i actually like writing code and did not imagine i would enjoy just asking my business data analysis questions with natural language, but i’m nothing if not flexible and open to reevaluating my opinions
Tag Archives: gen_ai
what is driving the semantic layer revival? (ai can’t live without it)
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?
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
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