Re: Prompt Engineering (reader)

@Claire,
Thanks for your contact, For those of us not on Discord, please share any
relevant thing we can learn also on this list!
Depending on where are your users coming from (their background) prompt
engineering learning can be useful in everyday communication also

@milton @daver
It is fundamentally learning how to communicate with the model, in some
aspect not unlike learning how to communicate with
people on the neurodiversity spectrum- takes some figuring out, we are a
long way from AI imho, but good to see where things are going

More...



On Sat, Dec 30, 2023 at 7:54 PM Claire Benedikt <clarinet@hey.com> wrote:

> 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.
>
> But natural language is tricky, and as a polyglot I can assure you that
> you can make any chatbot hallucinate by language blending.
>
> I remember from my university days how as a mathematician I had
> conversations with philosophers and language students about this language
> blending, which is in short is combining common grammatical constructs but
> in one language switching to to idiomatic styles of another, change
> tonality and in some cases word order not unlike in poetry.
>
> Current literature on polyglots shows they have cognitive skills to better
> cope with bias and rational thinking.
>
> Unfortunately Big Internet and AI tech is monolinguistic and does not want
> to address these and other linguistic issues.
>
> Prompt engineering is what we would normally consider part of human
> computer interaction, and the vast body of scientific literature shows that
> between computational linguistics and generative AI using large language
> models lies a field of categories of statistical natural language modeling
> with inherent biases.
>
> We are still decades away from having a C3PO robot versed in all 7,000
> plus human languages.
>
> Natural language is multiple contexts sensitive and IMHO current state of
> the art generative AI doesn't come close to dealing with this, hence the
> "prompt engineering" term is catchy but technically nonsense.
>
> Milton Ponson
> GSM: +297 747 8280
> PO Box 1154, Oranjestad
> Aruba, Dutch Caribbean
> Project Paradigm: Bringing the ICT tools for sustainable development to
> all stakeholders worldwide through collaborative research on applied
> mathematics, advanced modeling, software and standards development
>
>
> On Saturday, December 30, 2023 at 05:16:20 AM AST, Paola Di Maio <
> paola.dimaio@gmail.com> wrote:
>
>
> We received fun intelligent (pseudo intelligent?) generative demos on this
> list (by Dave R)  that show output, but did not describe the prompts. I
> asked about the prompt and received no reply(recursive empty prompt vector?)
>
> Prompt Engineering is a thing (but it is not new)
> Good article:
> https://www.zdnet.com/article/how-to-write-better-chatgpt-prompts/
> READ AND DISCUSS
>
> There is however new emphasis on Generative AI and Natural Language that
> moves the field on from SQL and the likes
> which is interesting and, dare I say, important
>
> I may be able to share some lecture notes
>
> Happiest possible year given the sodden circumstances the world is
>
>
> PDM
>
>
>
>
> Dave Raggett <dsr@w3.org>
>
>
>
>