& Work Evolution = Real + Rapid 9 1 2 3 4 5 6 7 8 Outline10 Technology Compounding = Numbers Behind The Momentum11 Technology Compounding Over Thousand-Plus Years = Better + Faster + Cheaper Microsoft Report (5/23); Data via Maddison Project & Our World in Data Technology Compounding = Numbers Behind The Momentum Global GDP – Last 1,000+ Years, per Maddison Project 1100 1000 1300 1200 1400 Billions of Units MM Units in Log Scale Technology Compounding = Numbers Behind The Momentum13 AI Technology Compounding = Numbers Behind The Momentum14 260% Annual Growth Over Fifteen Years of… Data

⩽ ? ⩽ ??}, ??), 0, otherwise, (21) ??,? = Softmax? �u? ?e? � , (22) where ?? and ?? denote the numbers of shared experts and routed experts, respectively; FFN(?) ? (·) and FFN(?) ? (·) denote the ?-th HellaSwag. PROMPT def starts_one_ends(n): """ Given a positive integer n, return the count of the numbers of n-digit positive integers that start or end with 1. """ Table 26 | An example of HumanEval. an expert Python programmer, and here is your task: Write a python function to identify non-prime numbers. Your code should pass these tests: assert is_not_prime(2) == False assert is_not_prime(10) == True

its Affiliates. All rights reserved. Quantization Overview • Represent FP32 numbers with a lower-precision INT8 numbers • Integer number stands as a proxy for FP32 number (not a downcast) • Quantized

mathematical tasks and can provide incorrect answers – even for a task as simple as multiplying two numbers. This is because they are trained on large volumes of text and math may require a different approach

is crucial formaintaining population structure stability, food webprocesses, and stable species numbers within thepopulation (Menge et al, 1986; Garrity and Levings1981; Murdoch and Oaten, 1975). 一些因子，如: