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From a Lossless (~1.5:1) Compression Algorithm for Llama2 7B Weights to Variable Precision, Variable Range, Compressed Numeric Data Types for CNNs and LLMs

This paper attempts to address and reconcile two different issues: the existence of multiple numerical data formats (such as int8, bfloat16, fp8, etc., often non optimal for the application and not directly compatible with one another) and the necessity to reduce their bandwidth requirements, especially in the case of power hungry and slow DRAM.
Tim Dettmers Ruslan Svirschevski Tim Dettimers Jarek Duka Furu Wei Alexander Borzunov

Financial Market Applications of LLMs

The AI revolution drove frenzied investment in both private and public companies and captured the public’s imagination in 2023. Transformational consumer products like ChatGPT are powered by Large Language Models (LLMs) that excel at modeling sequences of tokens that represent words or parts of words [2]. Amazingly, structural understanding
Charlie Munger Lasse Pedersen Neural Networksi Sutskever International Conference Large Language Models Hudson River Trading

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OpenAI transcribed millions of hours of YouTube content to train its chatbots, potentially violating copyright laws

To make OpenAI smarter, researchers created a speech-recognition tool called Whisper back in 2021 to train its Large Language Models. The tool was specifically designed to transcribe millions of hours of audio from YouTube videos, which gave the company a massive edge over its competitors, according...
New York United States Greg Brockman Matt Bryant Neal Mohan New York Times

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