Model parameters (temperature, max tokens) in LangChain - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to set the temperature parameter for the model.

LangChain

llm = OpenAI(temperature=[1])

Drag options to blanks, or click blank then click option'

A0.7

B'temperature'

CTrue

Dmax_tokens

Attempts:

3 left

💡 Hint

Common Mistakes

Using a string instead of a number for temperature.

Confusing temperature with max_tokens.

The temperature parameter controls randomness in the model's output. Setting it to 0.7 adds some creativity.

2fill in blank

medium

Complete the code to limit the maximum tokens the model can generate.

LangChain

llm = OpenAI(max_tokens=[1])

Drag options to blanks, or click blank then click option'

ATrue

Btemperature

C150

D'max_tokens'

Attempts:

3 left

💡 Hint

Common Mistakes

Using a string instead of a number for max_tokens.

Confusing max_tokens with temperature.

The max_tokens parameter limits how long the model's response can be. 150 tokens is a common limit.

3fill in blank

hard

Fix the error in setting both temperature and max_tokens in the model initialization.

LangChain

llm = OpenAI(temperature=0.5, [1]=100)

Drag options to blanks, or click blank then click option'

Atemperature

Bmax_tokens

CmaxToken

DmaxTokens

Attempts:

3 left

💡 Hint

Common Mistakes

Using camelCase like maxTokens instead of max_tokens.

Repeating temperature parameter.

The correct parameter name to limit tokens is max_tokens with an underscore.

4fill in blank

hard

Fill both blanks to create a model with temperature 0.3 and max tokens 200.

LangChain

llm = OpenAI(temperature=[1], max_tokens=[2])

Drag options to blanks, or click blank then click option'

A0.3

B0.7

C200

D150

Attempts:

3 left

💡 Hint

Common Mistakes

Swapping values between temperature and max_tokens.

Using strings instead of numbers.

Set temperature to 0.3 for less randomness and max_tokens to 200 to limit response length.

5fill in blank

hard

Fill all three blanks to create a model with temperature 0.9, max tokens 100, and verbose mode on.

LangChain

llm = OpenAI(temperature=[1], max_tokens=[2], verbose=[3])

Drag options to blanks, or click blank then click option'

AFalse

B100

CTrue

D0.9

Attempts:

3 left

💡 Hint

Common Mistakes

Using strings instead of booleans for verbose.

Mixing up parameter order.

Set temperature to 0.9 for high creativity, max_tokens to 100 to limit length, and verbose to True to see detailed logs.