Temperature and sampling parameters in Prompt Engineering / GenAI - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to set the temperature parameter for text generation.

Prompt Engineering / GenAI

output = model.generate(input_text, temperature=[1])

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

A2.0

B1.5

C-0.5

D0.7

Attempts:

3 left

💡 Hint

Common Mistakes

Using negative temperature values causes errors.

Setting temperature too high leads to nonsensical output.

The temperature controls randomness. A value of 0.7 gives balanced creativity.

2fill in blank

medium

Complete the code to set the top_p parameter for nucleus sampling.

Prompt Engineering / GenAI

output = model.generate(input_text, top_p=[1])

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

A0.9

B0.1

C1.5

D-0.2

Attempts:

3 left

💡 Hint

Common Mistakes

Using values greater than 1 for top_p.

Using negative values for top_p.

Top_p controls cumulative probability cutoff. 0.9 keeps the most likely tokens.

3fill in blank

hard

Fix the error in the code by choosing the correct temperature value.

Prompt Engineering / GenAI

output = model.generate(input_text, temperature=[1])

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

A0

B1.2

C0.5

D-1

Attempts:

3 left

💡 Hint

Common Mistakes

Using zero or negative temperature causes the model to fail.

Using values above 1 can cause too random output.

Temperature must be positive and typically less than or equal to 1 for stable output.

4fill in blank

hard

Fill both blanks to set temperature and top_p for balanced sampling.

Prompt Engineering / GenAI

output = model.generate(input_text, temperature=[1], top_p=[2])

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

A0.8

B0.95

C0.5

D1.1

Attempts:

3 left

💡 Hint

Common Mistakes

Setting top_p above 1 causes errors.

Using temperature too low makes output boring.

Temperature 0.8 and top_p 0.95 balance creativity and coherence.

5fill in blank

hard

Fill all three blanks to set temperature, top_p, and max_tokens for generation.

Prompt Engineering / GenAI

output = model.generate(input_text, temperature=[1], top_p=[2], max_tokens=[3])

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

A0.6

B0.9

C50

D100

Attempts:

3 left

💡 Hint

Common Mistakes

Using max_tokens too low cuts output short.

Setting temperature or top_p outside 0-1 range causes errors.

Temperature 0.6 and top_p 0.9 give good randomness; max_tokens 100 limits output length.

Practice

1. What does the temperature parameter control in AI text generation?

easy

A. The speed of the AI's response

B. The length of the generated text

C. How random or focused the AI's answers are

D. The number of words the AI can use

Solution

1. Step 1: Understand the role of temperature

   The temperature parameter adjusts randomness in AI output. A low temperature makes answers more focused and predictable, while a high temperature increases randomness and creativity.

2. Step 2: Match the description to the options

   Only How random or focused the AI's answers are correctly describes temperature as controlling randomness or focus in AI answers.

3. Final Answer:

   How random or focused the AI's answers are -> Option C

4. Quick Check:

   Temperature controls randomness = A [OK]

Hint: Temperature means randomness level in AI output [OK]

Common Mistakes:

• Confusing temperature with output length
• Thinking temperature controls speed
• Mixing temperature with vocabulary size

2. Which of the following is the correct way to set the temperature to 0.7 in a Python API call for text generation?

easy

A. generate_text(temperature=0.7)

B. generate_text(temp=7)

C. generate_text(temperature='0.7')

D. generate_text(temperature=7)

Solution

1. Step 1: Identify correct parameter name and type

   The parameter controlling randomness is named temperature and expects a float value between 0 and 1 (commonly).

2. Step 2: Check each option

   generate_text(temperature=0.7) uses the correct parameter name and a valid float value 0.7. generate_text(temp=7) uses wrong parameter name and integer 7. generate_text(temperature='0.7') passes a string instead of float. generate_text(temperature=7) uses an invalid integer 7 instead of a float between 0 and 1.

3. Final Answer:

   generate_text(temperature=0.7) -> Option A

4. Quick Check:

   Correct parameter and float value = D [OK]

Hint: Use parameter name 'temperature' with float value [OK]

Common Mistakes:

• Using wrong parameter name like 'temp'
• Passing temperature as string instead of float
• Using values outside 0-1 range

3. Given this code snippet:

response = generate_text(prompt='Hello', temperature=0.1, top_p=0.9)
print(response)

What is the expected behavior of the AI output?

medium

A. Highly random and creative text

B. Very focused and predictable text

C. Text with many rare words

D. Text ignoring the prompt

Solution

1. Step 1: Analyze temperature value

   A temperature of 0.1 is very low, so the AI output will be focused and predictable, avoiding randomness.

2. Step 2: Analyze top_p value

   Top-p of 0.9 means the AI considers the most probable words covering 90% probability, further limiting randomness.

3. Final Answer:

   Very focused and predictable text -> Option B

4. Quick Check:

   Low temperature + top_p = focused output [OK]

Hint: Low temperature means focused output, not random [OK]

Common Mistakes:

• Assuming low temperature means more creativity
• Ignoring top_p effect on word choice
• Thinking AI ignores prompt with low temperature

4. You set temperature=1.5 in your AI call but get an error. What is the likely cause and fix?

medium

A. Temperature must be an integer; set it to 1

B. Temperature must be a string; set it to '1.5'

C. Temperature cannot be set; remove it

D. Temperature must be between 0 and 1; set it to 0.9

Solution

1. Step 1: Understand valid temperature range

   Temperature values are usually required to be between 0 and 1 to control randomness properly.

2. Step 2: Identify error cause and fix

   Setting temperature to 1.5 is outside the valid range, causing an error. Fix is to set it to a valid value like 0.9.

3. Final Answer:

   Temperature must be between 0 and 1; set it to 0.9 -> Option D

4. Quick Check:

   Temperature range 0-1 = B [OK]

Hint: Temperature must be 0 to 1, not above [OK]

Common Mistakes:

• Using values above 1 for temperature
• Thinking temperature must be integer
• Passing temperature as string

5. You want the AI to generate creative but coherent stories. Which combination of temperature and top_p is best?

hard

A. temperature=0.8, top_p=0.9

B. temperature=0.2, top_p=0.5

C. temperature=1.0, top_p=0.1

D. temperature=0.0, top_p=1.0

Solution

1. Step 1: Understand desired output style

   Creative but coherent stories need some randomness (creativity) but also focus (coherence).

2. Step 2: Evaluate each parameter combination

   temperature=0.8, top_p=0.9 has temperature 0.8 (moderately high randomness) and top_p 0.9 (limits to likely words), balancing creativity and coherence. temperature=0.2, top_p=0.5 is too low randomness, temperature=1.0, top_p=0.1 has very low top_p causing incoherence, temperature=0.0, top_p=1.0 is zero randomness, so very dull.

3. Final Answer:

   temperature=0.8, top_p=0.9 -> Option A

4. Quick Check:

   Moderate temperature + high top_p = creative & coherent [OK]

Hint: Use moderate temperature and high top_p for creative coherence [OK]

Common Mistakes:

• Choosing zero temperature for creativity
• Using very low top_p causing odd word choices
• Setting temperature too high causing nonsense