Transformers Library: The Swiss Army Knife of NLP
Tomorrow we'll explore the Accelerate library for distributed training. Transformers Documentation Pipeline API Model Hub
Thoughts on data engineering, cloud architecture, and technology. 2205 articles and counting.
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Tomorrow we'll explore the Accelerate library for distributed training. Transformers Documentation Pipeline API Model Hub
Tomorrow we'll explore the Transformers library in depth. Hugging Face Hub Hub Documentation Model Cards
Hugging Face and Microsoft's partnership has made the model hub directly accessible from Azure ML, and in August 2023 this is meaningfully useful for Llama…
Tomorrow we'll explore Hugging Face integration with Azure. PEFT Documentation PEFT GitHub TRL Library
Tomorrow we'll explore PEFT libraries and their practical usage. PEFT Library Documentation Adapter Transformers PEFT Methods Survey
Tomorrow we'll explore parameter efficient fine tuning methods in more depth. LoRA Paper QLoRA Paper PEFT Library Hugging Face LoRA Guide
Fine-tuning is the right answer to fewer questions than the hype suggests, and I want to be precise about when it actually makes sense before diving into…
File processing — extracting structured data from PDFs, converting between formats, parsing inconsistent CSVs, pulling content from Excel sheets with…
Visualization has always required a combination of skills that rarely all sit in the same person: data access, statistical understanding, and design…
The Code Interpreter release this month changed how I approach quick data analysis tasks. Not the deep, production-grade EDA that belongs in a Fabric…
OpenAI released Code Interpreter for ChatGPT Plus subscribers on July 6, 2023 — and within a week it had become my default tool for quick data exploration…
Tomorrow we'll explore ChatGPT Code Interpreter capabilities. Azure OpenAI Assistants Code Interpreter Guide Azure OpenAI Pricing
Tomorrow we'll explore Azure OpenAI Code Interpreter. MLflow Tracking Experiment Best Practices MLOps Patterns
MLflow in Fabric is the managed tracking layer that turns a Spark notebook into a reproducible experiment record. The integration is transparent — you…
Tomorrow we'll explore MLflow integration in Fabric. Model Management in Fabric MLflow Model Registry Model Deployment Guide
Data Science in Fabric brings ML experiment tracking, model registration, and batch prediction into the same platform where the training data lives — which…
Tomorrow we'll explore Fabric Data Science capabilities. Real Time Dashboard Documentation KQL Visualizations Dashboard Best Practices
Tomorrow we'll explore Real Time Dashboards for visualizing streaming data. Eventstream Documentation Event Hub Integration Streaming Best Practices
'{ "SoftDeletePeriod": "90.00:00:00", "Recoverability": "Enabled" }' '{ "DataHotSpan": "7.00:00:00", "IndexHotSpan": "14.00:00:00" }'
'{' ' "SoftDeletePeriod": "30.00:00:00",' ' "Recoverability": "Enabled"' '}'
Tomorrow we'll explore Fabric Real Time Analytics. Query Insights Documentation Performance Tuning Monitoring DMVs
Tomorrow we'll explore Query Insights for monitoring and optimization. Cross Database Queries OneLake Shortcuts Security Model
If you're coming to Fabric Warehouse from a SQL Server or Azure SQL Database background, the T-SQL compatibility is reassuring — CTEs, window functions…
The Fabric Warehouse is the part of Microsoft Fabric that surprised me most in hands-on testing. I expected it to be the Lakehouse's SQL analytics endpoint…