List: Offline 11/2 | Curated by Connor Shorten

Mar 29, 2023
9 stories
Offline 11/2
In
Gong Tech Blog
by
Omri Allouche
What We’ve Learned From Building AI-Powered Products at GongIntroduction
Mar 9, 2023
1
Mar 9, 2023
1
In
Georgian Impact Blog
by
Georgian
State of Representation Learning — ICLR 2022By: Angeline Yasodhara & Rohit Saha
May 20, 2022
May 20, 2022
In
CodeX
by
Christianlauer
Python 3.11.0 is released — Impacts to Data Science and EngineeringWhat are the Advantages of the new Release?
Oct 25, 2022
3
Oct 25, 2022
3
In
TDS Archive
by
Aparna Dhinakaran
Three Pitfalls To Avoid With EmbeddingsWritten in collaboration with Francisco Castillo Carrasco, data scientist at Arize AI.
Jul 20, 2022
Jul 20, 2022
In
SyncedReview
by
Synced
OpenAI Presents a Simple and Efficient Training Strategy to Boost Language Models’ Text-Infilling…Today’s transformer-based large language models (LLMs) have proven a game-changer in natural language processing, achieving…
Aug 4, 2022
Aug 4, 2022
Kuwar Kapur
Guide to Embeddings in Recommender systems with HugeCTRNVIDIA provides you with an open-source framework Merlin™ which is used for building large-scale deep learning recommender systems. In this…
Aug 13, 2022
2
Aug 13, 2022
2
In
TDS Archive
by
Michael Bronstein
Towards Geometric Deep Learning I: On the Shoulders of GiantsIn a new series of posts, we discuss how geometric ideas of symmetry underpinning Geometric Deep Learning have emerged through history.
Jul 4, 2022
Jul 4, 2022
Hebbia
Hebbia Raises $30 Million, Led by Index Ventures, to Launch the Future of SearchAnnouncing our Series A
Sep 27, 2022
2
Sep 27, 2022
2
In
SyncedReview
by
Synced
Google Introduces RankT5: A Fine-Tuned T5 Model That Boosts Text Ranking and Zero-Shot PerformanceWhile BERT-based models have been applied to various text-ranking tasks, the potential of larger and more powerful sequence-to-sequence T5…
Oct 31, 2022
Oct 31, 2022