Fix incorrect model reference in how_to_work_with_code_generation_w_bedrock.ipynb

[kakakakakku]

Description of changes:

Hello, and thank you for the great content😀

While working on the "Generate Python Code with Converse" in "Gen AI Usecases," I noticed a minor issue.

• https://aws-samples.github.io/amazon-bedrock-samples/genai-use-cases/text-generation/how_to_work_with_code_generation_w_bedrock/
• https://github.com/aws-samples/amazon-bedrock-samples/blob/main//genai-use-cases/text-generation/how_to_work_with_code_generation_w_bedrock.ipynb

In "Use case 2 - SQL query generation," the documentation states:

Let's use the Titan Text Large model:

However, the implementation actually uses the Claude v2 model, as seen in the modelId assignment:

MODEL_IDS = [
    "amazon.titan-tg1-large",
    "anthropic.claude-3-sonnet-20240229-v1:0"
]

(snip)

response = boto3_bedrock.converse(
        modelId=MODEL_IDS[1],
        messages=messages,
        inferenceConfig=inference_config
)

This Pull Request corrects the reference to the model in the documentation to align with the actual implementation.

Note

Following the guidelines in CONTRIBUTING.md, I attempted to exec the jupyter nbconvert command:

$ jupyter nbconvert --to markdown genai-use-cases/text-generation/how_to_work_with_code_generation_w_bedrock.ipynb

However, this resulted in many differences other than my intended change. To avoid unnecessary modifications, I have directly edited the markdown file instead. If I have misunderstood the correct process, please provide guidance on the best approach.

Thank you👍

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