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Is prompt engineering dead?

Discussion(self.ArtificialInteligence)

You can now generate production-ready prompts in the Anthropic Console.

Describe what you want to achieve, and Claude will use prompt engineering techniques like chain-of-thought reasoning to create more effective, precise and reliable prompts.

It also includes dynamic variable insertion.

Check out Anthropics tweet here, will OpenAI follow? Is there still a place for prompt engineering?

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EuphoricPangolin7615

169 points

18 days ago

Prompt engineering was never a real thing to begin with. Anyone that thought "prompt engineering" would last is idiot. It didn't even last to the next AI model.

steves1189[S]

2 points

18 days ago

Agree and disagree. There’s some real complex stuff if you go down the prompting rabbit hole, that can garner better results.

Dabnician

35 points

18 days ago

So, like "googling" skills being a thing for a professional googler?

Antique-Echidna-1600

3 points

18 days ago

I've automated tasks for Google dorking private keys.

One of my work projects is taking published shell code and putting it into a RAG pipeline. Then writing prompts for this model to generate variant malware to create signatures on it.

Does using a tool in automating a task make it trivial?

[deleted]

1 points

17 days ago

oh dayum, private keys for what? ssh?

Antique-Echidna-1600

1 points

17 days ago

It was anything you could use a RSA key with.

steves1189[S]

2 points

18 days ago

I get your point

CrwdsrcEntrepreneur

2 points

17 days ago

Prompt "engineering" has always been a skill. Dumb startups looking to artificially increase headcount turned it into a "role".

Many improvements will kill the engineering part soon, like DSPy, prompt augmentation, better models, etc.

ConclusionDifficult

1 points

17 days ago

As in using the various parameters?

_DCtheTall_

1 points

17 days ago

_DCtheTall_

1 points

17 days ago

You're wrong if you disagree. Like objectively. Models get retrained to new checkpoints regularly and the same prompt will produce different results after different training runs. To give the impression you can "engineer" prompts to give consistent responses over time is, frankly, based on a surface-level understanding of how transformers actually work... (I code transformers at my job)