Google AI
關於如何使用 Google Generative AI 模型搭配 Langchain 使用的指南。請注意：這與 Google Cloud Vertex AI 整合 是分開的。
設定
要使用 Google Generative AI，您必須安裝 langchain-google-genai Python 套件並產生 API 金鑰。 閱讀更多細節。
%pip install --upgrade --quiet langchain-google-genai
from langchain_google_genai import GoogleGenerativeAI
API 參考文件：GoogleGenerativeAI
from getpass import getpass
api_key = getpass()
llm = GoogleGenerativeAI(model="models/text-bison-001", google_api_key=api_key)
print(
llm.invoke(
"What are some of the pros and cons of Python as a programming language?"
)
)
**Pros of Python:**
* **Easy to learn:** Python is a very easy-to-learn programming language, even for beginners. Its syntax is simple and straightforward, and there are a lot of resources available to help you get started.
* **Versatile:** Python can be used for a wide variety of tasks, including web development, data science, and machine learning. It's also a good choice for beginners because it can be used for a variety of projects, so you can learn the basics and then move on to more complex tasks.
* **High-level:** Python is a high-level programming language, which means that it's closer to human language than other programming languages. This makes it easier to read and understand, which can be a big advantage for beginners.
* **Open-source:** Python is an open-source programming language, which means that it's free to use and there are a lot of resources available to help you learn it.
* **Community:** Python has a large and active community of developers, which means that there are a lot of people who can help you if you get stuck.
**Cons of Python:**
* **Slow:** Python is a relatively slow programming language compared to some other languages, such as C++. This can be a disadvantage if you're working on computationally intensive tasks.
* **Not as performant:** Python is not as performant as some other programming languages, such as C++ or Java. This can be a disadvantage if you're working on projects that require high performance.
* **Dynamic typing:** Python is a dynamically typed programming language, which means that the type of a variable can change during runtime. This can be a disadvantage if you need to ensure that your code is type-safe.
* **Unmanaged memory:** Python uses a garbage collection system to manage memory. This can be a disadvantage if you need to have more control over memory management.
Overall, Python is a very good programming language for beginners. It's easy to learn, versatile, and has a large community of developers. However, it's important to be aware of its limitations, such as its slow performance and lack of performance.
llm = GoogleGenerativeAI(model="gemini-pro", google_api_key=api_key)
print(
llm.invoke(
"What are some of the pros and cons of Python as a programming language?"
)
)
**Pros:**
* **Simplicity and Readability:** Python is known for its simple and easy-to-read syntax, which makes it accessible to beginners and reduces the chance of errors. It uses indentation to define blocks of code, making the code structure clear and visually appealing.
* **Versatility:** Python is a general-purpose language, meaning it can be used for a wide range of tasks, including web development, data science, machine learning, and desktop applications. This versatility makes it a popular choice for various projects and industries.
* **Large Community:** Python has a vast and active community of developers, which contributes to its growth and popularity. This community provides extensive documentation, tutorials, and open-source libraries, making it easy for Python developers to find support and resources.
* **Extensive Libraries:** Python offers a rich collection of libraries and frameworks for various tasks, such as data analysis (NumPy, Pandas), web development (Django, Flask), machine learning (Scikit-learn, TensorFlow), and many more. These libraries provide pre-built functions and modules, allowing developers to quickly and efficiently solve common problems.
* **Cross-Platform Support:** Python is cross-platform, meaning it can run on various operating systems, including Windows, macOS, and Linux. This allows developers to write code that can be easily shared and used across different platforms.
**Cons:**
* **Speed and Performance:** Python is generally slower than compiled languages like C++ or Java due to its interpreted nature. This can be a disadvantage for performance-intensive tasks, such as real-time systems or heavy numerical computations.
* **Memory Usage:** Python programs tend to consume more memory compared to compiled languages. This is because Python uses a dynamic memory allocation system, which can lead to memory fragmentation and higher memory usage.
* **Lack of Static Typing:** Python is a dynamically typed language, which means that data types are not explicitly defined for variables. This can make it challenging to detect type errors during development, which can lead to unexpected behavior or errors at runtime.
* **GIL (Global Interpreter Lock):** Python uses a global interpreter lock (GIL) to ensure that only one thread can execute Python bytecode at a time. This can limit the scalability and parallelism of Python programs, especially in multi-threaded or multiprocessing scenarios.
* **Package Management:** While Python has a vast ecosystem of libraries and packages, managing dependencies and package versions can be challenging. The Python Package Index (PyPI) is the official repository for Python packages, but it can be difficult to ensure compatibility and avoid conflicts between different versions of packages.
在鏈條中使用
from langchain_core.prompts import PromptTemplate
API 參考文件：PromptTemplate
template = """Question: {question}
Answer: Let's think step by step."""
prompt = PromptTemplate.from_template(template)
chain = prompt | llm
question = "How much is 2+2?"
print(chain.invoke({"question": question}))
4
串流呼叫
import sys
for chunk in llm.stream("Tell me a short poem about snow"):
sys.stdout.write(chunk)
sys.stdout.flush()
In winter's embrace, a silent ballet,
Snowflakes descend, a celestial display.
Whispering secrets, they softly fall,
A blanket of white, covering all.
With gentle grace, they paint the land,
Transforming the world into a winter wonderland.
Trees stand adorned in icy splendor,
A glistening spectacle, a sight to render.
Snowflakes twirl, like dancers on a stage,
Creating a symphony, a winter montage.
Their silent whispers, a sweet serenade,
As they dance and twirl, a snowy cascade.
In the hush of dawn, a frosty morn,
Snow sparkles bright, like diamonds reborn.
Each flake unique, in its own design,
A masterpiece crafted by the divine.
So let us revel in this wintry bliss,
As snowflakes fall, with a gentle kiss.
For in their embrace, we find a peace profound,
A frozen world, with magic all around.
安全設定
Gemini 模型具有預設的安全設定，可以被覆蓋。如果您從模型收到大量「安全警告」，您可以嘗試調整模型的 safety_settings 屬性。例如，要關閉危險內容的安全封鎖，您可以如下建構您的 LLM
from langchain_google_genai import GoogleGenerativeAI, HarmBlockThreshold, HarmCategory
llm = GoogleGenerativeAI(
model="gemini-pro",
google_api_key=api_key,
safety_settings={
HarmCategory.HARM_CATEGORY_DANGEROUS_CONTENT: HarmBlockThreshold.BLOCK_NONE,
},
)
如需可用類別和閾值的列舉，請參閱 Google 的 安全設定類型。