Open benchmarking done right. @nvidia's Nemotron Nano 12B hitting 30B-level quality significantly lower cost for workloads. Proud to have them as a MediaPerf governance board partner 🚀
Our Nemotron Nano 12B v2 VL brings video understanding on-prem.
MediaPerf benchmark launched by Coactive ranks our 12B model on par with 30B-size models at less than half the footprint:
✅ Cost Efficiency: Lowest cost for Tagging Refinement workload.
✅ Pro-Grade Quality: 0.299 F1 on real-world media tasks.
✅ Massive Throughput: 4.48 hrs video/hr - 15% faster than the leading 30B OS alternative.
✅ Sovereignty: Self-hostable, open model for every developer worldwide.
✅ Transparency: Open training datasets, techniques, and libraries.
🔗 https://t.co/LeI1pfWPQO
Our Nemotron Nano 12B v2 VL brings video understanding on-prem.
MediaPerf benchmark launched by Coactive ranks our 12B model on par with 30B-size models at less than half the footprint:
✅ Cost Efficiency: Lowest cost for Tagging Refinement workload.
✅ Pro-Grade Quality: 0.299 F1 on real-world media tasks.
✅ Massive Throughput: 4.48 hrs video/hr - 15% faster than the leading 30B OS alternative.
✅ Sovereignty: Self-hostable, open model for every developer worldwide.
✅ Transparency: Open training datasets, techniques, and libraries.
🔗 https://t.co/LeI1pfWPQO
Today we’re launching MediaPerf – the first open AI benchmark built specifically for the media industry. Quality + cost + latency reported together. Governance board: AWS, Business Insider, Harvard, Georgia Tech, NBCUniversal, NVIDIA.
See more at https://t.co/GTu8AN0i13
.@SFResearch’s new series “AI Research Lab - Explained” just dropped!
First up? See how we fine-tune specialized models to predict actions, not just language—enabling faster, more precise execution of real-world tasks.
⏯️ Watch and subscribe on YouTube: https://t.co/FeSW84v9Tv
1/ Why has Autonomous Driving (AD) failed? We believe that the key to unlocking AD may be in 1) collecting rich out-of-distribution data from emerging economies such as #Peru; and 2) developing brain-aligned computer vision models #NeuroAI
https://t.co/jtWqX0pYJO
a report summarizing topics and events discussed at the inaugural DMLR workshop @icmlconf this year is now available at
https://t.co/HlioJUsWWs
consider joining the community discord at https://t.co/ncCWIIJh7l for contributions to ongoing and future activities
Behind the #1 AI CRM are scientists, researchers, and engineers enhancing @Salesforce products and pushing the field of AI forward.
@silviocinguetta, @shelbyh_ai, & @nikhil_ai share how @SFResearch has influenced CRM & society.
Get the full story: https://t.co/rbM3d1dbN3 #DF23
Learn about our Salesforce, in-house large foundation models for text and multi-modal applications. Discover how our trusted #AI models can transform your business use cases.
Join us 9/14 at 9 a.m. in AI Landing! #DF23@JotyShafiq@shelbyh_ai@shugerdou
https://t.co/hWfVP7HwLh
@willg_ai, co-founder of @CoactiveAI, is live on stage 2 of the LLM in Production conference! Bringing structure to unstructured data. Join us and throw your questions and thoughts in the chat!
Our #DMLR workshop at @icmlconf accepted 108 submissions!
Thanks to all the authors and reviewers for your hard work. We look forward to seeing you in Hawaii! 🏝️
Excited to share that I'll be giving a lightning talk tomorrow at the LLMs in Production conference
I'll cover key lessons we've learned at @CoactiveAI in designing #ai systems to process unstructured data at scale
A big shoutout to @Dpbrinkm and the @mlopscommunity team!🤘🙌
For folks in #AI working with distributed computing + complex data types (images, audio, etc), @daft_dataframe is a game changer.
Fast, performant and pythonic 👌
@Sammy_Sidhu and Jay are truly ahead of the curve
Why do we benchmark ML but not the data it relies on?
To close this gap, we are excited to announce #DataPerf - a collaboration across academia and industry to benchmark data-centric AI.
Learn more about the image classification benchmark @codyaustun and I created below:
Announcing DataPerf 2023 challenges submission extension to July 1st! Winners will be invited to present at ICML23 & submit for publication to the Data for ML Research journal. Join the challenges today!
https://t.co/GAKiFAKS6E
#DataPerf#MLCommons#startups#academia
Only one week is left to submit your paper to our data-centric ML research (DMLR) workshop at @icmlconf 2023 hosted in Hawaii!🏝️
We have a fantastic line of speakers, including @AndrewYNg, @orussakovsky, @DMachuve, @MihaelaVDS, and more! (1/4)
Very excited to be speaking at NorCalDB Day about Bringing Structure to Unstructured Data with an AI-First System Design! If you're also in attendance, tune in at 3:45pm PT.
https://t.co/YxQ1k7K46d
#NorCalDBDay#datacentricAI
How teachers made a difference in the trajectory of one kid’s life
Learn more about @codyaustun in my latest @educationweek column “Ask a Psychologist.” https://t.co/sDRAW98sMU #helpstudentsthrive
This week @codyaustun & @willg_ai co-Founders @CoactiveAI shared their collective story
Meeting as CS freshmen @MIT + reconnecting after their PhDs to build @CoactiveAI, the HUGE market oppty, why unstructured visual data is hard, and the tech that makes @CoactiveAI so special!