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Data Science at Microsoft
Lessons learned in the practice of data science at Microsoft.
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Machine Learning
Deepsha Menghani
in
Data Science at Microsoft
Aug 27
There’s more than one way to chunk a RAG
Everything you need to know about chunking strategies to…
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10
Karthikeyan Dhanakotti
in
Data Science at Microsoft
Aug 19
Exploring quantization in Large Language Models (LLMs): Concepts and techniques
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1
Bwilliams
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Data Science at Microsoft
Jul 29
Token efficiency with structured output from language models
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6
Manasa Gudimella
in
Data Science at Microsoft
Jun 10
Writing technical papers in data science
Congratulations on completing your first technical paper after extensive research and…
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19
1 response
Iswarya Murali
in
Data Science at Microsoft
Apr 29
Trustworthiness of Generative AI: Reducing hallucinations and increasing transparency
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41
1 response
Karol Zak
in
Data Science at Microsoft
Apr 22
Introduction to image inpainting with a practical example from the e-commerce industry
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196
3 responses
Jane Huang
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Data Science at Microsoft
Mar 5
Evaluating LLM systems: Metrics, challenges, and best practices
A detailed consideration of approaches…
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1.4K
16 responses
Kate B
in
Data Science at Microsoft
Nov 28, 2023
Responsible AI in action, Part 1: Get started
Reasons to care about responsible AI
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23
Kaixin Wang
in
Data Science at Microsoft
Nov 7, 2023
Introduction to clustering-based customer segmentation
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118
1 response
Aditya Challapally
in
Data Science at Microsoft
Oct 30, 2023
Challenges of building LLM apps, Part 2: Building Copilots
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97
1 response