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Development

Featured in Development

Where is the Art? a History in Technology

Andy Piper discusses creative technology and art and the ways in which it has been misunderstood and feared at different points in our shared history and culture.

All in development

Architecture & Design

Featured in Architecture & Design

Building Green Software with Anne Currie and Sara Bergman

What Does It Mean to Be Green in IT? That's the question that begins chapter one in Building Green Software. In this episode, Thomas Betts is joined by two of the book's authors, Anne Currie and Sara Bergman. The discussion covers general themes and digs into some practical advice for all software practitioners.

All in architecture-design

AI Infrastructure

Featured in AI, ML & Data Engineering

A Framework for Building Micro Metrics for LLM System Evaluation

LLM accuracy is a challenging topic to address and is much more multi-dimensional than a simple accuracy score. Denys Linkov introduces a framework for creating micro metrics to evaluate LLM systems, focusing on goal-aligned metrics that improve performance and reliability. By adopting an iterative "crawl, walk, run" methodology, teams can incrementally develop observability.

All in ai-ml-data-eng

Culture & Methods

Featured in Culture & Methods

The Time is Now: Delight Your Developers with User-Centric Platforms & Practices

Ana Petkovska discusses creating platform teams, establishing the team API, engagement of early adopters, easing adoption and providing a high quality product.

All in culture-methods

DevOps

Featured in DevOps

Bits, Bots, and Banter: a Deep Dive into How Tech Teams Work in a DevOps World

Brittany Woods discusses team structures and how they can make or break healthy teams, insights into how teams are collaborating, strategies for leaders, advice on dealing with T-shaped engineers.

All in devops

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Presentations

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Development

Probabilistic Programming for Software Engineers

Michael Tingley provides a preview of how Facebook is advancing probabilistic programming, as well as some of the big problems they used it to solve.

Michael Tingley
on May 13, 2020

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47:33
Development

Probabilistic Programming from Scratch

Mike Lee Williams demonstrates building a lightweight probabilistic programming system from scratch with Python. He also explores how solving problems using PyMC3.

Mike Lee Williams
on Sep 07, 2018

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01:01:17
AI, ML & Data Engineering

Counting is Hard: Probabilistic Algorithms for View Counting at Reddit

Krishnan Chandra explains the challenges of building a view counting system at scale, and how Reddit used probabilistic counting algorithms to make scaling easier.

Krishnan Chandra
on May 15, 2018

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32:58
Development

It Probably Works

Tyler McMullen discusses how probabilistic algorithms actually work in practice and how to know they'll be safe and reliable in critical production systems.

Tyler McMullen
on Jan 01, 2016

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34:23
Bloomin' Marvellous

Adrian Colyer takes a look at the Bloom filter, a probabilistic data structure, revealing the many uses of hashing and exploring how this can be used for computing summary information over data sets.

Adrian Colyer
on May 20, 2014

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45:18

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