 ดูใน ai.google.dev
|
 ลองใช้ Colab Notebook
|
 ดูสมุดบันทึกใน GitHub
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หากต้องการทดลองใช้ PaLM API อย่างรวดเร็ว คุณสามารถ ใช้คำสั่ง curl เพื่อเรียกใช้เมธอดใน REST API ตัวอย่างต่อไปนี้ แสดงการเรียกสำหรับเมธอด API แต่ละเมธอด คุณต้องระบุคำสั่ง curl แต่ละรายการ ชื่อโมเดลและคีย์ API โปรดดูหัวข้อรับคีย์ 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
เพื่อสร้างการตอบสนองจากโมเดลที่ได้รับข้อความอินพุต
!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"
}
]
}
]
}
ตัวอย่างต่อไปนี้ระบุค่าสำหรับพารามิเตอร์ทั้งหมดของ
เมธอด 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"
}
]
}
]
}
ค่าพารามิเตอร์มีความหมายดังนี้
safetySettings: ลดเกณฑ์ความปลอดภัยสำหรับความเป็นอันตรายเพื่อบล็อกเฉพาะอันตรายที่อาจเกิดขึ้นสูงเท่านั้น เอาต์พุตstopSequences: ใช้ลำดับการหยุดเพื่อสร้างเนื้อหาเพียง 1 ชื่อโดยหยุดเอาต์พุตที่ อินสแตนซ์ถัดไปของTitletemperature: ตั้งอุณหภูมิเป็น 1.0 เมื่อสร้างคำตอบcandidate_count: แสดงคำตอบจากผู้สมัคร 3 รายการเท่านั้นmaxOutputTokens: แสดงผลโทเค็นได้สูงสุด 800 รายการtopP: พิจารณาเฉพาะโทเค็นยอดนิยม 80% แรกที่โมเดลส่งคืนมาtopK: พิจารณาโทเค็น 10 อันดับแรกเมื่อสุ่มตัวอย่าง
ดูข้อมูลเพิ่มเติมเกี่ยวกับพารามิเตอร์เหล่านี้ในข้อมูลอ้างอิง API
สำหรับ generateText
สร้างข้อความ
ใช้generateMessage
เมธอดในการสร้างการตอบสนองจากโมเดล
สำหรับอินพุต MessagePrompt
!curl https://generativelanguage.googleapis.com/v1beta2/models/chat-bison-001:generateMessage?key=$PALM_API_KEY \
-H 'Content-Type: application/json' \
-X POST \
-d '{ \
"prompt": {"messages": [{"content":"hi"}]} \
}'
{
"candidates": [
{
"author": "1",
"content": "Hi! How can I help you today?"
}
],
"messages": [
{
"author": "0",
"content": "hi"
}
]
}
ตัวอย่างต่อไปนี้แสดงการเรียกใช้ที่มีค่าแตกต่างกันสำหรับพารามิเตอร์
!curl https://generativelanguage.googleapis.com/v1beta2/models/chat-bison-001:generateMessage?key=$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"
}
]
}
ค่าพารามิเตอร์มีความหมายดังนี้
temperature: ตั้งอุณหภูมิเป็น 0.1 เมื่อสร้างคำตอบcandidate_count: แสดงผลคำตอบของผู้สมัครเพียง 1 รายการtopP: พิจารณาเฉพาะโทเค็นยอดนิยม 80% แรกที่โมเดลส่งคืนมาtopK: พิจารณาโทเค็น 10 อันดับแรกเมื่อสุ่มตัวอย่าง
ดูข้อมูลเพิ่มเติมเกี่ยวกับพารามิเตอร์เหล่านี้ในข้อมูลอ้างอิง API
สำหรับ generateMessage
ฝังข้อความ
ใช้เมธอด embedText เพื่อ
สร้างการฝังจากโมเดลที่ได้รับข้อความอินพุต
!curl https://generativelanguage.googleapis.com/v1beta2/models/embedding-gecko-001:embedText?key=$PALM_API_KEY \
-H 'Content-Type: application/json' \
-X POST \
-d '{"text": "say something nice!"}'
{
"embedding": {
"value": [
0.0011238843,
-0.040586308,
-0.013174802,
0.015497498,
0.04383781,
0.012527679,
0.017876161,
0.031339817,
-0.0042566974,
-0.024129443,
-0.023050068,
-0.015625203,
0.03501345,
-0.006033779,
-0.011984176,
-0.033368077,
-0.040653296,
0.022117265,
-0.02034076,
-0.040752005,
-0.12748374,
0.029760985,
0.00084632,
-0.017502416,
-0.03893842,
-0.07151896,
0.0609997,
-0.0046266303,
-0.044301335,
-0.022592714,
0.023920823,
0.0020489343,
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0.007275116,
0.018562535,
0.017131427,
-0.00043720857,
0.02810143,
0.053296003,
0.031831037,
-0.067091785,
0.015640317,
-0.0036152988,
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-0.0083763655,
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0.0044321134,
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0.058129285,
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0.00432678,
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0.028027585,
0.04006542,
0.03904733,
-0.041794587,
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0.05953402,
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0.035000943,
-0.06702403,
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0.0036005897,
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}
}
นับโทเค็นของข้อความ
ใช้เมนู
countMessageTokens
ในการเรียกใช้เครื่องมือแปลงข้อมูลเป็นโทเค็นของโมเดลในข้อความ
สตริงที่แสดงข้อความ และรับจำนวนโทเค็น
!curl https://generativelanguage.googleapis.com/v1beta2/models/chat-bison-001:countMessageTokens?key=$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 เพื่อรับข้อมูลเกี่ยวกับโมเดลเฉพาะ 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"
]
}
]
}