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๐Ÿ“… BEYOND SCALING: MAKING LARGE LANGUAGE MODELS EFFICIENT
Starts Jun 17, 2026 1:00 PM
Ends Jun 17, 2026 2:00 PM
Type In person
Views 4
ICS URL
DESCRIPTION

Transformer architectures have enabled the rapid progress of modern language models, but scaling them efficiently remains a major challenge. As models grow larger, compute cost, me...

Transformer architectures have enabled the rapid progress of modern language models, but scaling them efficiently remains a major challenge. As models grow larger, compute cost, memory usage, inference latency, and deployment complexity increase significantly.
In this session, Abhay will discuss practical research directions to improve transformer efficiency in small and medium-sized language models.
The talk will cover architectural experiments, training optimisations, efficient attention mechanisms, memory-efficient techniques, and inference-focused design choices being explored whileโ€ฆ

Hosted by Sourabh Patravale, Jay Joshi & Paras Chopra
๐Ÿ”Ž SOURCE
Imported From Luma
Source City Bangalore
Original Event Open source event https://luma.com/fnsbxsln
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