Sentence Transformers (a.k.a. SBERT) is the go-to Python module for accessing, using, and training state-of-the-art text and image embedding models.
In this talk we will cover:
BERT model
How Sentence Transformer augment BERT to produce better embeddings
Training and finetuning using Sentence Transformers
Ankush Chander is a Research Engineer with focus on Natural Language Processing and Information Retrieval. He completed his Masters degree from DA-IICT, Gandhinagar, Gujarat, India in 2016. Post that he co-founded RAx (now Enago Read) where he also worked as Research Engineer from 2016 to 2023. Previously he has worked as a Web Developer in MothersonSumi Infotech & Design Ltd. He is also an Open source enthusiast and has contributed to projects like Pytextrank, Argilla, kglab.
In his free time, he writes Obsidian plugins.
github: https://github.com/Ankush-Chander
Title
Introduction to Sentence Transformers
Describe your Talk
Sentence Transformers (a.k.a. SBERT) is the go-to Python module for accessing, using, and training state-of-the-art text and image embedding models. In this talk we will cover:
Pre-requisites & reading material
Time required for the talk
40 min + 10
Link to slides/demos
No response
About you
Ankush Chander is a Research Engineer with focus on Natural Language Processing and Information Retrieval. He completed his Masters degree from DA-IICT, Gandhinagar, Gujarat, India in 2016. Post that he co-founded RAx (now Enago Read) where he also worked as Research Engineer from 2016 to 2023. Previously he has worked as a Web Developer in MothersonSumi Infotech & Design Ltd. He is also an Open source enthusiast and has contributed to projects like Pytextrank, Argilla, kglab. In his free time, he writes Obsidian plugins. github: https://github.com/Ankush-Chander
Availability
27/07/2024
Any comments
No response