optimization and Generative AI” by Alex Fleischer “LLM-ify me – Optimization edition” by Richard Oberdieck

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Could/should authors of LLM’s training data be compensated?

Deepak Menta started this discussion on LinkedIn: “Data is the raw material for Generative AI and Machine Learning. So why isn’t it treated like one in other industries?” “Imagine a future where all we humans do is feed data to … Continue reading

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Understanding LLMs from Scratch

This article attempts to explain how Large Language Models (LLMs) work, “from scratch — assuming only that you know how to add and multiply two numbers. The article is meant to be fully self-contained. We start by building a simple … Continue reading

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