GenerativeAI April Meetup Introduction to quantization in Deep Neural NetworksThis talk introduces the technique of quantization in Deep Neural Networks, why it is important, and the foundational ideas behind achieving it. All the sources for the concepts in the talk are included in the linked repo. more
|
Bangalore Systems Meetup #3 Boundary Conditions: Reviewing mental models of hardware & softwareDescription All of us have some mental models around the hardware & software we use, e.g. “stack is faster, heap is slower”. Most of these rules/models have a good reason behind them - simplified abstractions allow us to think at a higher plane without being distracted by low level details. more
|
Rootconf Mini 2024 (on 22nd & 23rd Nov) Revisiting Abstractions for Fun & ProfitAbstractions are great! They help us think without being overwhelmed by details. But sometimes they can come at the cost of understanding, where they become a wall that we don’t wish to climb. That limits us, because when they change, a lot of us can’t keep up. more
Submission type: 40 min talk
Track in which your submission fits: Systems engineering
|