The problem with GenAI is the same as any system. Garbage in equals garbage out. Couple it with no tuning and it’s a disaster waiting to happen. Good GenAI can exist, but you need some serious data science and time to tune it. Right now that puts the cost outside of the “do it by hand” realm (and by quite a bit). LLMs are useful given that they’ve been trained on general human writing patterns, but for a company to be able to replace their functions with highly specific tasks they need to develop and push their own data sets and training which they don’t want to spend the money on.
The problem with GenAI is the same as any system. Garbage in equals garbage out. Couple it with no tuning and it’s a disaster waiting to happen. Good GenAI can exist, but you need some serious data science and time to tune it. Right now that puts the cost outside of the “do it by hand” realm (and by quite a bit). LLMs are useful given that they’ve been trained on general human writing patterns, but for a company to be able to replace their functions with highly specific tasks they need to develop and push their own data sets and training which they don’t want to spend the money on.