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End-to-end data lifecycle management (data engineering, ML and BI)
Jul 10, 2024 · 4 min read · Mistral Le Chat Mistral's Le Chat didn't have the functionality to upload CSV files, so I couldn't generate a transformation code. I could have built a lightweight ingestion process using Mistral API and Langchain. However, that was out of scope for ...
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May 22, 2024 · 4 min read · Welcome back to our ongoing series where we evaluate the performance of various large language models (LLMs) in generating PySpark code for specific data transformation tasks. Following our analysis of GPT-4 and Llama-3-70B, this post delves into how...
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May 8, 2024 · 5 min read · Welcome back to our comparative series where we dive into the performance of various large language models (LLMs) in generating PySpark code for data transformations. After reviewing GPT-4's capabilities in our last post, we now turn our attention to...
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May 6, 2024 · 6 min read · Welcome to the first installment of our series comparing data transformation codes generated by various large language models (LLMs). In this series, we aim to explore how different AI models approach data engineering and analytical tasks under ident...
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Apr 17, 2024 · 2 min read · Be clear and specific Make sure your prompt clearly conveys what you want the SQL code to do. Use specific examples and provide all the necessary details, such as table names and column names. This will help chatGPT understand what you're looking for...
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