元素库构建： ▪ 咖啡相关：豆种、烘焙、萃取、风味 ▪ 文化艺术：音乐、绘画、舞蹈、文学 ▪ 科技：AR、VR、AI、物联网 ▪ 环保：可持续、回收、碳中和、生物降解 ▪ 社交：社交媒体、直播、社区、互动 创建包含多样化元素的知识库 从元素库中随机选择元素 强制联系 创意整合 将随机选择的元素强制性地联系起来 基于随机组合生成新的创意概念 极端假设策略（EHS）：突破思维界限

元素库构建： ▪ 咖啡相关：豆种、烘焙、萃取、风味 ▪ 文化艺术：音乐、绘画、舞蹈、文学 ▪ 科技：AR、VR、AI、物联网 ▪ 环保：可持续、回收、碳中和、生物降解 ▪ 社交：社交媒体、直播、社区、互动 创建包含多样化元素的知识库 从元素库中随机选择元素 强制联系 创意整合 将随机选择的元素强制性地联系起来 基于随机组合生成新的创意概念 极端假设策略（EHS）：突破思维界限

person's life.’ At the time, the pace of change catalyzed by the internet was unprecedented. Consider now that AI user and usage trending is ramping materially faster…and the machines can outpace us. The Going Full-Circle: DeepMind’s AlphaGo (2014) started with humans training machines…Duolingo Chess now has machines training humans… Tech Incumbent AI Adoption = Top Priority66 …Tech Incumbent AI Focus realize that AI has now integrated into everything. And in fact, we need AI everywhere. And every region, every industry, every country, every company, all needs AI. AI [is] now part of infrastructure

advantage of how LLMs are trained and how LLMs work will help you get the relevant results from LLMs Now that we understand what prompt engineering is and what it takes, let’s dive into some examples of mozzarella { "size": "large", "type": "normal", "ingredients": [["tomato sauce", "bazel", "mozzarella"]] } Now, I would like a large pizza, with the first half cheese and mozzarella. And the other tomato sauce the hum of malfunctioning machinery, and haunted by the echoes of drowned souls, the facility is now a breeding ground for a nightmare borne from the deep sea. The player, an elite marine equipped with

Seven lessons for enterprise AI adoption Start with evals 6 Embed AI into your products 9 Start now and invest early 11 Customize and fine-tune your models 13 Get AI in the hands of experts 16 Unblock AI in 
 your products Create new customer experiences and more 
 relevant interactions. 03 Start now and 
 invest early The sooner you get going, the more the value compounds. 04 Customize and 
 tune overwhelmingly positive. They’re more 
 engaged with clients, and follow-ups that 
 used to take days now happen within hours. Kaitlin Elliott Head of Firmwide Generative AI Solutions To find out more, watch

DSOModule Function in Other IR ExternFunc te::Function IRModule Custom codegenTimeline RFC: now Main area of focus in next 3-4 month More updates about tensor-level IR at the TVM conferenceCommunityOpen

chip which achieves amazing performance on widely-used operators (e.g. conv2d, dense, ReLU, etc) Now your customer wants to run a YOLO model, but... ResNet-50 Dense Non Maximum Suppression Non Maximum

TVM @ Hexagon DSP 。， Performance is our focus next. We tvm.caLL_pure_intrin begin to do some work now. Such 本 站,可 as writing Tensorize to generate vec tvm,const(0， vrmpy instruction when

671B（全量模型） 需注册微软账户并创建订阅，免费部署，支持参数调节。 亚马逊AWS https://aws.amazon.com/c n/blogs/aws/deepseek-r1- models-now-available-on- aws 671B（全量模型） 需注册AWS账户，填写付款方式，免费部署。 Cerebras https://cerebras.ai 70B 邮箱注册，速度快，宣称比GPU方案快57倍。