Seth Juarez
where else to find them
website:http://www.sethjuarez.com
github:sethjuarez
bluesky:sethjuarez.com
linkedin:sethjuarez
devto:sethjuarez
what they talk about
all 7 in the filters
where they keep going back
- Microsoft Build2 editions2023–2024
- NDC Oslo2 editions2018–2020
- NDC London2 editions2019–2021
all 6 in the filters
on a stage with
all 37 in the filters
who talks about the same things
- Henk Boelman20 talks
- Alison Walters9 talks
- Nannette Sperling26 talks
- Dona Sarkar23 talks
- Sarah Bird18 talks
- Stefano Tempesta10 talks
| title | conference | date |
|---|---|---|
| From LLM Theory to Practical Agentic Implementations | NDC Toronto 2026 | 2026-05-05 |
Claim: LLMs are fundamentally a next-token predictor and have no independent agency; agency comes from the runtime. The demo uses the Prompty library and Draft… | ||
| Practical End-to-End AI Development using Prompty and AI Studio | Microsoft Build 2024 | 2024-05-21 |
Shows a concrete workflow: a Prompty spec (markdown + front matter) stored in VS Code with a VS Code extension, executed via Prompt Flow or LangChain/Semantic… | ||
| Next generation AI for developers with the Microsoft Cloud | Microsoft Build 2024 | 2024-05-21 |
Join Scott Guthrie and leaders across Microsoft to learn how you can build the secure and responsible AI solutions of the future with the foundation of the… | ||
| Next generation AI for developers with the Cloud | Microsoft Build 2023 | 2023-05-23 |
Demoed how GitHub Copilot evolves into Copilot X with Copilot Chat, claims 46% of lines by Copilot are fully AI generated and over 1M users; shows Codespaces +… | ||
| Build and Maintain your Company Copilot with Azure ML and GPT-4 Q&A | Microsoft Build 2023 | 2023-05-23 |
Shows how to assemble LangChain or Semantic Kernel code into Prompt Flow UI and SDK for side‑by‑side evaluation, tracing each nested LLM call with a tool… | ||
| Build and maintain your company Copilot with Azure ML and GPT-4 | Microsoft Build 2023 | 2023-05-23 |
Demo builds a Contoso customer-service Copilot that uses prompt flow + LangChain to run a three-step RAG pipeline: intent classification, Cognitive Search… | ||
| The Secrets to Product Storytelling | Imagine Cup Kick Off: Build Your Epic | 2021-10-08 |
A concrete claim: a small box called a decimator decimator saved the stream by converting PAL to NTSC live so a keynote could broadcast; its spec page brags… | ||
| It's Time to Go Tell Your Story! | Imagine Cup Kick Off: Build Your Epic | 2021-10-08 |
Registration goes live at aka.ms/imaginecup and students get access to a Discord with mentors and scheduled AMAs, plus four Azure bootcamp workshops (including… | ||
| Getting Started with Computer Vision | NDC London 2021 | 2021-01-25 |
Builds a rock/paper/scissors classifier by uploading labeled images (about 138 scissors, 126 rock, 136 paper, 113 none), trains a Custom Vision project… | ||
| A Friendly Introduction to Deep Learning for Computer Vision | NDC Oslo 2020 | 2020-06-08 |
Starts from perceptron math and shows exact code using PyTorch tensors, datasets and dataloaders, a linear model with mean squared error and SGD (epochs ~20)… | ||
| Deep Learning with PyTorch | NDC London 2019 | 2019-01-30 |
Shows how to build and train models with PyTorch end to end: constructs a toy nine‑pixel classifier (learns W and bias by gradient descent), implements MNIST… | ||
| Deep Learning with TensorFlow | NDC Sydney 2018 | 2018-09-17 |
Hands-on walkthrough builds classifiers on 28x28 digit images using TensorFlow, starting with a linear model that reaches ~82% accuracy, then a multi‑layer… | ||
| Deep Learning with TensorFlow | NDC Oslo 2018 | 2018-06-11 |
Builds small TensorFlow pipelines that go from MNIST pixels to a deployed recognizer: defines X and Y placeholders, optimizes W and b via gradient… | ||
| The Hello World Show | NDC Oslo 2018 | 2018-06-11 |
Live on stage a panel collapses hype into nuts and bolts: AI is an engineering problem that spends 80–90% of time cleaning data, produces deployable artifacts… | ||
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