content tag sql 
Mlearning.ai
JULY 2, 2023
Table of Contents Introduction to Django Setting Up Django Environment Django Project Structure Django Models Django Views Django Templates Django Forms Django URL Configuration Django Admin Interface Django in Analytics and Data Science 1. In the template, use the {% form %} tag to render the form elements.
ODSC - Open Data Science
JANUARY 29, 2024
Generative AI Generative AI is another crucial skill for the role of prompt engineering, as it encompasses the core ability to leverage AI to create new content, whether it be text, images, or other forms of media. This enhances the context awareness and factual accuracy of LLM outputs.
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DECEMBER 6, 2023
In this post, we discuss a Q&A bot use case that Q4 has implemented, the challenges that numerical and structured datasets presented, and how Q4 concluded that using SQL may be a viable solution. RAG with semantic search – Conventional RAG with semantic search was the last step before moving to SQL generation.
Marktechpost
JULY 11, 2023
JupyterLab Celltags Users may quickly create, examine, and change descriptive tags for notebook cells with the JupyterLab cell tags plugin. The add-on allows picking every cell that matches a specific tag, enabling the execution of any operation on those cells. A JupyterLab tab is opened to display files.
AWS Machine Learning Blog
NOVEMBER 14, 2023
Many of these foundation models have shown remarkable capability in understanding and generating human-like text, making them a valuable tool for a variety of applications, from content creation to customer support automation. However, these models are not without their challenges.
Explosion
AUGUST 3, 2017
It’s easy to use a different SQL backend, or to specify a custom storage solution. Example: Text Classification Text classification models can be trained to perform a wide variety of useful tasks, including sentiment analysis , chatbot intent detection , and flagging abusive or fraudulent content. 50% 0.82 +0.09 75% 0.84 +0.02
AWS Machine Learning Blog
APRIL 17, 2023
For scenarios where you need to add your own custom scripts for data transformations, you can write your transformation logic in Pandas, PySpark, PySpark SQL. With the Data Wrangler custom transform capability, you can write your transformation logic in Pandas, PySpark, PySpark SQL. After notebook files (.ipynb)
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