 ดูใน ai.google.dev
|
 เรียกใช้ใน Google Colab
|
 ดูซอร์สบน GitHub
|
หากต้องการลองใช้ PaLM API อย่างรวดเร็ว คุณสามารถใช้คำสั่ง curl เพื่อเรียกใช้เมธอดใน REST API ตัวอย่างต่อไปนี้แสดงการเรียกสำหรับเมธอด API แต่ละวิธี สำหรับคำสั่ง curl แต่ละรายการ คุณต้องระบุชื่อโมเดลและคีย์ API โปรดดูหน้ารับคีย์ API หากยังไม่มี
"""
Add your API key and run this cell to set the PALM_API_KEY variable if
running in Colab.
(In a terminal you can just run PALM_API_KEY=<your API key>)
"""
import os
os.environ['PALM_API_KEY'] = ""
สร้างข้อความ
ใช้เมธอด generate_text เพื่อสร้างคำตอบจากโมเดลตามข้อความอินพุต
!curl https://generativelanguage.googleapis.com/v1beta2/models/text-bison-001:generateText?key=$PALM_API_KEY \
-H 'Content-Type: application/json' \
-X POST \
-d '{ \
"prompt": { \
"text": "Write a story about a magic backpack." \
} \
}'
{
"candidates": [
{
"output": "Once upon a time, there was a young girl named Lily who loved to explore. She would spend hours wandering through the forest near her house, looking for new and exciting things. One day, Lily was exploring a particularly dense part of the forest when she came across a strange backpack. It was sitting on a rock, and it looked like it had been abandoned.\n\nLily picked up the backpack and examined it. It was made of a strange, silvery material that she had never seen before. There were no zippers or buttons, but the backpack seemed to be open. Lily reached inside, and she was surprised to find that it was full of all sorts of amazing things.\n\nThere were books that could tell her anything she wanted to know, tools that could fix anything she broke, and clothes that could keep her warm or cool no matter what the weather. Lily was amazed by the backpack's contents, and she knew that she had found something truly special.\n\nLily decided to take the backpack home with her, and she quickly discovered that it was even more magical than she had thought. The backpack could transport her to any place she wanted to go, and it could provide her with anything she needed. Lily used the backpack to travel the world, and she had many amazing adventures.\n\nOne day, Lily was using the backpack to explore a new planet when she came across a group of people who were in trouble. The people were being held captive by a cruel wizard, and Lily knew that she had to help them. She used the backpack to create a distraction, and then she rescued the people and led them to safety.\n\nThe people were so grateful to Lily for saving them, and they told her that she was a true hero. Lily was happy to have helped, and she knew that she would continue to use the backpack to help others in need.\n\nLily's magic backpack continued to accompany her on many more adventures. She used it to help people in need, to explore new worlds, and to learn about all sorts of amazing things. Lily's backpack was a constant source of joy and inspiration, and she was grateful for the many ways that it had enriched her life.",
"safetyRatings": [
{
"category": "HARM_CATEGORY_DEROGATORY",
"probability": "NEGLIGIBLE"
},
{
"category": "HARM_CATEGORY_TOXICITY",
"probability": "NEGLIGIBLE"
},
{
"category": "HARM_CATEGORY_VIOLENCE",
"probability": "NEGLIGIBLE"
},
{
"category": "HARM_CATEGORY_SEXUAL",
"probability": "NEGLIGIBLE"
},
{
"category": "HARM_CATEGORY_MEDICAL",
"probability": "NEGLIGIBLE"
},
{
"category": "HARM_CATEGORY_DANGEROUS",
"probability": "NEGLIGIBLE"
}
]
}
]
}
ตัวอย่างต่อไปนี้ระบุค่าสำหรับพารามิเตอร์ทั้งหมดของเมธอด generate_text
!curl https://generativelanguage.googleapis.com/v1beta2/models/text-bison-001:generateText?key=$PALM_API_KEY \
-H 'Content-Type: application/json' \
-X POST \
-d '{ \
"prompt": { \
"text": "Give an example of a title for a story about a magic backpack. \
Title: " \
}, \
"safetySettings": [ \
{ \
"category": "HARM_CATEGORY_TOXICITY", \
"threshold": "BLOCK_ONLY_HIGH" \
} \
], \
"stopSequences": [ \
"Title" \
], \
"temperature": 1.0, \
"candidate_count": 3, \
"maxOutputTokens": 800, \
"topP": 0.8, \
"topK": 10 \
}'
{
"candidates": [
{
"output": "The Backpack of Holding",
"safetyRatings": [
{
"category": "HARM_CATEGORY_DEROGATORY",
"probability": "NEGLIGIBLE"
},
{
"category": "HARM_CATEGORY_TOXICITY",
"probability": "NEGLIGIBLE"
},
{
"category": "HARM_CATEGORY_VIOLENCE",
"probability": "NEGLIGIBLE"
},
{
"category": "HARM_CATEGORY_SEXUAL",
"probability": "NEGLIGIBLE"
},
{
"category": "HARM_CATEGORY_MEDICAL",
"probability": "NEGLIGIBLE"
},
{
"category": "HARM_CATEGORY_DANGEROUS",
"probability": "NEGLIGIBLE"
}
]
},
{
"output": "The Backpack of Holding",
"safetyRatings": [
{
"category": "HARM_CATEGORY_DEROGATORY",
"probability": "NEGLIGIBLE"
},
{
"category": "HARM_CATEGORY_TOXICITY",
"probability": "NEGLIGIBLE"
},
{
"category": "HARM_CATEGORY_VIOLENCE",
"probability": "NEGLIGIBLE"
},
{
"category": "HARM_CATEGORY_SEXUAL",
"probability": "NEGLIGIBLE"
},
{
"category": "HARM_CATEGORY_MEDICAL",
"probability": "NEGLIGIBLE"
},
{
"category": "HARM_CATEGORY_DANGEROUS",
"probability": "NEGLIGIBLE"
}
]
},
{
"output": "The Backpack of Holding",
"safetyRatings": [
{
"category": "HARM_CATEGORY_DEROGATORY",
"probability": "NEGLIGIBLE"
},
{
"category": "HARM_CATEGORY_TOXICITY",
"probability": "NEGLIGIBLE"
},
{
"category": "HARM_CATEGORY_VIOLENCE",
"probability": "NEGLIGIBLE"
},
{
"category": "HARM_CATEGORY_SEXUAL",
"probability": "NEGLIGIBLE"
},
{
"category": "HARM_CATEGORY_MEDICAL",
"probability": "NEGLIGIBLE"
},
{
"category": "HARM_CATEGORY_DANGEROUS",
"probability": "NEGLIGIBLE"
}
]
}
]
}
ค่าพารามิเตอร์มีความหมายดังต่อไปนี้
safetySettings: ลดเกณฑ์ความปลอดภัยสำหรับเนื้อหาเป็นพิษเพื่อบล็อกเฉพาะผลลัพธ์ที่น่าจะเป็นพิษสูงstopSequences: ใช้ลำดับการหยุดเพื่อสร้างเพียง 1 ชื่อ โดยหยุดเอาต์พุตในอินสแตนซ์ถัดไปของTitletemperature: ตั้งอุณหภูมิเป็น 1.0 เมื่อสร้างคำตอบcandidate_count: ส่งคืนคำตอบของผู้สมัครเพียง 3 รายการmaxOutputTokens: แสดงผลโทเค็นได้สูงสุด 800 รายการtopP: ลองพิจารณาเฉพาะโทเค็น 80% แรกที่โมเดลส่งคืนมาเท่านั้นtopK: พิจารณาโทเค็น 10 อันดับแรกเมื่อสุ่มตัวอย่าง
ดูข้อมูลเพิ่มเติมเกี่ยวกับพารามิเตอร์เหล่านี้ในการอ้างอิง API สำหรับเมธอด generateText
สร้างข้อความ
ใช้วิธีการ generateMessage เพื่อสร้างคําตอบจากโมเดลจากอินพุต MessagePrompt
!curl https://generativelanguage.googleapis.com/v1beta2/models/chat-bison-001:generateMessage?key=$PALM_API_KEY \
-H 'Content-Type: application/json' \
-X POST \
-d '{ \
"prompt": {"messages": [{"content":"hi"}]} \
}'
{
"candidates": [
{
"author": "1",
"content": "Hi! How can I help you today?"
}
],
"messages": [
{
"author": "0",
"content": "hi"
}
]
}
ตัวอย่างต่อไปนี้แสดงการเรียกใช้ที่มีค่าพารามิเตอร์ต่างกัน
!curl https://generativelanguage.googleapis.com/v1beta2/models/chat-bison-001:generateMessage?key=$PALM_API_KEY \
-H 'Content-Type: application/json' \
-X POST \
-d '{ \
"prompt": {"messages": [{"content":"hi"}]}, \
"temperature": 0.1, \
"candidate_count": 1, \
"topP": 0.8, \
"topK": 10}'
{
"candidates": [
{
"author": "1",
"content": "Hi! How can I help you today?"
}
],
"messages": [
{
"author": "0",
"content": "hi"
}
]
}
ค่าพารามิเตอร์มีความหมายดังต่อไปนี้
temperature: ตั้งอุณหภูมิเป็น 0.1 เมื่อสร้างคำตอบcandidate_count: แสดงคำตอบเพียง 1 คำตอบtopP: ลองพิจารณาเฉพาะโทเค็น 80% แรกที่โมเดลส่งคืนมาเท่านั้นtopK: พิจารณาโทเค็น 10 อันดับแรกเมื่อสุ่มตัวอย่าง
ดูข้อมูลเพิ่มเติมเกี่ยวกับพารามิเตอร์เหล่านี้ในการอ้างอิง API สำหรับเมธอด generateMessage
ฝังข้อความ
ใช้เมธอด embedText เพื่อสร้างการฝังจากโมเดลตามข้อความอินพุต
!curl https://generativelanguage.googleapis.com/v1beta2/models/embedding-gecko-001:embedText?key=$PALM_API_KEY \
-H 'Content-Type: application/json' \
-X POST \
-d '{"text": "say something nice!"}'
{
"embedding": {
"value": [
0.0011238843,
-0.040586308,
-0.013174802,
0.015497498,
0.04383781,
0.012527679,
0.017876161,
0.031339817,
-0.0042566974,
-0.024129443,
-0.023050068,
-0.015625203,
0.03501345,
-0.006033779,
-0.011984176,
-0.033368077,
-0.040653296,
0.022117265,
-0.02034076,
-0.040752005,
-0.12748374,
0.029760985,
0.00084632,
-0.017502416,
-0.03893842,
-0.07151896,
0.0609997,
-0.0046266303,
-0.044301335,
-0.022592714,
0.023920823,
0.0020489343,
-0.0048049283,
-0.038431767,
0.007275116,
0.018562535,
0.017131427,
-0.00043720857,
0.02810143,
0.053296003,
0.031831037,
-0.067091785,
0.015640317,
-0.0036152988,
-0.04691379,
-0.044070054,
-0.022364588,
-0.0083763655,
-0.0490714,
-0.007302964,
0.006516001,
-0.004685413,
0.03979989,
-0.014196505,
0.01065721,
-0.0073698894,
-0.036348466,
-0.008763353,
-0.01892632,
-0.054501593,
0.032021806,
-0.007242739,
0.0220439,
-0.07687204,
-0.0740849,
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-0.027381063,
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-0.0732958,
-0.033732962,
0.0044321134,
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0.031492565,
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0.058129285,
-0.020901497,
0.00432678,
-0.014602101,
0.028027585,
0.04006542,
0.03904733,
-0.041794587,
-0.023020804,
0.05953402,
0.00020820377,
-0.04229413,
0.0012092285,
0.035000943,
-0.06702403,
-0.012794849,
0.0036005897,
0.023782397,
0.014083849,
-0.0036575894,
0.028294614,
-0.021102497,
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0.02430849,
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0.0015673019,
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0.017680017,
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}
}
นับโทเค็นข้อความ
ใช้วิธีการ countMessageTokens เพื่อเรียกใช้เครื่องมือแปลงข้อมูลเป็นโทเค็นของโมเดลในสตริงข้อความแจ้งและดูจํานวนโทเค็น
!curl https://generativelanguage.googleapis.com/v1beta2/models/chat-bison-001:countMessageTokens?key=$PALM_API_KEY \
-H 'Content-Type: application/json' \
-X POST \
-d '{ \
"prompt": { \
"messages": [ \
{"content":"How many tokens?"}, \
{"content":"For this whole conversation?"} \
] \
} \
}'
{
"tokenCount": 23
}
รับโมเดล
ใช้เมธอด get เพื่อรับข้อมูลเกี่ยวกับโมเดลที่เฉพาะเจาะจง เช่น เวอร์ชัน ชื่อที่แสดง ขีดจํากัดโทเค็นอินพุต ฯลฯ
curl https://generativelanguage.googleapis.com/v1beta2/models/text-bison-001?key=$PALM_API_KEY
{
"name": "models/text-bison-001",
"version": "001",
"displayName": "Text Bison",
"description": "Model targeted for text generation.",
"inputTokenLimit": 8196,
"outputTokenLimit": 1024,
"supportedGenerationMethods": [
"generateText"
],
"temperature": 0.7,
"topP": 0.95,
"topK": 40
}
แสดงรายการโมเดล
ใช้เมธอด list เพื่อแสดงโมเดลทั้งหมดที่พร้อมใช้งานผ่าน PaLM API
curl https://generativelanguage.googleapis.com/v1beta2/models?key=$PALM_API_KEY
{
"models": [
{
"name": "models/chat-bison-001",
"version": "001",
"displayName": "Chat Bison",
"description": "Chat-optimized generative language model.",
"inputTokenLimit": 4096,
"outputTokenLimit": 1024,
"supportedGenerationMethods": [
"generateMessage",
"countMessageTokens"
],
"temperature": 0.25,
"topP": 0.95,
"topK": 40
},
{
"name": "models/text-bison-001",
"version": "001",
"displayName": "Text Bison",
"description": "Model targeted for text generation.",
"inputTokenLimit": 8196,
"outputTokenLimit": 1024,
"supportedGenerationMethods": [
"generateText"
],
"temperature": 0.7,
"topP": 0.95,
"topK": 40
},
{
"name": "models/embedding-gecko-001",
"version": "001",
"displayName": "Embedding Gecko",
"description": "Obtain a distributed representation of a text.",
"inputTokenLimit": 1024,
"outputTokenLimit": 1,
"supportedGenerationMethods": [
"embedText"
]
}
]
}