How to build a powerful LLM user feedback loop
Discover how to build a powerful LLM user feedback loop with Nebuly, optimizing AI interactions and driving continuous improvement.
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Visual understanding: Unlocking the next frontier in AI
At the NYC AIAI Summit, Joseph Nelson, CEO & Co-Founder of Roboflow, took the stage to spotlight a critical but often overlooked frontier in AI: vision. In a field dominated by breakthroughs in language models, Nelson argued that visual understanding – or how machines interpret the physical world – is just as essential for building…
Marketers are adopting AI. So why aren’t organizations embracing it?
Earlier this yr, we started engaged on a report exploring the way forward for advertising and marketing. There’s a whole lot of noise on the subject – a lot of it conjecture – so we needed to listen to from precise entrepreneurs on what they assume the occupation will appear like in 1, 5, 10 years’ time….
AI agents struggle with “why” questions: a memory-based fix
Large language models have a memory problem. Sure, they can process thousands of tokens at once, but ask them about something from last week’s conversation, and they’re lost. Even worse? Try asking them why something happened, and watch them fumble through semantically similar but causally irrelevant information. This fundamental limitation has sparked a race to…
A new framework for keeping AI accountable
Picture this: a hospital AI that starts accurate but gradually becomes biased against certain patient groups. A recommendation algorithm that slowly creates echo chambers. An autonomous vehicle network where safety degrades over months of real-world operation. These aren’t hypothetical scenarios—they’re the reality of deploying AI systems that interact with humans and evolve over time. A…
When (and when not) to build AI products: A guide to maximizing ROI
A few weeks ago, I saw a post on Instagram that made me laugh; it was about someone’s grandmother asking if she should invest in AI. That really struck a chord. Right now, AI is everywhere. It’s overhyped, misunderstood, and somehow both intimidating and irresistible. I work with executives, product managers, and board members every…
Human + AI: Rethinking the roles and skills of knowledge workers
Artificial intelligence is not just another gadget; it’s already shaking up how white-collar jobs work. be important. Critical and strategic thinking When routine tasks are automated, the human side of problem framing, strategy, and design can shine through. This means developing, along with domain expertise, long-term thinking: choosing the right technology tools, architecting resilient systems,…
