LangChain installation and setup in Prompt Engineering / GenAI - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to install LangChain using pip.

Prompt Engineering / GenAI

pip install [1]

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Ascikit-learn

Bnumpy

Ctensorflow

Dlangchain

Attempts:

3 left

💡 Hint

Common Mistakes

Trying to install unrelated packages like numpy or tensorflow.

Misspelling the package name.

To install LangChain, use pip install langchain. This command downloads and installs the LangChain library.

2fill in blank

medium

Complete the code to import the main LangChain class for building chains.

Prompt Engineering / GenAI

from langchain.chains import [1]

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ALLMChain

BChain

CTextChain

DModelChain

Attempts:

3 left

💡 Hint

Common Mistakes

Using a class name that does not exist like Chain or TextChain.

Confusing the class name with other LangChain components.

The main class to build language model chains in LangChain is LLMChain. Import it from langchain.chains.

3fill in blank

hard

Fix the error in the code to create a LangChain LLMChain with an OpenAI model.

Prompt Engineering / GenAI

from langchain.llms import OpenAI
llm = OpenAI(model_name=[1])
chain = LLMChain(llm=llm, prompt=prompt)

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A'text-davinci-003'

B'gpt-3.5-turbo'

C'openai-gpt'

Attempts:

3 left

💡 Hint

Common Mistakes

Not using quotes around the model name string.

Using an invalid or unsupported model name.

The model_name parameter requires a string with the exact model name. 'text-davinci-003' is a valid OpenAI model name for LangChain.

4fill in blank

hard

Fill both blanks to create a prompt template and initialize an LLMChain with it.

Prompt Engineering / GenAI

from langchain.prompts import [1]
prompt = [2](template="Hello, {{name}}!")
chain = LLMChain(llm=llm, prompt=prompt)

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APromptTemplate

BPrompt

CTemplatePrompt

DChainPrompt

Attempts:

3 left

💡 Hint

Common Mistakes

Using incorrect class names like Prompt or ChainPrompt.

Importing one name but using another.

The class to create prompt templates in LangChain is PromptTemplate. Use it to define the prompt with placeholders.

5fill in blank

hard

Fill all three blanks to run the chain and print the output.

Prompt Engineering / GenAI

input_data = [1](name="Alice")
result = chain.[2](input_data)
print(result[[3]])

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Adict

Binvoke

C'text'

Dexecute

Attempts:

3 left

💡 Hint

Common Mistakes

Passing input as a list or other type instead of dict.

Using wrong method names like execute instead of invoke.

Accessing result with wrong keys.

Input data should be a dictionary. Use chain.invoke() to execute the chain. The result is accessed by the key 'text'.