Farzaneh Heidari, Md Rifat Arefin, Louis Jaburi, Guillaume Rabusseau: Tensor Network Datamodels for Training Data Attribution https://arxiv.org/abs/2610.24721 https://arxiv.org/pdf/2610.24721 https://arxiv.org/html/2610.24721
October 21, 2026 at 6:43 AM
Farzaneh Heidari, Md Rifat Arefin, Louis Jaburi, Guillaume Rabusseau: Tensor Network Datamodels for Training Data Attribution https://arxiv.org/abs/2610.24721 https://arxiv.org/pdf/2610.24721 https://arxiv.org/html/2610.24721
Farzaneh Heidari, Md Rifat Arefin, Louis Jaburi, Guillaume Rabusseau: Tensor Network Datamodels for Training Data Attribution https://arxiv.org/abs/2610.24721 https://arxiv.org/pdf/2610.24721 https://arxiv.org/html/2610.24721
October 20, 2026 at 6:43 AM
Farzaneh Heidari, Md Rifat Arefin, Louis Jaburi, Guillaume Rabusseau: Tensor Network Datamodels for Training Data Attribution https://arxiv.org/abs/2610.24721 https://arxiv.org/pdf/2610.24721 https://arxiv.org/html/2610.24721
Just spent the evening chatting with the digital devs behind some massive German VTT systems. The pain of migrating legacy PDFs into strict Foundry v13 DataModels is completely universal right now.
August 15, 2026 at 10:21 PM
Just spent the evening chatting with the digital devs behind some massive German VTT systems. The pain of migrating legacy PDFs into strict Foundry v13 DataModels is completely universal right now.
Shivin Dass, Alaa Khaddaj, Logan Engstrom, Aleksander Madry, Andrew Ilyas, Roberto Mart\'in-Mart\'in
DataMIL: Selecting Data for Robot Imitation Learning with Datamodels
https://arxiv.org/abs/2505.09603
DataMIL: Selecting Data for Robot Imitation Learning with Datamodels
https://arxiv.org/abs/2505.09603
May 15, 2025 at 5:07 AM
Shivin Dass, Alaa Khaddaj, Logan Engstrom, Aleksander Madry, Andrew Ilyas, Roberto Mart\'in-Mart\'in
DataMIL: Selecting Data for Robot Imitation Learning with Datamodels
https://arxiv.org/abs/2505.09603
DataMIL: Selecting Data for Robot Imitation Learning with Datamodels
https://arxiv.org/abs/2505.09603
perhaps...
the datamodels are pretty different so I don't think the protocols would ever merge
of course, a client may implement both & developers may build bridges between the two networks
the datamodels are pretty different so I don't think the protocols would ever merge
of course, a client may implement both & developers may build bridges between the two networks
May 5, 2023 at 7:58 PM
perhaps...
the datamodels are pretty different so I don't think the protocols would ever merge
of course, a client may implement both & developers may build bridges between the two networks
the datamodels are pretty different so I don't think the protocols would ever merge
of course, a client may implement both & developers may build bridges between the two networks
Our new #webinar on Thu, May 8th is waiting for your registration! Find out more about what #Propylon experts will be exploring during the webinar and register here:
event.webinarjam.com/register/58/...
#standards #machines #AI #XBRL #standardization #datamodels #SDOs #standardsbodies #thefuture
event.webinarjam.com/register/58/...
#standards #machines #AI #XBRL #standardization #datamodels #SDOs #standardsbodies #thefuture
April 17, 2025 at 11:57 AM
Our new #webinar on Thu, May 8th is waiting for your registration! Find out more about what #Propylon experts will be exploring during the webinar and register here:
event.webinarjam.com/register/58/...
#standards #machines #AI #XBRL #standardization #datamodels #SDOs #standardsbodies #thefuture
event.webinarjam.com/register/58/...
#standards #machines #AI #XBRL #standardization #datamodels #SDOs #standardsbodies #thefuture
While it's always been possible to create a table from #PowerPivot-backed #DataModels, it has required some black magic and #DAX knowledge to make it happen. The DAX Table Monkey in our Monkey Tools #Excel add-in builds it for you with just a few clicks. 🐵 Learn more about it at mkyt.ca/daxtable.
May 13, 2026 at 4:36 PM
While it's always been possible to create a table from #PowerPivot-backed #DataModels, it has required some black magic and #DAX knowledge to make it happen. The DAX Table Monkey in our Monkey Tools #Excel add-in builds it for you with just a few clicks. 🐵 Learn more about it at mkyt.ca/daxtable.
If you build #DataModels and want to sharpen your DAX skills, this is where those "how do I actually make this work?" moments get answered. Access comes with my #SelfServiceBI (skw-t.com/ssbi) or Excel Fundamentals (skw-t.com/excelfun) Academies, or join the AKAs on their own at skw-t.com/aka.
Self Service BI Academy
Prepare to change your company's reporting game forever! In the Self Service BI Academy, Ken Puls will teach you how to use Excel, Power Query, and Power BI together to build robust Self Service BI…
skw-t.com
April 7, 2026 at 7:17 PM
If you build #DataModels and want to sharpen your DAX skills, this is where those "how do I actually make this work?" moments get answered. Access comes with my #SelfServiceBI (skw-t.com/ssbi) or Excel Fundamentals (skw-t.com/excelfun) Academies, or join the AKAs on their own at skw-t.com/aka.
I've gotten so used to fast big datamodels that I am quite amazed at how quick Prometheus runs into problems when adding a few labels to a metric in a relatively low traffic application. I wonder if that would improve with different storage underneath.
May 13, 2025 at 12:41 PM
I've gotten so used to fast big datamodels that I am quite amazed at how quick Prometheus runs into problems when adding a few labels to a metric in a relatively low traffic application. I wonder if that would improve with different storage underneath.
Thanks to @vahiddousti.bsky.social for the opportunity to talk about large #DataModels in #PowerBI #SemanticModels 👍🏼
Check out the full video of our meeting yesterday with @biinsight.com about "Dealing with Large Data Models in Power BI".
Link: youtube.com/live/mqwutn2...
Link: youtube.com/live/mqwutn2...
Dealing with Large Data Models in Power BI
YouTube video by Data BI
youtube.com
January 29, 2025 at 5:36 AM
Thanks to @vahiddousti.bsky.social for the opportunity to talk about large #DataModels in #PowerBI #SemanticModels 👍🏼
Python Dicts unter Kontrolle: Modelle statt Rohdaten in 2026
Ein praktischer 2026 Guide, um Python Dictionaries unter Kontrolle zu halten: rohe JSON Payloads in dataclasses, Pydantic Modelle, TypedDict Contracts und klare Mapping-Typen umwandeln.
#python #pydantic #datamodels
Ein praktischer 2026 Guide, um Python Dictionaries unter Kontrolle zu halten: rohe JSON Payloads in dataclasses, Pydantic Modelle, TypedDict Contracts und klare Mapping-Typen umwandeln.
#python #pydantic #datamodels
Python Dicts unter Kontrolle: Modelle statt Rohdaten in 2026
Ein praktischer 2026 Guide, um Python Dictionaries unter Kontrolle zu halten: rohe JSON Payloads in dataclasses, Pydantic Modelle, TypedDict Contracts und klare Mapping-Typen umwandeln.
www.alekseialeinikov.com
July 8, 2026 at 7:21 PM
Python Dicts unter Kontrolle: Modelle statt Rohdaten in 2026
Ein praktischer 2026 Guide, um Python Dictionaries unter Kontrolle zu halten: rohe JSON Payloads in dataclasses, Pydantic Modelle, TypedDict Contracts und klare Mapping-Typen umwandeln.
#python #pydantic #datamodels
Ein praktischer 2026 Guide, um Python Dictionaries unter Kontrolle zu halten: rohe JSON Payloads in dataclasses, Pydantic Modelle, TypedDict Contracts und klare Mapping-Typen umwandeln.
#python #pydantic #datamodels
Stop Passing Raw Dicts Around in Python: Safer Models for 2026
A practical 2026 guide to keeping Python dictionaries under control by converting raw JSON into dataclasses, Pydantic models, TypedDict contracts, and clear mapping types.
#python #pydantic #datamodels
A practical 2026 guide to keeping Python dictionaries under control by converting raw JSON into dataclasses, Pydantic models, TypedDict contracts, and clear mapping types.
#python #pydantic #datamodels
Stop Passing Raw Dicts Around in Python: Safer Models for 2026
A practical 2026 guide to keeping Python dictionaries under control by converting raw JSON into dataclasses, Pydantic models, TypedDict contracts, and clear mapping types.
www.alekseialeinikov.com
July 6, 2026 at 4:40 PM
Stop Passing Raw Dicts Around in Python: Safer Models for 2026
A practical 2026 guide to keeping Python dictionaries under control by converting raw JSON into dataclasses, Pydantic models, TypedDict contracts, and clear mapping types.
#python #pydantic #datamodels
A practical 2026 guide to keeping Python dictionaries under control by converting raw JSON into dataclasses, Pydantic models, TypedDict contracts, and clear mapping types.
#python #pydantic #datamodels
SQL and relational datamodels 🫶🏽
February 24, 2025 at 9:37 PM
SQL and relational datamodels 🫶🏽
Hey bluesky does anyone know how to do physical datamodels to help me out with my coursework?
March 19, 2024 at 8:51 PM
Hey bluesky does anyone know how to do physical datamodels to help me out with my coursework?
Feed: "PyPI recent updates"
By: hello@kumo.ai on Friday, May 8, 2026
By: hello@kumo.ai on Friday, May 8, 2026
kumo-api 0.88.0
RESTful datamodels for Kumo AI
pypi.org
May 8, 2026 at 6:37 AM
Feed: "PyPI recent updates"
By: hello@kumo.ai on Friday, May 8, 2026
By: hello@kumo.ai on Friday, May 8, 2026
Thx for that.
There is more XML out there than you think, notably in "back-ends".
Legacy from the 00s.
See it as a Tribute to the Longevity of some systems, datamodels, designs.
Data Lives Longer....
There is more XML out there than you think, notably in "back-ends".
Legacy from the 00s.
See it as a Tribute to the Longevity of some systems, datamodels, designs.
Data Lives Longer....
October 31, 2025 at 9:05 AM
Thx for that.
There is more XML out there than you think, notably in "back-ends".
Legacy from the 00s.
See it as a Tribute to the Longevity of some systems, datamodels, designs.
Data Lives Longer....
There is more XML out there than you think, notably in "back-ends".
Legacy from the 00s.
See it as a Tribute to the Longevity of some systems, datamodels, designs.
Data Lives Longer....
What's New in #ArcGIS Solutions supporting #Utility #Networks shorturl.at/eFJqp
#utilitynetwork #utilities #publicworks #water #sewer #electric #datamodels #esri #GIS #mapping #GISchat #geospatial #TheScienceOfWhere #geosky
#utilitynetwork #utilities #publicworks #water #sewer #electric #datamodels #esri #GIS #mapping #GISchat #geospatial #TheScienceOfWhere #geosky
August 6, 2024 at 1:16 PM
What's New in #ArcGIS Solutions supporting #Utility #Networks shorturl.at/eFJqp
#utilitynetwork #utilities #publicworks #water #sewer #electric #datamodels #esri #GIS #mapping #GISchat #geospatial #TheScienceOfWhere #geosky
#utilitynetwork #utilities #publicworks #water #sewer #electric #datamodels #esri #GIS #mapping #GISchat #geospatial #TheScienceOfWhere #geosky
specialized policies, but selecting data naively may actually harm downstream performance. To address this, we introduce DataMIL, a policy-driven data selection framework built on the datamodels paradigm that reasons about data selection in an [3/8 of https://arxiv.org/abs/2505.09603v1]
May 15, 2025 at 6:05 AM
specialized policies, but selecting data naively may actually harm downstream performance. To address this, we introduce DataMIL, a policy-driven data selection framework built on the datamodels paradigm that reasons about data selection in an [3/8 of https://arxiv.org/abs/2505.09603v1]
Shivin Dass, Alaa Khaddaj, Logan Engstrom, Aleksander Madry, Andrew Ilyas, Roberto Mart\'in-Mart\'in: DataMIL: Selecting Data for Robot Imitation Learning with Datamodels https://arxiv.org/abs/2505.09603 https://arxiv.org/pdf/2505.09603 https://arxiv.org/html/2505.09603
May 15, 2025 at 6:05 AM
Shivin Dass, Alaa Khaddaj, Logan Engstrom, Aleksander Madry, Andrew Ilyas, Roberto Mart\'in-Mart\'in: DataMIL: Selecting Data for Robot Imitation Learning with Datamodels https://arxiv.org/abs/2505.09603 https://arxiv.org/pdf/2505.09603 https://arxiv.org/html/2505.09603
Water covers 70% of our planet, but if gathered into a sphere, would only be 870 miles (1400km) across-- that's barely big enough to cover Eastern Europe!
#PopEdBigNumbers #visuals #Earth #datamodels
Illustration: Félix Pharand-Deschênes, Concept: Adam Nieman.
#PopEdBigNumbers #visuals #Earth #datamodels
Illustration: Félix Pharand-Deschênes, Concept: Adam Nieman.
January 2, 2025 at 9:59 PM
Water covers 70% of our planet, but if gathered into a sphere, would only be 870 miles (1400km) across-- that's barely big enough to cover Eastern Europe!
#PopEdBigNumbers #visuals #Earth #datamodels
Illustration: Félix Pharand-Deschênes, Concept: Adam Nieman.
#PopEdBigNumbers #visuals #Earth #datamodels
Illustration: Félix Pharand-Deschênes, Concept: Adam Nieman.
It's definitely one of there "It's not pretty, but it has teeth"-areas.
Challenge of converting data between systems or versions is holding back a lot of tech debt projects.
Legacy systems often don't have APIs or even documentation. Using AI to map and convert between datamodels is very valuable.
Challenge of converting data between systems or versions is holding back a lot of tech debt projects.
Legacy systems often don't have APIs or even documentation. Using AI to map and convert between datamodels is very valuable.
February 4, 2026 at 7:04 PM
It's definitely one of there "It's not pretty, but it has teeth"-areas.
Challenge of converting data between systems or versions is holding back a lot of tech debt projects.
Legacy systems often don't have APIs or even documentation. Using AI to map and convert between datamodels is very valuable.
Challenge of converting data between systems or versions is holding back a lot of tech debt projects.
Legacy systems often don't have APIs or even documentation. Using AI to map and convert between datamodels is very valuable.
How AI Is Used in Insurance Claim Calculations
Click the bio link to listen to the full episode.
https://bio.link/lanesiesky
#AI #Insurance #DataModels #Claims #LegalTech
Click the bio link to listen to the full episode.
https://bio.link/lanesiesky
#AI #Insurance #DataModels #Claims #LegalTech
May 26, 2026 at 2:31 PM
How AI Is Used in Insurance Claim Calculations
Click the bio link to listen to the full episode.
https://bio.link/lanesiesky
#AI #Insurance #DataModels #Claims #LegalTech
Click the bio link to listen to the full episode.
https://bio.link/lanesiesky
#AI #Insurance #DataModels #Claims #LegalTech
📦 zero-to-prod/data-model-generator v2.3.4
Builds DataModels from a Schema
🔗 https://github.com/zero-to-prod/data-model-generator
Builds DataModels from a Schema
🔗 https://github.com/zero-to-prod/data-model-generator
February 10, 2026 at 7:21 PM
📦 zero-to-prod/data-model-generator v2.3.4
Builds DataModels from a Schema
🔗 https://github.com/zero-to-prod/data-model-generator
Builds DataModels from a Schema
🔗 https://github.com/zero-to-prod/data-model-generator