Many formulas or equations are floating around in papers, blogs, etc., about how to calculate training or inference latency and memory for Large Language Models (LLMs) or Transformers. Rather than ...
Why write ten lines of code when one will do? From magic variable swaps to high-speed data counting, these Python snippets ...
A marriage of formal methods and LLMs seeks to harness the strengths of both.
AWS-Lambda-Env-Modeler is a Python library designed to simplify the process of managing and validating environment variables in your AWS Lambda functions. It leverages the power of Pydantic models to ...
Abstract: In order to solve various problems in a Bayesian framework efficiently, it is critical to approximate a posterior distribution. This work provides a Gaussian approximation of a general ...