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This is the purpose of LLMOps. To provide guardrails for precise output to prevent hallucination.
by neuralnetes-COO 2y ago
This is the purpose of LLMOps. To provide guardrails for precise output to prevent hallucination.
- dotinvoke 2y agoThis is the first I'm hearing of LLMOps, please elaborate a bit on what it entails. How does it provide guardrails?
- neuralnetes-COO 2y agoBasically, do you want a pipeline/process that utilizes LLMs and provides exactly the output you want? How do you formalize a human expert workflow using LLMs? With LLMOps. It is new, there is no standard or predefined resource that I'm aware of. At neuralnetes we are creating all of our methods ad hoc and use tight feedback loops to ensure ideal, precise output.
- Kye 2y agoThat sounds like technical editing but for LLM output instead of technical writers.
- neuralnetes-COO 2y agoIt's mostly software engineering.
- sfn42 2y agoSounds like it's mostly air unless you can point to an LLM that doesn't confabulate.
- hiAndrewQuinn 2y agoNo need to set impossible standards here, the correct thing to ask is whether the guardrailed LLM confabulates less than its competitors. That sounds like a useful job to have.
- sfn42 2y agoI'm not setting the standards, the person I replied to did. Anyone can make up imaginary tech that does amazing imaginary things.
- neuralnetes-COO 2y agoIt's not imaginary if it works.
- sfn42 2y agoAll I'm saying is prove it.