ABOUT THIS PODCAST 🔗
Update frequency:
every 12 days
Average audio length:
37 minutes
Guest interviews
English
United States
19 episodes
since Nov. 16, 2022
episodic
LATEST EPISODE 🔗
Schaun Wheeler and Arpit Choudhury talk about Content Management Systems (CMS) and how they are a treasury of information that can be leveraged for hyper-personalization. They explore how generative AI is transforming CMS, the importance of data quality, and the potential of LLMs in enhancing user …
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PREVIOUS EPISODES 🔗
In order to mimic human decision making, agents need to estimate the probability that a particular intervention will move user behavior in the right direction, but also estimate how much confidence they should put in that probability assessment. The first estimate is easy - or, at least, straightfo…
When you're on a team, you tend to figure out problems collectively - you chat with your teammates, compare notes, and swap stories about what has or has not worked in the past. What if the team is a team of agents? How do agents compare notes?An embedding space. An embedding space is a high-dimens…
Paul Meinshausen and Schaun Wheeler talk about the key components behind decision-making and what goes into automating it in this discussion hosted by Arpit Choudhury. They emphasize that successful decision automation includes understanding the nuances of decision repeatability, outcome evaluation…
Agentic learners aren't tools or systems or programs. They're additional headcount. As with a a human team, one of the most important aspects of managing a team agentic learners is to know how you can give feedback and instruction. I made a video recently (link the comments) about representing user…
How do you make a computer program show curiosity? You randomly draw from a beta distribution. Yes I'm serious. A core problem in agentic learning is the navigation of the explore/exploit tradeoff. Agents have many options to choose from when trying to engage users, and they always need to balance …
Agents that work on the basis of behavioral data need to be able to make judgements about how successful (or not) their actions are. Unlike an A/B test or a multi-armed bandit, where you use success rates over many users to determine the relative value of different options, an agent needs to be abl…
Schaun Wheeler and DJ Rich delve into the intricacies of building recommender systems in this podcast hosted by Arpit Choudhury. The discussion highlights the steps to developing a recommender system, practical advice for startups, and the evolving landscape of recommender technologies.
KEY POINTS…
Most smaller apps wish they had the resources of a mega-app, but should they?Join us this week as we talk with Thomas le Hardy about his past experience working as Director of Customer Acquisition at Audible (Amazon) and how it compares with his current role as VP of Marketing at Tonsser.During the…
Growing a B2C app is difficult, but encouraging users to use an employer-sponsored app brings additional challenges:If a significant number of employees don't use the app, the employer will cancel your contract.Join us this week on the Appthropology podcast as we talk with Martyna Malinowska, …
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