You are welcome! And yes, those two I mentioned above would be examples of that. Also RentionNet but that didn’t fit within the tweet limit
MACHINE LEARNING
-
MIT Algorithm Addresses Temporal Shift in Healthcare ML Models
By
–
Temporal shift can hurt the performance of ML models in production. MIT researchers propose algorithm to examine this issue in study w/1.6 million patients' health insurance claims:
https://
bit.ly/3pLHCks @christina_x_ji
, @_ahmedalaa
, and @david_sontag -
Curated Transformers Library Reaches v1.0 with PyTorch Implementations
By
–
Curated Transformers is our new library of PyTorch LLM and other transformer implementations — now at v1.0! The library features well-factored implementations of common architectures, including Llama 2, Falcon, BERT and many more. Architectures are implemented from common https://
x.com/spacy_io/statu
/spacy_io/status/1687103018628722688
… -
DeepMind’s Outstanding Paper Award on Game Tree Adaptation
By
–
Congrats to @GoogleDeepMind
’s Remi Munos, @misovalko
, & team on the Outstanding Paper Award at @ICMLConf
! “Adapting to game trees in zero-sum imperfect information games” helps answer: how do you make the best move in a game w/ only partial info? Paper: https://
openreview.net/pdf?id=O1j4uFu
SVW
… -
Will AI Replace Jobs? 9 Job Types Affected
By
–
Will AI replace jobs? 9 job types that might be affected
#AI #AIio #BigData #ML #NLU #Futureofwork @CRudinschi @AntonioSelas @alexjc @RobotLaunch @karpathy @andyjankowski @bobgourley @CadeMetz http://
ow.ly/T9GV30swzJF -
Transformers Can Be Applied to Tabular Non-Time Series Data
By
–
Yup there are transformers for tabular non-time series data
-
Transformers and LLMs: Beyond the Common Assumption
By
–
Not all transformers are LLMs, since transformers can also be used for computer vision. And not all LLMs are transformers as there are large language models based on – recurrent (RWKV, https://
arxiv.org/abs/2305.13048) – or convolutional (Hyena, https://
arxiv.org/abs/2302.10866) approaches. -
Annotate Datasets with CVAT and Train YOLOv8 Models
By
–
Hey, you can annotate your dataset using CVAT and then train it using Ultralytics YOLOv8. Checkout https://
learnopencv.com/a-closer-look-
at-cvat-perfecting-your-annotations/
… and https://
learnopencv.com/train-yolov8-o
n-custom-dataset/
… for more info. -
Building Early Career Talent for In-Demand AI Skills
By
–
To build early: By focusing on early career talent, we can access a diverse pool of individuals who possess niche, in-demand skills, enabling them to make a significant impact
-
Vector Discussion at MDB Local NYC Conference
By
–
You should have come to MDB.local NYC so that a) I got to see you and b) you could talk vector with us, too 🙂