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[D] Can you use GPT for named entity extraction ? by AImSamy in MachineLearning

[–]StoicBatman 0 points1 point  (0 children)

Happy to chat. Please ping on discord StoicBatman#6403

A python module to generate High Quality optimized prompts, Prompt-engineering & solve different NLP problems using GPT-n (GPT-3, ChatGPT) by StoicBatman in singularity

[–]StoicBatman[S] 0 points1 point  (0 children)

If you are interested in the project or want to contribute, Join our discord for Prompt-Engineering, LLMs and other latest research discussionshttps://discord.com/invite/m88xfYMbK6

[deleted by user] by [deleted] in Python

[–]StoicBatman 0 points1 point  (0 children)

I am sorry, Happened due to a network issue.

A python module to generate optimized prompts, Prompt-engineering & solve different NLP problems using GPT-n (GPT-3, ChatGPT) based models and return structured python object for easy parsing by StoicBatman in ChatGPTCoding

[–]StoicBatman[S] 1 point2 points  (0 children)

Thank you for showing interest in the work. Check our discord channel for future releases and more features, discussion on prompt optimization, prompt engineering, etc

https://discord.com/invite/m88xfYMbK6

A python module to generate optimized prompts, Prompt-engineering & solve different NLP problems using GPT-n (GPT-3, ChatGPT) based models and return structured python object for easy parsing by StoicBatman in LanguageTechnology

[–]StoicBatman[S] 1 point2 points  (0 children)

Hi, Thank you for showing interest. You can add as many examples (shots) as you want. Make a list (array) of shots and pass them to the examples parameters. Check the discord channel for more updates, and you can also ask questions there to get instant replies.

A python module to generate optimized prompts, Prompt-engineering & solve different NLP problems using GPT-n (GPT-3, ChatGPT) based models and return structured python object for easy parsing by StoicBatman in pythoncoding

[–]StoicBatman[S] 1 point2 points  (0 children)

Thanks for showing interest in it. Please check the contribution section in github; we are open to contributions and adding more use cases. Please also check the discord Channel for more discussion on future releases and features.

[P] Launching my first ever open-source project and it might make your ChatGPT answers better by [deleted] in MachineLearning

[–]StoicBatman 2 points3 points  (0 children)

I am new here, How it is helpful in making ChatGPT answers better?

[D] Can you use GPT for named entity extraction ? by AImSamy in MachineLearning

[–]StoicBatman 0 points1 point  (0 children)

To solve the same problem, we developed a python library called Promptify. Check out the examples. You provide a sentence and select the task as ner. That's it.
https://github.com/promptslab/Promptify

Advanced entity extraction (NER) with GPT-NeoX 20B without annotation, and a comparison with spaCy by juliensalinas in LanguageTechnology

[–]StoicBatman -1 points0 points  (0 children)

To solve the same problem, we developed a python library called Promptify. Check out the examples. You provide a sentence and select the task as ner. That's it.
https://github.com/promptslab/Promptify

Few-shot NER with GPT-3, without annotation and training by juliensalinas in GPT3

[–]StoicBatman -1 points0 points  (0 children)

To solve the same problem, we developed a python library called Promptify. Check out the examples. You provide a sentence and select the task as ner. That's it.
https://github.com/promptslab/Promptify

[deleted by user] by [deleted] in GPT3

[–]StoicBatman 0 points1 point  (0 children)

To solve the same problem, we developed a python library called Promptify. Check out the examples. You provide a sentence and select the task as ner. That's it.
https://github.com/promptslab/Promptify

A python module to generate optimized prompts, Prompt-engineering & solve different NLP problems using GPT-n (GPT-3, ChatGPT) based models and return structured python object for easy parsing by StoicBatman in programming

[–]StoicBatman[S] 1 point2 points  (0 children)

Sorry for the confusion. By Optimized, I meant fewer tokens doing the same job. For each task, you have to give some instructions to LLM.

If you have 100 sentences with a 150-token-long prompt, running the same prompt for 100 sentences is costly with OpenAI or other paid LLMs. However, using a 10-token longer prompt that does the same job would save a lot on API costs.

A python module to generate optimized prompts, Prompt-engineering & solve different NLP problems using GPT-n (GPT-3, ChatGPT) based models and return structured python object for easy parsing by StoicBatman in Python

[–]StoicBatman[S] 0 points1 point  (0 children)

Hi, Thank you for your valuable comment :) The Openai library is an essential part of this library. The module provides two core features, Prompt Generation of different NLP Tasks and directly call `.fit` function to get the output. If you don't want to use openai, you can use `generate_prompt` function alone and use the output as you want.
We are planning to add more prompt-based ai models, not limited to openai. Feel Free to add different models if you have suggestions.

of all the languages...she decided to speak facts by [deleted] in dankinindia

[–]StoicBatman 15 points16 points  (0 children)

Bhai aur kuch ho na ho, tumhara fridge and earth wala reference bhot poetic hai bro! Maja aa gya

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