3 ms·
Isn’t that one of the nice things of computers in general not a feature of llm?
by kjkjadksj 1y ago
Isn’t that one of the nice things of computers in general not a feature of llm?
- ChrisMarshallNY 1y agoThe difference is the complexity of the repeated task
- BandButcher 1y agoBut don't those complexities still boil down to machine level instructions?? Or can/do llms operate outside of a CPU? Thanks
- ChrisMarshallNY 1y agoI’m not getting into angels and pinheads, but modern ML has the ability to perform “fuzzy analysis,” and interpret results in a far more flexible manner, than ever before. They may not be able to match an MIT Ph.D, at analyzing experimental feedback, but they can probably match a lot of research assistants. It’s like having a billion RAs, all running experiments, and triaging the results. I understand that is how they have made such good progress on medicines, with AI. > “I have not failed. I've just found 10,000 ways that won't work.” -Attributed to Thomas Edison
- kjkjadksj 1y agoWith machine learning, not with llm.
- ChrisMarshallNY 1y agoThis is true.
- Timwi 1y agoThe CPU/GPU is to an LLM kinda like axons and dendrites are to the human brain: just a low-level implementation detail. The main crux of an LLM is what happens at a higher level. The machine-level instructions being executed are just matrix multiplications. Billions of them. The complexity of LLM behavior is emergent from that.