decades later semantic layers are still a good idea. will the value they provide agentic ai finally be the reason enterprises build & maintain these valuable business context dictionaries?
Tag Archives: chatgpt
don’t lead your chat-based llm (it wants to please)
ai tools want to please us, but their overly-agreeable responses are tweaked to make use happy, not necessarily provide the right, or best, response — don’t trust the response at face value!
yarp: yet another rag post (this time using sql)
you don’t have to know python or bother your data scientists to start exploring genai concepts like rag; you just need a tool that offers these features in a familiar sql interface
unstructured docs in ai (the wild west)
rag ai apps can only be as good as the parsed and chunked data that fuels them – testing, testing, and more testing the outputs of all the various available libraries with the front-end apps is critical
the effect of ai on intelligence (behold the idiocracy)
the long-term benefits of sunscreen have been proved by scientists whereas my advice on ai has no basis more reliable than my own meandering experience; i will dispense this advice now, but trust me on the sunscreen
understanding rag ai apps (and the pipelines that feed them)
i’m learning all about rag ai apps and wanted to try to explain, at a high-level, what these are all about plus do the same for the etl pipelines that are key to their success
finally checking out chatgpt (adding a new tool in my toolbelt)
putting aside my (natural?) fear of artificial intelligence, i finally got around to exploring (testing?) chatgpt that everyone has been talking about for many months now