Re: Prompt Engineering (reader)

Hello, stumbling in late to the thread. I am the lead  educator for
Midjourney, we are a research lab specializing in art/aesthetics. We
recently released a model that is quite good at NLP. If I can be of any
assistance to learn or explore Midjourney, please let me know. On the
Midjourney official Discord server you can find me as @clarinet
(whatnostop). 

www.Midjourney.com


On December 30, 2023, Dave Raggett <dsr@w3.org> wrote:
> The good news is that the current concept of prompt engineering is
> likely to fade away as agents get better at understanding the context
> in which questions are asked and hence what kinds of responses will be
> most useful.  I am at an early stage of an investigation into how to
> give cognitive agents a memory of the past, present and future, along
> with continual learning and explicit sequential deliberative
> reasoning. This will enable agents to adapt to individual users and
> tasks to be effective partners in human-machine collaboration.  
>
> On Netflix, it is now commonplace to hear mixed language dialogues.
> Generative AI will no doubt soon be able to handle this effectively,
> as it is mainly just a matter of sufficient training data.  One way to
> deal with hallucinations is using the proposer-critic pattern where
> one agent critiques the output of another. This would start with
> deliberative reasoning, and over time be “compiled” as the proposer
> critic learns from the feedback.
>
> > On 30 Dec 2023, at 17:55, ProjectParadigm-ICT-Program
> > <metadataportals@yahoo.com> wrote:
> >
> > I take issue with the term "prompt engineering"because it somehow
> > implies creating a "well formed query"that "prompts" a "well formed
> > input format" leading to an output within the range of scope and
> > intention of the well formed query.
> >
> >
>
>
> Dave Raggett <dsr@w3.org>
>