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Thank you Ugur Kaynar (@DellTech) and Maroon Ayoub (@RedHat) for “Scaling AI Services: A Customer’s Journey to Production Inference” at PyTorch, Powering the Enterprise, with llm-d as the lens. #llmd #PyTorch

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Thank you Tyler Michael Smith (@RedHat), vLLM core maintainer, for “The Economics of Serving AI: What Business Leaders Should Know About vLLM” at PyTorch, Powering the Enterprise. @vllm_project #vLLM

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Thank you Stephen Watt (@RedHat, PyTorch Board) for opening PyTorch, Powering the Enterprise, and Joseph Groenenboom (@RedHat) and Chris Hoge (@nvidia) for “From Models to Business Value: Navigating the PyTorch Ecosystem.” @PyTorch

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Thank you @RedHat, @nvidia and @IBM for hosting PyTorch, Powering the Enterprise in San Jose, and to hosts Steven Pousty, @wescpy, @cybette, Priya Sethuraman and Saša Zelenović. Our custom networks train in @PyTorch, so this is the stack we build on. #PyTorch

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Thanks Rodrigo Silva Ferreira, Pallav Anand and Josh Schneider of @pytexas for speaking at @py_bay, on scientific observatories, ML explainability at scale, and mentoring.

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Thanks to the maintainers who spoke at @py_bay: Anthony Sottile of @pre_commit_ci, Brian Okken, @mkennedy of @TalkPython, and Jim Baker.

The tools we use every day are kept working by people like these.

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Thanks @dbreunig for "How Contexts Fail (and How to Fix Them)" at @py_bay.

AI should be more boring and more useful.

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Thanks Liz Acosta of @Vonage for "Seeking validation: An introduction to Pydantic" at @py_bay.

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Thanks Noah Kantrowitz of @IKEA for "Fine Print: Intellectual Property for Engineers" at @py_bay.

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Every finding should trace back to the photo it came from.

Replay the real flight over the 3D model, with the photo taken at each point shown alongside. 100% RTK fixed, 0.69 cm per pixel.

https://t.co/IlShVIKv34

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Thanks Mark Thoren of @ADI_News for "Python Beyond Software: Rapid Prototyping of Hardware Systems" at @py_bay.

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Thanks Christopher Ariza of @RA_Insights for "Getting Started with Free-Threaded Python Using NumPy" at @py_bay.

NumPy sits under every model we train.

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Thanks Bhuvan Chetty of @PlayStation for "Turning Multiplatform Media Validation into pytest Assertions" at @py_bay.

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Thanks Rohan Devasthale and Lalatendu Mohanty of @RedHat for "From Source to Wheel: Solving Python's Bootstrapping Problem" at @py_bay.

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Thanks Felipe Perez of @OpenAI for "Testing the Nondeterministic: Making Safe Changes in your Agent Harness" at @py_bay.

Changing an agent without breaking what works is the question we think about most.

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Thanks Emma Smith of @nvidia for "The Path to Introducing Rust in CPython" at @py_bay.

Changes at the bottom of the stack reach every Python program above it.

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Thanks @pamelafox of @Microsoft for "Convergence in vector space" at @py_bay.

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Same flight, five views: photo, NDVI, chlorophyll, height, zones.

The useful output is the short list: 7 of 75 trees whose chlorophyll and vigour sit well below the rest, so someone checks those first.

Live demo, public dataset: https://t.co/IlShVIJXdw

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Thanks @DtiPhilippines PTIC-Silicon Valley for Filipinos at the Frontier during SF Tech Week.

Fireside chat: Earl Valencia (National Innovation Council), Andy Rapista (Invictus), Kyle Kua (@theworldlabs). Thanks also to @PHLinSF, @WellsFargo and @TourismPHL.

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Thanks Bernát Gábor of @TechAtBloomberg for "How to be a Better Software Engineer in the World of AI Agents" at @py_bay, and for maintaining tox, virtualenv and pipx.