How to encourage new topics with presence_penalty

The presence_penalty parameter helps you steer the model toward introducing new concepts or topics, instead of sticking to the same words.

Positive values → penalize tokens that have already appeared → model becomes more likely to explore new ideas.
Negative values → encourage staying on the same topic (rarely used).

How it works:

As the model generates text, it tracks which tokens have already been used.
Higher presence_penalty nudges the model to shift away from familiar tokens, helping it bring in new topics or angles.

Parameter details:

Parameter	Type	Range	Default
`presence_penalty`	Double	-2.0 to 2.0	0.0

When to use `presence_penalty`:

Scenario	Suggested Value
You want the model to introduce new topics	0.5 to 1.0
Avoid getting stuck on the same subject	0.5 to 1.0
Brainstorming ideas	1.0 to 1.5
Writing diverse, exploratory content	0.5 to 1.5

1 # Install SarvamAI
2 !pip install -Uqq sarvamai
3 from sarvamai import SarvamAI

1 # Initialize the SarvamAI client with your API key
2 client = SarvamAI(api_subscription_key="YOUR_SARVAM_API_KEY")

1 # Example: Encourage model to introduce new ideas
2 response = client.chat.completions(
3     messages=[
4         {"role": "system", "content": "You are a creative brainstorming assistant."},
5         {"role": "user", "content": "Suggest some ideas for eco-friendly products."}
6     ],
7     presence_penalty=1.0  # Encourage exploration of new ideas
8 )

1 # Receive assistant's reply as output.
2 print(response.choices[0].message.content)

How it works:

Parameter details:

When to use presence_penalty:

When to use `presence_penalty`: