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Questions tagged [prompt]

0 votes
1 answer
64 views

Yesterday I gave a task to ChatGPT and noticed despite the clear step-by-step task to return the information from a simple table with 38 records, it stops to generate right response and after some ...
Mario's user avatar
  • 113
1 vote
3 answers
4k views

What prompt (or other technique) should I use with an LLM so that The result is guaranteed to be reliably parseable as a list of values (e.g. a Python list of strings) LLM would understand that a ...
Elijas Dapšauskas's user avatar
2 votes
1 answer
299 views

I know of some benchmarks that LLMs do undergo, but I am no expert whatsoever. I think what I am wondering about is closest to TruthfulQA. The question came up when I heard of combining company data ...
Mathy's user avatar
  • 153
1 vote
1 answer
168 views

I don't ask how to make it summarize xy but if it is known how a "LLM" understands and performs this meta task at all. The same is true for prompts like "Be brief" or "Explain ...
d3nigma's user avatar
  • 23
3 votes
2 answers
6k views

I have a dataset which consists of like.. 400000 sentences and I want give each sentence to ChatGPT so it classifies each sentence as positive or ...
cnmesr's user avatar
  • 131
2 votes
3 answers
693 views

All the prompt engineering techniques I've seen seem to focus on telling the model what to do e.g. Few-Shot Prompting. Is there any value in giving the model examples of what not to do? Can you link ...
codeananda's user avatar
5 votes
1 answer
535 views

DAN was a prompt that went through many, many iterations during the initial months of ChatGPT’s release to the public. DAN is an acronym which stood for “Do Anything Now”, and was a prompt ...
Julius Hamilton's user avatar
2 votes
0 answers
146 views

So today's Michael J Fox's birthday, and I thought I could pay homage to him on my Facebook timeline by posting an image of him and Christopher LLoyd from the 2015 version of Hill Valley as depicted ...
Q The First Timelord's user avatar
0 votes
1 answer
189 views

We have a dataset of legal cases, academic papers etc which we will load into a vector database. We want to develop an agent that will allow a user to enter a specific legal issue, the agent then will ...
GEM's user avatar
  • 1
1 vote
1 answer
532 views

I have learned a bit recently about prompt strategies. For example, there was a paper about how just by saying “Let’s think step by step” can increase answer quality by like 40%. I have also come to ...
Julius Hamilton's user avatar
1 vote
1 answer
259 views

I’m quite new in this field, and despite having spent some good amount of time learning the ins and outs of frameworks like LangChain, and browsing around the internet quite a bit, I still don’t know ...
newlog's user avatar
  • 121
0 votes
1 answer
1k views

I wrote a code for a conversation between 2 ChatGPTs (which I call them agent 1 and agent 2) using poe.com and its reversed engineered API: ...
Amirhossein Rezaei's user avatar
44 votes
4 answers
56k views

In the API of GPT-4 and ChatGPT, the prompt for a chat conversation is a list of messages, each marked as one of three roles: system, ...
Volker Siegel's user avatar
1 vote
1 answer
248 views

For example, I guess that for some retrieval augmented LLMs, their generated contents may lack some creativity? Recent work has explored the inability of retrieval augmented methods to enhance the ...
Iris88's user avatar
  • 11
0 votes
0 answers
334 views

I would like to hear your thoughts on when is it appropriate to use prompting vs. fine-tuning. Does one make more sense for specific tasks than the other. Kindly elaborate.
Josiah Cheruiyot's user avatar

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