Workflow updated with the use of LLMs (using Amazon Bedrock) #3
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added 10 commits
March 31, 2024 01:38
arbahena
approved these changes
Jun 26, 2024
donatoaz
reviewed
Jul 8, 2024
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| from langchain.prompts import PromptTemplate | ||
| from langchain.llms.bedrock import Bedrock | ||
| from langchain_community.chat_models import BedrockChat |
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The official package for accessing bedrock models is now langchain-aws
donatoaz
reviewed
Jul 8, 2024
| 'claude': 'anthropic.claude-3-haiku-20240307-v1:0', | ||
| } | ||
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| logging.getLogger().setLevel(os.environ.get('LOG_LEVEL', 'WARNING').upper()) |
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Have you considered using Powertools for Lambda? They offer a cool structured logging convenience.
donatoaz
reviewed
Jul 8, 2024
| augmented_json_format_str = json.dumps(json_format) | ||
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| logging.info(f'Extract data prompt') | ||
| logging.info(extract_data_prompt.format(json_format=augmented_json_format_str, |
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Have you considered using a few shot prompting template?
donatoaz
reviewed
Jul 8, 2024
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| extract_data_prompt = ChatPromptTemplate.from_messages(messages_data) | ||
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| chain_extract_data = extract_data_prompt | llm_data | StrOutputParser() |
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Have you considered using structured output or tools to do info extraction?
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