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Alex Tyrrell says Wolters Kluwer has a print and textbook heritage and is a 189-year-old company.
“we were a print heritage and textbooks, and by the way, we were 189 year old company and there were no computers.”
Topic
17 facts from 1 episode, in date order. These are what speakers said on the shows, each linked to the moment it was said. They aren't independently verified.
Undated
Alex Tyrrell says Wolters Kluwer has a print and textbook heritage and is a 189-year-old company.
“we were a print heritage and textbooks, and by the way, we were 189 year old company and there were no computers.”
Undated
Alex Tyrrell distinguishes a plain LLM, which cannot send an email itself, from an agent, which can act, plan, reason and execute.
“It cannot send an email for you specifically, right? That gets you to agentic, right? Agents do things, a act, plan, reason, execute.”
Undated
Alex Tyrrell says handling a claim denial is part of a connected healthcare workflow where agents can play a role.
“If there's a, you know, a claim denial, that's actually a fairly connected workflow.”
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Alex Tyrrell says teams typically begin with a foundational frontier model and adapt it using methods such as fine-tuning, low-rank approximation, parameter-efficient fine-tuning and in-context learning.
“start with a foundational frontier model, but you're going to domain adapt it, either through ins instruction, fine tuning, supervised fine tuning, low rank approximation, parameter efficient fine tuning, in context learning.”
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Alex Tyrrell describes a dynamic chain-of-thought approach that adapts the LLM to the exact set of facts in each case rather than only to the general domain.
“not just adapting the LLM to the domain, adapting to the LLM to the exact instant set of facts and patterns presented.”
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Alex Tyrrell says breaking tasks into fine detail gives explainability and lets reviewers walk back through the reasoning steps to check them.
“you break down things to such fine detail, you get that explainability, you get that transparency, you can walk back through the reasoning steps and make sure that they were correct.”
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Alex Tyrrell uses the 'Bob Jones' example to describe the long-standing NLP problem of resolving which real-world entity a name refers to.
“Like Bob Jones, how many times you're gonna find Bob Jones in a document? Which Bob Jones were you talking about, right?”
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Alex Tyrrell says hyperscalers are bundling capabilities such as summarization and translation into managed services.
“And now the hyperscalers are are bundling a lot of these capabilities and kind of launching services.”
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Alex Tyrrell says he did a PhD on image analysis, which he considers lapped by newer models, and would not build it in house today.
“Now I did a whole PhD on this, and I I'm not saying they should take it away, but it's really been lapped many, many times.”
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Alex Tyrrell says distilling LLMs into small language models for industrial or healthcare devices is an area worth investing in and building.
“distilling LLMs and creating SLMs and creating SLMs you can deploy in in various, like maybe industrial capacities, or maybe in a healthcare setting on more of the the operational side and devices”
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Alex Tyrrell says organizations that build their own models take on ownership burdens such as monitoring for model drift.
“when you start building some of these things now, you own it, so model drift, you know, things like that.”
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Alex Tyrrell says agentic systems raise the problem of identifying an agent and knowing who one is talking to.
“how do you identify the identity of an agent? How do you know who you're talking to?”
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Alex Tyrrell says LLMs are helping threat actors scale up and better hide their attacks.
“the LLMs themselves, this technology, is allowing the threat actors to scale up their attack vectors, hide them better, come up with new, interesting ways”
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Alex Tyrrell says agents remove the friction of human button-pressing, so the rate and volume of requests to backends can rise sharply.
“Now, when agents are doing the work, there's no more friction. The rate and speed and volume that they can send to your probably similar back end”
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Alex Tyrrell says fine-grained API entitlements let an agent receive only specific, auditable information, supporting least-privilege access.
“that your entitlements are at the right level of granularity. So you're not just sending the whole payload back to the agent, you're getting the specific information that you can audit and ensure, um, least privileged access.”
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Alex Tyrrell says compliance standards such as HIPAA, SOC 2 and ISO raise new questions when LLMs are used, including for business associate agreements.
“HIPAA, SOC two, ISO, all these standards and compliance, they're interesting with LLMs, right?”
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Alex Tyrrell defines a monolith as a huge black-box program lacking proper exposed endpoints and fine-grained entitlements.
“it's just this huge 1,001, black box, you know, large program that really doesn't have the right exposed endpoints, it doesn't have that sort of right granularity of entitlements.”
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