You want to create a Langchain ChatOpenAI instance that uses the "gpt-4" model with a temperature of 0.7 and a maximum token limit of 100. Which code snippet correctly sets all these parameters?

hard📝 Application Q15 of 15

LangChain - LLM and Chat Model Integration

You want to create a Langchain ChatOpenAI instance that uses the "gpt-4" model with a temperature of 0.7 and a maximum token limit of 100. Which code snippet correctly sets all these parameters?

Achat = ChatOpenAI(model="gpt-4", temp=0.7, max_tokens=100)

Bchat = ChatOpenAI(model_name="gpt-4", temperature=0.7, maxToken=100)

Cchat = ChatOpenAI(model_name="gpt-4", temperature=0.7, max_tokens=100)

Dchat = ChatOpenAI(model_name="gpt-4", temperature=0.7, max_tokens=1000)

Step-by-Step Solution

Solution:

Step 1: Identify correct parameter names
The correct parameters are model_name, temperature, and max_tokens.
Step 2: Check values and spelling
chat = ChatOpenAI(model_name="gpt-4", temperature=0.7, max_tokens=100) uses correct names and values: temperature 0.7 and max_tokens 100. Others have wrong names or wrong token limit.
Final Answer:
chat = ChatOpenAI(model_name="gpt-4", temperature=0.7, max_tokens=100) -> Option C
Quick Check:
Use model_name, temperature, max_tokens correctly = A [OK]

Quick Trick: Use exact parameter names: model_name, temperature, max_tokens [OK]

Common Mistakes:

Using 'model' instead of 'model_name'
Wrong parameter names like maxToken or temp
Setting max_tokens too high or wrong value

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You want to create a Langchain ChatOpenAI instance that uses the "gpt-4" model with a temperature of 0.7 and a maximum token limit of 100. Which code snippet correctly sets all these parameters?

Step 1: Identify correct parameter names

Step 2: Check values and spelling

Final Answer:

Quick Check:

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