Earlier quoted context omitted.
> Even if the book is 100% right, there will be many passages you don't understand, and may even misinterpret. Which is why no one reads only one book on a particular subject, especially if one is new to the domain. Often you bring in an alternate, but correct perspective from another book. The risks of hallucination with LLMs' responses outweighs the advantage of multiple perspectives (even if a broken clock is righ…
No one reads only one book on a subject? People act on mere headlines all the time. Reading one whole book would be a huge win over the status quo > The risks of hallucination with LLMs' responses outweighs the advantage of multiple perspectives You can ask a model a question multiple times. You can ask different models the same question. You can ask the same question different ways. You can do this automatically wit…
LLMs are for generating text, not producing knowledge. The actual knowledge come from the signal/noise ratio of the training data, not the training method.
It's like recording a violin in a noisy environment, encoding it with a low-bitrate lossy encoder and trying to get the PCM of only the violin back.
We've tried to use a better environment for recording specific notes from the violin (better training data), adjust the parameter of the lossy encoder (tuning the model), mix other violin samples to the respone (RAG, MCP), and redefining what a violin should sound like (LLMs marketing).
But the simpler solution is to record it correctly and play it later (AKA going to the source).