Up until last week I worked for a stupidly big consumer data company and our in-house AI tools were not LLMs, they used an LLM as its secondary interface and let me tell you none of you are ready for this.
The problem with current LLMs is confabulation and it is not solvable. It’s inherent in what a LLM is. the returns I was generating were not from publicly available LLMs or LLM services, but from expert systems trained only on the pertinent datasets. These do not confabulate as they are not word guessing algorithms.
Think of it like wolfram alpha for human behavior
People look at LLMs as the public face of AI but they aren’t even close to the most important.
Up until last week I worked for a stupidly big consumer data company and our in-house AI tools were not LLMs, they used an LLM as its secondary interface and let me tell you none of you are ready for this.
The problem with current LLMs is confabulation and it is not solvable. It’s inherent in what a LLM is. the returns I was generating were not from publicly available LLMs or LLM services, but from expert systems trained only on the pertinent datasets. These do not confabulate as they are not word guessing algorithms.
Think of it like wolfram alpha for human behavior
People look at LLMs as the public face of AI but they aren’t even close to the most important.