Questions tagged [openai-gpt]
The openai-gpt tag has no usage guidance.
27
questions
1
vote
0answers
8 views
Conceptually, how to deal with facts and time in GPT-3 and Language Models
When exploring text generation using various large language models, I frequently come across generated text which presents facts which are plain out wrong. I am not talking about fake news or bias, ...
3
votes
1answer
84 views
BERT vs GPT architectural, conceptual and implemetational differences
In the BERT paper, I learnt that BERT is encoder-only model, that is it involves only transformer encoder blocks.
In the GPT paper, I learnt that GPT is decoder-only model, that is it involves only ...
0
votes
1answer
13 views
Is there a ubiquitous web crawler that can generate a good language-specific dataset for training a transformer?
It seems like a lot of noteworthy AI tools are being trained on datasets generated by web crawlers rather than human-edited, human-compiled corpora (Facebook Translate, GPT-3). In general, it sounds ...
0
votes
0answers
10 views
What is a good few-shot classifier function?
Is there any pre-written library or function which can receive a few examples of data values being classified and then extend that to new data values received?
1
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0answers
13 views
Is there an AI function that can provide the definition of a word or phase with reasonably good accuracy?
I would like to make use of a software function which can provide the definition of a word or phrase. These words and phrases are in the realm of common knowledge - objects like "DVD player",...
0
votes
2answers
119 views
What exactly are the parameters in GPT-3's 175 billion parameters?
What exactly are the parameters in GPT-3's 175 billion parameters? Are these the words in text on which model is trained?
0
votes
0answers
66 views
What tokenizer does OpenAI's GPT3 API use?
I'm building an application for the API, but I would like to be able to count the number of tokens my prompt will use, before I submit an API call. Currently I often submit prompts that yield a 'too-...
1
vote
0answers
41 views
How to derive Evidence Lower Bound in the paper "Zero-Shot Text-to-Image Generation"?
Can someone share the derivation of Evidence Lower Bound in this paper ?
Zero-Shot Text-to-Image Generation
The overall procedure can be viewed as maximizing the
evidence lower bound (ELB) (Kingma &...
0
votes
0answers
19 views
How gpt 3 handle exploding gradients?
In deep neural networks, sometimes we see the problem of exploding and vanishing gradients. So how is it handled by GPT 3 which has billions of parameters?
0
votes
1answer
49 views
Training Objective of language model for GPT3
On page 34 of OpenAI's GPT-3, there is a sentence demonstrating the limitation of objective function:
Our current objective weights every token equally and lacks a notion of what is most important to ...
1
vote
0answers
15 views
How to take the keywords from the given dataset to train GPT-2 based chatbot?
I am working with a dataset that contains Questions on various Events conducted by a college and the corresponding answers for the queries. I am using this dataset to train a GPT-2 355M model to ...
2
votes
1answer
12 views
Best strategy for extracting specific structured data from unstructured sentences
Given a list of sentences like this:
4 to 5 hours over a period of 16 weeks
1st session: 2.0-2.5 hours & 2nd session: 1.5-2.0 hours
Approximately 5-6 visits over the course of 5 months. Visit 1, ...
0
votes
1answer
200 views
How to access GPT-3, BERT or alike?
I am interested in accessing NLP models mentioned in scientific papers, to replicate some results and experiment.
But I only see waiting lists https://openai.com/blog/openai-api/ and licenses granted ...
1
vote
1answer
840 views
What is the difference between GPT blocks and BERT blocks
Nowadays many applications only use the Encoder and Decoder part of the Transformer respectively. I am having trouble understanding the difference though.
If GPT uses Decoder only and BERT uses ...
0
votes
1answer
1k views
What's the right input for gpt-2 in NLP
I'm fine-tuning pre-trained gpt-2 for text summarization. The dataset contains 'text' and 'reference summary'. So my question is how to add special tokens to get the right input format. Currently I'm ...
2
votes
2answers
58 views
Evaluating Language Model on specific topic
I have finetuned a pretrained Language Model(GPT-2) on a custom dataset of mine. I would like a way of evaluating the ability of my model to generate sentences of a specific predefined topic, given in ...
6
votes
2answers
5k views
Does BERT has any advantage over GPT3?
I have read a couple of documents that explain in detail about the greater edge that GPT-3(Generative Pre-trained Transformer-3) has over BERT(Bidirectional Encoder Representation from Transformers). ...
1
vote
1answer
247 views
GPT-3 API Documentation?
Has documentation of the GPT-3 API been made public?
I would be interested in keeping myself up to speed on the API's capability.
-1
votes
1answer
812 views
For NLP, is GPT-3 better than RoBERTa? [closed]
I am learning deep learning and I want to get into NLP. I have done LSTM, and now I am learning about vectorisation and transformers. Can you please tell me, which algorithm is more effective and ...
5
votes
1answer
689 views
How is GPT able to handle large vocabularies?
From what I understand, GPT and GPT-2 are trained to predict the $N^{th}$ word in a sentence given the previous $N-1$ words. When the vocabulary size is very large (100k+ words) how is it able to ...
2
votes
1answer
55 views
Generate text using user-supplied keywords
I've got a use case where I need to generate sentences based on a set of user supplied keywords. Here is an example of what I need:
User input:
End-User: Data Scientists
Region: Middle East
...
1
vote
2answers
779 views
Does the transformer decoder reuse previous tokens' intermediate states like GPT2?
I recently read Jay Alammar's blogpost about GPT-2 (http://jalammar.github.io/illustrated-gpt2/) which I found quite clear appart from one point :
He explains that the decoder of GPT-2 processes input ...
3
votes
2answers
58 views
How to generate a sentence with exactly N words?
Thanks to GPT2 pretrained model now it is possible to generate meaningful sequence of words with or without prefix. However a sentence should end with a proper endings (.,!,?). I am just wondering how ...
1
vote
0answers
40 views
Pretrained Models for Keyword-Based Text Generation
I'm looking for an implementation that allows me to generate text based on a pre-trained model (e.g. GPT-2).
An example would be gpt-2-keyword-generation (click here for demo). As the author notes, ...
2
votes
1answer
3k views
How does BERT and GPT-2 encoding deal with token such as <|startoftext|>, <s>
As I understand, GPT-2 and BERT are using Byte-Pair Encoding which is a subword encoding. Since lots of start/end token is used such as <|startoftext|> and , as I image the encoder should encode ...
3
votes
0answers
156 views
Fine tune gpt2 via huggingface API for domain specific LM
i am using the script in the examples folder to fine-tune the LM for a bot meant to deal with insurance related queries. So if someone were to type "i am looking to modify my ..." , the autocomplete ...
2
votes
0answers
173 views
Paragraph Generator using BERT or GPT
I am trying to generate similar sentences, called paragraph generation. For example, what is the name of the eldest brother of ram? - For these paragraphs can be - who is the oldest brother of ram? , ...
