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Allen School News » In new Nature paper, Allen School researchers slide into the future of cancer diagnosis with groundbreaking AI model for digital pathology

Digital pathology promises to revolutionize medicine by transforming tissue samples into high-resolution images that can be shared and analyzed using powerful new computational tools to assist with clinical decision-making and personalize patient care. But there are challenges to be overcome to achieve this bold new vision for medicine. In a…

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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.

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How Document AI Is Transforming Document-Intensive Processes

Document AI leverages the power of artificial intelligence to extract relevant data from a wide range of documents, including invoices and receipts

Ming zhouCha zhangFuru weiMinghao liYiheng xuJunlong liGeewook kimShaohan huangOptical character recognitionDocument image understandingLei cuiSelf supervised pre trainingDocument image transformerImage transformers

Prompt Engineering Amplified Via An Impressive New Technique That Uses Multiple Personas All At Once During Your Generative AI Session

Latest advance in prompt engineering for generative AI consists of leveraging multi-personas in a solo generative AI session. Here s how it works and my best tips.

Wenshan wuFuru weiBard googleDazza greenwoodZhenhailong wangShaoguang maoCheng jiResearch on generative ai about multiple personasAmerican bar associationCognitive synergy in large language modelsTask solving agent through multi personaLarge language modelsSolo performance promptingPersona identificationBeginning remarksMulti persona iterative collaboration

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