325 lines
21 KiB
Plaintext
325 lines
21 KiB
Plaintext
{
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"cells": [
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{
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"attachments": {},
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Thử nghiệm với OpenAI GPT\n",
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"\n",
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"Notebook này là một phần của [Chương trình học AI cho người mới bắt đầu](http://aka.ms/ai-beginners).\n",
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"\n",
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"Trong notebook này, chúng ta sẽ khám phá cách sử dụng mô hình OpenAI-GPT thông qua thư viện `transformers` của Hugging Face.\n",
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"\n",
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"Không để bạn chờ lâu, hãy khởi tạo pipeline tạo văn bản và bắt đầu tạo nội dung nào!\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {},
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"outputs": [
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"c:\\Users\\bethanycheum\\Desktop\\AI-For-Beginners\\.venv\\lib\\site-packages\\tqdm\\auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
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" from .autonotebook import tqdm as notebook_tqdm\n",
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"Downloading model.safetensors: 100%|██████████| 479M/479M [04:28<00:00, 1.78MB/s] \n",
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"c:\\Users\\bethanycheum\\Desktop\\AI-For-Beginners\\.venv\\lib\\site-packages\\huggingface_hub\\file_download.py:133: UserWarning: `huggingface_hub` cache-system uses symlinks by default to efficiently store duplicated files but your machine does not support them in C:\\Users\\bethanycheum\\.cache\\huggingface\\hub. Caching files will still work but in a degraded version that might require more space on your disk. This warning can be disabled by setting the `HF_HUB_DISABLE_SYMLINKS_WARNING` environment variable. For more details, see https://huggingface.co/docs/huggingface_hub/how-to-cache#limitations.\n",
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"To support symlinks on Windows, you either need to activate Developer Mode or to run Python as an administrator. In order to see activate developer mode, see this article: https://docs.microsoft.com/en-us/windows/apps/get-started/enable-your-device-for-development\n",
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" warnings.warn(message)\n",
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"Some weights of OpenAIGPTLMHeadModel were not initialized from the model checkpoint at openai-gpt and are newly initialized: ['position_ids']\n",
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"You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.\n",
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"Downloading (…)neration_config.json: 100%|██████████| 74.0/74.0 [00:00<00:00, 48.8kB/s]\n",
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"Downloading (…)olve/main/vocab.json: 100%|██████████| 816k/816k [00:00<00:00, 1.76MB/s]\n",
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"Downloading (…)olve/main/merges.txt: 100%|██████████| 458k/458k [00:00<00:00, 1.11MB/s]\n",
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"Downloading (…)/main/tokenizer.json: 100%|██████████| 1.27M/1.27M [00:00<00:00, 2.12MB/s]\n",
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"Xformers is not installed correctly. If you want to use memory_efficient_attention to accelerate training use the following command to install Xformers\n",
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"pip install xformers.\n"
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]
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},
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{
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"data": {
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"text/plain": [
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"[{'generated_text': \"Hello! I am a neural network, and I want to say that i apologize for not coming to you yourself, for not helping you, and that i was too busy getting dressed and studying for a midterm. you know, the kind where the teachers are like that and they come in pairs with their boyfriends, but not with theirs. it's true, that i have had a girlfriend, and i'm only going on wednesdays and thursdays because i was too busy with college, but maybe\"},\n",
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" {'generated_text': 'Hello! I am a neural network, and I want to say that we have been blessed with a wonderful gift ; no one of us has died at all. and our spirits are strong, very strong. in one very lucky moment of luck for you, all has been given direction and destiny, and for us there are no more mysteries. the earth has been chosen for you, and that earth is now ours, and you must be forever in our hearts. \" \\n the words, as one,'},\n",
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" {'generated_text': 'Hello! I am a neural network, and I want to say that if you would just turn and face the general, you would have a nice day. \" \\n \" sure thing, \" said one of the soldiers, and started to run. the rest of the soldiers followed, shouting. the general turned to general zulu, raising his arm. the general said something in his native language, and the general immediately started to run. zulu started to move toward the wall, with the'},\n",
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" {'generated_text': 'Hello! I am a neural network, and I want to say that i am not a doctor but an anthropologist to you, a specialist, a specialist in the field of astrobiological biology, and that i am very much involved in this investigation. i am not sure, i am not certain, but i can confirm your conclusions and therefore i will go to the top. i have a colleague who has just returned from this expedition and his findings confirm that you are a specialist. that is, he'},\n",
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" {'generated_text': \"Hello! I am a neural network, and I want to say that everyone here is in agreement that no matter how many times i say to myself,'he was never a man of action on the battlefield,'or'he 'll never take a chance at killing any civilians,'or'he 'll never let his men go undefended against enemy forces of this caliber,'or'that's just what i need in a day like today. \\n you see, there are only three groups that\"}]"
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]
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},
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"execution_count": 1,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"from transformers import pipeline\n",
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"\n",
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"model_name = 'openai-gpt' \n",
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"\n",
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"generator = pipeline('text-generation', model=model_name)\n",
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"\n",
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"generator(\"Hello! I am a neural network, and I want to say that\", max_length=100, num_return_sequences=5)\n"
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]
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},
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{
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"attachments": {},
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Kỹ thuật tạo yêu cầu\n",
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"\n",
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"Trong một số vấn đề, bạn có thể sử dụng việc tạo nội dung từ openai-gpt ngay lập tức bằng cách thiết kế các yêu cầu đúng. Hãy xem các ví dụ dưới đây:\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"[{'generated_text': 'Synonyms of a word cat: the same cat i used to stare at, and you in'},\n",
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" {'generated_text': 'Synonyms of a word cat: cat of the woods, cat of the hills, cat of'},\n",
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" {'generated_text': 'Synonyms of a word cat: you! \\n \" it\\'s a girl. \" i said'},\n",
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" {'generated_text': \"Synonyms of a word cat: big cat. but how come, we didn't hear it\"},\n",
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" {'generated_text': 'Synonyms of a word cat: \" mea - o - c \" which makes them sound'}]"
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]
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},
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"execution_count": 2,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"generator(\"Synonyms of a word cat:\", max_length=20, num_return_sequences=5)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"[{'generated_text': 'I love when you say this -> Positive\\nI have myself -> Negative\\nThis is awful for you to say this -> positive this is so horrible - > positive that your brother is gay - >'},\n",
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" {'generated_text': 'I love when you say this -> Positive\\nI have myself -> Negative\\nThis is awful for you to say this -> negative i will bring this on you -, < positive am i, i'},\n",
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" {'generated_text': 'I love when you say this -> Positive\\nI have myself -> Negative\\nThis is awful for you to say this -> negative i have self - esteem i must take it - : \\n - -'},\n",
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" {'generated_text': 'I love when you say this -> Positive\\nI have myself -> Negative\\nThis is awful for you to say this -> negative this is - : \\n if it were true that the devil would have'},\n",
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" {'generated_text': \"I love when you say this -> Positive\\nI have myself -> Negative\\nThis is awful for you to say this -> positive i have you - > positive it's a bad thing, > positive\"}]"
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]
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},
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"execution_count": 3,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"generator(\"I love when you say this -> Positive\\nI have myself -> Negative\\nThis is awful for you to say this ->\", max_length=40, num_return_sequences=5)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"[{'generated_text': 'Translate English to French: cat => chat, dog => chien, student => new and unusual. there were no more words to be'},\n",
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" {'generated_text': 'Translate English to French: cat => chat, dog => chien, student => student \\n his eyes were huge in his lean face as'},\n",
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" {'generated_text': \"Translate English to French: cat => chat, dog => chien, student => the teacher's words, their words, their words.\"}]"
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]
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},
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"execution_count": 4,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"generator(\"Translate English to French: cat => chat, dog => chien, student => \", top_k=50, max_length=30, num_return_sequences=3)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"[{'generated_text': 'People who liked the movie The Matrix also liked it, and there was the movie of the first man after us. \\n i wanted to laugh at how stupid these stupid actors were. no, they were'},\n",
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" {'generated_text': \"People who liked the movie The Matrix also liked the movie, and the film was the result. and that's when the man in the story was brought into reality, after a few decades. \\n a\"},\n",
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" {'generated_text': 'People who liked the movie The Matrix also liked the movie the matrix, because there was a very old movie movie called the matrix, where there was a great super hero, and the super hero came out'},\n",
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" {'generated_text': \"People who liked the movie The Matrix also liked the movie that didn't have a chance to pay cash, if they could afford it. most often they got a good deal and a lot of money,\"},\n",
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" {'generated_text': \"People who liked the movie The Matrix also liked the movie, and i didn't seem to have the same problem. \\n i 'd met the other half of my family. i spent most of my time\"}]"
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]
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},
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"execution_count": 5,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"generator(\"People who liked the movie The Matrix also liked \", max_length=40, num_return_sequences=5)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Chiến lược Lấy mẫu Văn bản\n",
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"\n",
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"Cho đến nay, chúng ta đã sử dụng chiến lược lấy mẫu **tham lam** đơn giản, khi chọn từ tiếp theo dựa trên xác suất cao nhất. Đây là cách nó hoạt động:\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 6,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"[{'generated_text': 'It was early evening when I can back from work. I usually work late, but this time it was an exception. When I entered a room, I saw my friend, a young man, sprawled across the bed in his bed. \\n \" hi, i\\'m mike eptirard. \" \\n there was silence on the other side of the door. i listened for any trace of life but there was nothing. my heart began to pound, i was starting to sweat, i took out my wallet'},\n",
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" {'generated_text': 'It was early evening when I can back from work. I usually work late, but this time it was an exception. When I entered a room, I saw my mother on the bed, hugging her legs to her chest and sobbing. i saw my dad and mother from the corner of my eye. \\n elfin face was covered in tears as i entered the room. my dad and mother also wept ; just as they did every other time i came to work. but this time, they had different faces'},\n",
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" {'generated_text': 'It was early evening when I can back from work. I usually work late, but this time it was an exception. When I entered a room, I saw the room had changed because it was dark. it still smelled like a hospital. a new light shined through from a vent in the ceiling. i found myself in a bathroom and a small room with a sink and a wall of glass. the bathroom billion years ago. not so different from all of the rest of the apartment. \\n now...'},\n",
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" {'generated_text': 'It was early evening when I can back from work. I usually work late, but this time it was an exception. When I entered a room, I saw a large woman with dark hair and pale skin. she was asleep, but i noticed a faint movement of her face. i could sense she was awake. i got up and walked over to her. \\n \" hello miss. i am inspector michael o\\'dell ; we are investigating the case against you. i wanted to ask if you were the'},\n",
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" {'generated_text': 'It was early evening when I can back from work. I usually work late, but this time it was an exception. When I entered a room, I saw i had an empty table and three empty chairs. that was all i needed. i had left a note on a table in the center of the room and had a pen in hand. \" \\n \" i think what you were doing was something he was doing to her. \" \\n \" yeah, \" i nodded with a grin. \" i'}]"
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]
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},
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"execution_count": 6,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"prompt = \"It was early evening when I can back from work. I usually work late, but this time it was an exception. When I entered a room, I saw\"\n",
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"generator(prompt,max_length=100,num_return_sequences=5)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"**Tìm kiếm chùm tia** cho phép trình tạo khám phá nhiều hướng (*chùm tia*) của việc tạo văn bản và chọn những hướng có điểm tổng thể cao hơn. Bạn có thể thực hiện tìm kiếm chùm tia bằng cách cung cấp tham số `num_beams`. Bạn cũng có thể chỉ định `no_repeat_ngram_size` để phạt mô hình vì lặp lại các n-gram có kích thước nhất định:\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 7,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"[{'generated_text': 'It was early evening when I can back from work. I usually work late, but this time it was an exception. When I entered a room, I saw a man sitting in a chair with his head in his hands. he didn\\'t look up as i approached. \\n \" excuse me, sir, \" i said. \" can i help you? \" \\n the man looked up at me. his eyes were red - rimmed and his face was pale, as if he hadn\\'t slept in days'},\n",
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" {'generated_text': 'It was early evening when I can back from work. I usually work late, but this time it was an exception. When I entered a room, I saw a man sitting at a desk in the middle of the room. he had his back to me, so i couldn\\'t see what he was doing. \" \\n \" what did he look like? \" i asked as i sat down on the bed next to her. \\n she took a deep breath and looked at me with tears in her eyes'},\n",
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" {'generated_text': 'It was early evening when I can back from work. I usually work late, but this time it was an exception. When I entered a room, I saw a woman sitting on the bed, reading a book. she looked up at me and smiled. \\n \" hi, \" she said. \" can i help you? \" \\n i sat down next to her and looked around the room. the walls were white, and there was a large window in the middle of the wall that looked out on'},\n",
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" {'generated_text': 'It was early evening when I can back from work. I usually work late, but this time it was an exception. When I entered a room, I saw a man sitting at a table in the middle of the room. he looked up as i walked in, and when he saw me, he got up and walked over to me. \\n \" can i help you? \" he asked as he put his hand on the small of my back and led me to a chair at the other end of'},\n",
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" {'generated_text': 'It was early evening when I can back from work. I usually work late, but this time it was an exception. When I entered a room, I saw a woman sitting on the edge of her bed, reading a book. she looked up at me and smiled. \\n \" hello, \" she said. \" can i help you? \" \\n i didn\\'t know what to say, so i just sat down in the chair next to the bed and looked at her. her hair was dark brown'}]"
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]
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},
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"execution_count": 7,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"prompt = \"It was early evening when I can back from work. I usually work late, but this time it was an exception. When I entered a room, I saw\"\n",
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"generator(prompt,max_length=100,num_return_sequences=5,num_beams=10,no_repeat_ngram_size=2)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"**Lấy mẫu** chọn từ tiếp theo một cách không xác định, sử dụng phân phối xác suất được trả về bởi mô hình. Bạn bật lấy mẫu bằng cách sử dụng tham số `do_sample=True`. Bạn cũng có thể chỉ định `temperature` để làm cho mô hình ít hoặc nhiều xác định hơn.\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 8,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"[{'generated_text': 'It was early evening when I can back from work. I usually work late, but this time it was an exception. When I entered a room, I saw her. she was on the bed, but she looked very different. \\n \" honey, what\\'s the matter? \" i asked. \\n she sat up. \" i can\\'t believe it\\'s real. i\\'ve been dreaming about you for the last two days. \" \\n \" i can\\'t believe it either. i guess that\\'s how'}]"
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]
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},
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"execution_count": 8,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"prompt = \"It was early evening when I can back from work. I usually work late, but this time it was an exception. When I entered a room, I saw\"\n",
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"generator(prompt,max_length=100,do_sample=True,temperature=0.8)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Chúng ta cũng có thể cung cấp thêm các tham số bổ sung cho sampling: \n",
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"* `top_k` xác định số lượng tùy chọn từ để xem xét khi sử dụng sampling. Điều này giảm thiểu khả năng xuất hiện các từ kỳ lạ (có xác suất thấp) trong văn bản của chúng ta. \n",
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"* `top_p` tương tự, nhưng chúng ta chọn tập hợp nhỏ nhất của các từ có xác suất cao nhất, với tổng xác suất lớn hơn p. \n",
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"\n",
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"Hãy thoải mái thử nghiệm thêm các tham số này vào. \n"
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]
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},
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{
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"attachments": {},
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Tinh chỉnh mô hình của bạn\n",
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"\n",
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"Bạn cũng có thể [tinh chỉnh mô hình của mình](https://learn.microsoft.com/en-us/azure/cognitive-services/openai/how-to/fine-tuning?pivots=programming-language-studio?WT.mc_id=academic-77998-bethanycheum) trên tập dữ liệu của riêng bạn. Điều này sẽ cho phép bạn điều chỉnh phong cách văn bản, trong khi vẫn giữ nguyên phần lớn của mô hình ngôn ngữ.\n"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"\n---\n\n**Tuyên bố miễn trừ trách nhiệm**: \nTài liệu này đã được dịch bằng dịch vụ dịch thuật AI [Co-op Translator](https://github.com/Azure/co-op-translator). Mặc dù chúng tôi cố gắng đảm bảo độ chính xác, xin lưu ý rằng các bản dịch tự động có thể chứa lỗi hoặc không chính xác. Tài liệu gốc bằng ngôn ngữ bản địa nên được coi là nguồn thông tin chính thức. Đối với các thông tin quan trọng, khuyến nghị sử dụng dịch vụ dịch thuật chuyên nghiệp từ con người. Chúng tôi không chịu trách nhiệm về bất kỳ sự hiểu lầm hoặc diễn giải sai nào phát sinh từ việc sử dụng bản dịch này.\n"
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