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AI strategy is a hot topic these days, and everyone’s scrambling to come up with one. But where do you start?
At Hop, we have a comprehensive process for developing an AI strategy that we work through with our clients, but before we even get started, it's helpful to consider some foundational truths underlying our approach. These are some things we believe about AI strategies that are not necessarily widely understood.
Read moreI'm all for reasonable disagreements, but I find a lot of the current conversation around generative AI relatively unproductive. Every keynote speech at every conference I've been to this year has repeated some trite phrases that might make for a good sound bite but don't hold up to much critical consideration. In an attempt to further the conversation usefully, in this article, I'll point out some of the phrases that people use almost axiomatically that I don't think are actually true.
Read moreSince the release of ChatGPT in late 2022, AI has received large and increasing amounts of attention and investment. We believe this is entirely warranted – AI in various forms is poised to change the way that businesses work. But one consequence of the ChatGPT release being the catalyst for this wave of attention is that people equate AI with large language models (LLMs), and they equate LLMs with chatbots.
We love chatbots – ChatGPT and others in its class are amazing tools – but, as an AI consultancy with a long history of projects in the space before the current mania, we’re sensitive to the conflation of LLMs and chatbots. Many of the most exciting potential uses for LLMs have little to do with the chatbot interface, and we think those should get more attention.
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