Large language models

…So I will go right in and then ask you because I, I have a lot of questions, especially around uh, automation and as well as computation and how today's large language models are changing how work is done, but also how langu languages interpreted and what we think we understand about them.…

…How do you see litigation Analytics evolving? I see litigation evolving into include more cases, so that includes more state coverage, and also that becomes more of an intricate part of large language models.…

…But the second thing was when we first started showing demos of what was possible, and this was in 2019, we were using large language models, which in retrospect don't seem as large as the ones today, but back then it was Bert and T five.…

…a technical perspective for that to happen? I mean, so kind of what you're describing there is a little bit of an in between stage of kind of like software systems and then trying to incorporate large language models.…

…So they, they didn't know that there was a long history uh, of large language models and an even longer history of basic um, insights and algorithms for training these large language models that goes back to the previous millennium.…

…And there's two categories of like, and I think we're really looking at right now, AI is this advent of large language models and kind of wide distribution that we have as different forms of integrating and products we invest in our businesses, we can use these tools individually.…

…When you think about these generative AI models, these large language models, there's theoretical possibilities with this technology that are creating opportunities in the revenue cycle that we haven't seen in the past.…

…This is way before the large language models.…

…And I guess my question is, how much in your opinion is the growth and the maturity of AI and NLP and large language models based on new math coming along versus the industry finally using the older math because we have the computing power to do things that we could have always been doing.…

…So with this kind of change, what do you consider to be the top three best practices for organizations looking to adopt AI tools in their data operations? There is a lot more coming, I think, with large language models.…

…18 00:01:04,239 - > 00:01:08,159 Ivan Lee is the founder and CEO of DataSource, which builds 19 00:01:08,159 - > 00:01:11,760 private, secure, large language models for regulated 20 00:01:11,760 - > 00:01:16,400 enterprises, organizations in healthcare, legal, finance, and 21 00:01:16,400 - > 00:01:20,159 government that can't send their data to OpenAI or Anthropic.…

…Um, I think it's easy to lose track given how quickly and explosively the kinds of large language models that people are using today have burst onto the scene.…

…SIMON MCINTOSH-SMITH Well, one of the, the things the government was really pressed to enable was the ability to train large language models in the UK and have a sovereign AI capability.…

…So that huge volume of generations of knowledge, can we find a way to get a computer to jump into that space of information via these large language models and AI that everyone is talking about, and kind of journey around that space via the prompts that we give it and create a way to predict what people might do based on what they've done for, you know, 100 years as…

…So very early on, uh, we kind of latched onto some of the big mo uh, el, uh, large language models, right?…

…People who have studied literature in any language and who has spent a lot of time in the humanities are probably now better and have an advantage at prompting and at working with large language models in these platforms.…

…With the newest AI techniques and leveraging large language models, we finally can.…

…Yes, everybody's going to be exercising critical thinking as they are using large language models right now and everybody's using judgment.…

…And I would say it's accelerating extremely fast with the just what we have seen in the last month with large language models.…

…that is unique and distinct inside the organizational system, when a lot of the base of your business in HR can reliably be done now and will continue to be done through AI and machine learning and large language models that I know we'll talk about later.…

…in another explosion in terms of activity And that I think really comes about from the massive amounts of computing that are being devoted to training AI the machine learning developing those large language models that really underpins AI.…

…So, by leveraging AI, large language models, conversational, user interfaces, then it's easier to get at the information you need.…

…Michael Nadel (11:45.624) On the InsureTech side, I think it's really interesting and I will touch on the topic of AI, know, and large language models and some of the tech that's coming out around there.…

…ago now, in a period right before the world changed, not right before COVID where the world changed the first time, but right before the world changed because of the arrival of widely available large language models, in particular chatgpt.…

…I mean , is it as simple as that's when these large language models like ChatGPT came into public awareness , or what are the forces that are shaping such a dramatic shift in such a short amount of time ?…

…But we're already using large language models to automate and help support a lot of our providers.…

…Together, we're tackling a critical challenge, unlocking the potential of structured data with large language models.…

…Now what are you working on now and uh, what do you think about these large language models shaking up the world of commerce and of human life on earth.…

…has taken off is that you can't really have intelligence without data you need something to train the AI on and with the internet and catalogs and so on and so forth becoming more and more mature large language models and AI agents have more data in to ingest and one of the opportunities is in fixing some of these data problems above and beyond the manual, okay, we've got to go through and clean up catalogs and so on, and having…

…And the issue with a lot of AI companies is that fundamentally they're at best a service layer over the large language models.…

…Um, and that's, you know, it's a group that I think is kind of at the center point for a lot of the Google innovation that's going on right now, especially around large language models.…

…Some others they may be already thinking about using those workflows in large language models, for example uh, Claude or ChatGPT, Enterprise or Copilot, and then they want to do their work from there.…

…But that was also before the debut of chat, GPT and large language models like that.…

…But when I think about technology itself and the evolution and the speed at which large language models are helping us all work differently, I think about technology and replacement of retail.…

…With respect to the, the, um, the inputs into the large language models, which were subject themselves to copyright because copyright only extends for a certain number of years.…

…Large language models as we know them today are going to change the world.…

…And as we think about vendor AI and third-party large language models, Morgan, from your perspective, what are the key elements of effective vendor your due diligence for AI systems?…

…peaker A: What does SOC 2 certification look like more easily? There's obviously some coding tools that might come out of things, like a lot of the large language models.…

…But for the average punter, we're all using large language models, LLMs, right?…

…Well now through the innovation of artificial intelligence and the tokenization and all of the stuff go that goes into primarily the large language models.…

…The neuro side is what people now mostly associate with large language models, your neural networks that can read large volumes of really unstructured data, spot patterns within it, et cetera.…

…And to the extent that you know how to use AI as something other than a glorified Google search, you're going to be able to win big time because large language models are very good at developing and structuring content.…

…So my philosophical starting points make me very skeptical that large language models or anything resembling them are going to end up being conscious.…

…You could put a ton of data into one of the large language models and come out with an answer, but if the data is not good or it's not enough or there's not enough to compare it to, the answer is not necessarily going to be the right answer.…

…peaker A: Yeah, it's a funny example, but it's relatable, right? Um, there's a lot of evidence now that advanced, uh, large language models are aware when they're being tested.…

…We talked a little bit on the panel that we had a couple weeks ago that there is this idea of generative AI and large language models.…

…census Bureau however, adoption accelerated sharply following the release of large language models in late 2022 with knowledge workers reporting rapid integration of AI tools into daily workflows.…

…So when you think about AI, generative AI and large language models, it really starts with do I know where this information is coming from?…

…So think of humans interacting with the most sophisticated technologies of our lifetime, which are large language models, whether it's through text, image, video, voice, input, output, the ability to say or ask a question and have those models create net new content or new conversations that have never existed before.…

…reported using AI in production processes with Higher rates in information 13.7percent and professional services 9% US Census Bureau however, adoption accelerated sharply following the release of large language models in late 2022 with knowledge workers reporting rapid integration of AI tools into daily workflows.…

…Uh, and then ask the system any one of the various, uh, large language models, uh, and generative AI platforms.…

…I mean, the data, for example, upon which all of these large language models are built is largely data from the global North.…

…But at uh, least currently the predominant models that people are using are the large language models and those are predictive, but predictive based on the most common previous response.…

…In the bottom we have a mix of all the latest and greatest, um, large language models from OpenAI, from Google, from Anthropic, from Everybody Grok.…

…One of the things that I've been sort of reflecting on, around, around artificial intelligence and particularly where people are using large language models to like make do things faster is all that really is, is things that we would, we were doing before with tools just as Mega'd made much, much quicker.…

…over month in the various generative AI components, then perhaps to your point, who is to say that we can actually have more accurate and more consistent decision making, and we can even use various large language models themselves to discern to what your definition was, really ensuring that we can see and ask questions appropriately?…

…They have really embarked on not only uh, leveraging generative AI and large language models, but also agents, um, and even groups of agents, so really building out an agentic workforce.…

…But I think overall people have a great understanding or a better understanding, um, of what AI can do as far as, um, reasoning and thinking, um, with large language models.…

…Large language models have made a really big difference on what how applicable AI is and the power of it.…

…AI hallucinations occur in large language models because these systems predict likely word sequences for answers rather than retrieving verified facts, making large language model hallucinations a, uh, structural byproduct of how generative AI models function.…

…And um, what large language models can do these days, it's just incredible.…

…Right now all of our lives have been transformed by, or are being transformed by large language models.…