How to Enhance Your dbt Project With Large Language Models

Programming Tech Brief By HackerNoon

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1y ago 12:30

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This story was originally published on HackerNoon at: https://hackernoon.com/how-to-enhance-your-dbt-project-with-large-language-models.
Automatically solve typical Natural Language Processing tasks for your text data using LLM for as cheap as $10 per 1M rows, staying in your dbt environment
Check more stories related to programming at: https://hackernoon.com/c/programming. You can also check exclusive content about #dbt, #llm, #python-project, #chatgpt-integration, #how-to-set-up-a-dbt-project, #openai-api-integration, #hackernoon-top-story, #natural-language-processing, and more.
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You can automatically solve typical Natural Language Processing tasks (classification, sentiment analysis, etc.) for your text data using LLM for as cheap as $10 per 1M rows (it depends on the task and the model), staying in your dbt environment. Instructions, details, and code are below

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