hurrycane
Insights from Multilingual Curation for a 20T-Token Dataset
DatBench fixes VLM evals: 70% blindly solvable, 42% mislabeled, 35% prod gap
DatBench: Cut VLM eval compute by >10× while INCREASING signal
Luxical: Lexical-Dense Embeddings for Web-Scale Data Curation (3×–100× Faster)
Arcee Trinity Mini: US-Trained Moe Model
BeyondWeb: Lessons from Scaling Synthetic Data for Trillion-Scale Pretraining
BeyondWeb: Lessons from Scaling Synthetic Data for Trillion-Scale Pretraining
Image-Text Curation for 1B+ Data: Faster, Better, Smaller Clip Models
Zico Kolter Joins OpenAI's Board of Directors
Re:Ask HN: Who is hiring? (June 2024)
on Monday June 03, 2024 @05:41PM (#40567892)
DatologyAI | Member of Technical Staff | Full-time | Onsite, Redwood City, California | https://www.datologyai.com/
At DatologyAI, we build tools to improve large-scale deep-learning models by selecting the right training data. We are automating data curation at petabyte scale, helping customers to train models faster, to better performance, and enabling smaller models to achieve performance competitive with much larger models. Models are what they eat, and the data models ingest determines everything about their capabilities.
Since founding less than a year ago, we have raised $57.6M, including a $46M Series A in May 2024. Our backers include AI luminaries Geoff Hinton, Yann LeCun, Jeff Dean, and Amazon and Microsoft.
We are hiring: Research Scientist: https://jobs.ashbyhq.com/DatologyAI/d5090b17-8b58-42ee-afa6-...
Data Infra Engineer: https://jobs.ashbyhq.com/DatologyAI/7a64144a-c612-4af8-bdf8-...
ML Engineer: https://jobs.ashbyhq.com/DatologyAI/c64f9ea8-0943-476d-aabd-...
ML Infra Engineer: https://jobs.ashbyhq.com/DatologyAI/b5a42904-d7ec-45a4-96df-...
Full Stack Engineer: https://jobs.ashbyhq.com/DatologyAI/5546e184-6f86-4540-868d-...
See more details on our mission here: https://www.datologyai.com/post/introducing-datologyai-makin...
Augmenting Segment customer data with behavioral signals using the Moonsense SDK
Moonsense Recorder – Build live prototypes using mobile device sensor data
From the Gym to a Jupyter Notebook – Building a Squats Counter App in a Day
WeWork to Become Publicly Traded via SPAC
Reducing indexing latency of Twitter Search to one second
Twitter meets TensorFlow
5 steps to better GCP network performance
Feature Visualization
AVA: A Finely Labeled Video Dataset for Human Action Understanding
Re:Ask HN: How technically hard was it for Twitter to move to 280 chars?
on Wednesday September 27, 2017 @01:34PM (#15350197)
Here's a blog article regarding the changes required for search to support the tweet length changes: https://blog.twitter.com/engineering/en_us/topics/infrastruc...