AI Remains a Supporting Actor in Enterprise Sales, For Now

by Tony Palladino Revolution creates a paradigm shift. The industrial revolution was followed by the information age, when the advent of computers and the internet created another paradigm shift for the world economy. Countless innovations followed, such as smart phones, online shopping and streaming video to name just a few of the life changing innovations. And now, with the advent of Generative AI, we are on the cusp of yet another revolution. Change is happening at an accelerated pace. After 20+ years of Machine Learning, we are now beyond the curve in the hockey stick growth chart, with change climbing…

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LLMOps – Generative AI needs new processes to deploy Large Language Models at the Edge

by Sanjay Mazumder Venture Capitalists look at new ideas from one of two perspectives, either it has to be “better, faster, cheaper” or “brave new world”. Seldom do they pick the second one. 2023 is such a year. In the past few months, we’ve already seen how generative AI is setting the business agenda for major tech companies. What makes it different from previous “new worlds” concepts like Metaverse or Crypto Currency? First of all, it’s not an ethereal concept. It’s tangible and proven technology. And it’s not a tech trend only embraced by techies. Rather generative AI is already…

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Exploring the Odds: What Will ChatGPT Get Right And Wrong?

by Bill Franks I recently wrote about how you can think of everything that ChatGPT, or any other generative AI tool, creates as a hallucination. However, even given that generative AI is making up its answers from scratch based on probabilities, it still manages to get a lot of things right. This led me to ponder … is it possible to know in advance how likely you are to get an accurate answer from ChatGPT? Are there patterns to what it gets right and wrong? Yes! I’ll outline some guidelines here. How Recent Is Your Topic? Like all models, ChatGPT…

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