← Back to context Comment by naasking 1 year ago State is a function of accumulated past information. 5 comments naasking Reply jncfhnb 1 year ago State is a function of accumulated past. That does not mean that having some past written down makes you stateful. A stateful thing has to incorporate the ongoing changes. naasking 1 year ago Which is what I described: some successful prompt-replies are fed back into subsequent training runs. jncfhnb 1 year ago No… that implies the model never has active state and is being replaced with a different, stateless model. This is similar to the difference betweenActor.happy = TrueAndActor = happier(Actor) 2 replies →
jncfhnb 1 year ago State is a function of accumulated past. That does not mean that having some past written down makes you stateful. A stateful thing has to incorporate the ongoing changes. naasking 1 year ago Which is what I described: some successful prompt-replies are fed back into subsequent training runs. jncfhnb 1 year ago No… that implies the model never has active state and is being replaced with a different, stateless model. This is similar to the difference betweenActor.happy = TrueAndActor = happier(Actor) 2 replies →
naasking 1 year ago Which is what I described: some successful prompt-replies are fed back into subsequent training runs. jncfhnb 1 year ago No… that implies the model never has active state and is being replaced with a different, stateless model. This is similar to the difference betweenActor.happy = TrueAndActor = happier(Actor) 2 replies →
jncfhnb 1 year ago No… that implies the model never has active state and is being replaced with a different, stateless model. This is similar to the difference betweenActor.happy = TrueAndActor = happier(Actor) 2 replies →
State is a function of accumulated past. That does not mean that having some past written down makes you stateful. A stateful thing has to incorporate the ongoing changes.
Which is what I described: some successful prompt-replies are fed back into subsequent training runs.
No… that implies the model never has active state and is being replaced with a different, stateless model. This is similar to the difference between
Actor.happy = True
And
Actor = happier(Actor)
2 replies →