 Trends Artificial Intelligence
lead to Mutually Assured Deterrence. For some, the evolution of AI will create a race to the bottom; for others, it will create a race to the top. The speculative and frenetic forces of capitalism and released’ in 1993 with release of the World Wide Web (WWW) into the public domain, which allowed users to create websites; however, Tim Berners-Lee invented the World Wide Web in 1989, per CERN. Source: Google user ramp ever for a standalone product (5 days to secure 1MM users). Generative AI = AI that can create content – text, images, audio, or code – based on learned patterns. Source: OpenAI Generative AI0 码力 | 340 页 | 12.14 MB | 4 月前3 Trends Artificial Intelligence
lead to Mutually Assured Deterrence. For some, the evolution of AI will create a race to the bottom; for others, it will create a race to the top. The speculative and frenetic forces of capitalism and released’ in 1993 with release of the World Wide Web (WWW) into the public domain, which allowed users to create websites; however, Tim Berners-Lee invented the World Wide Web in 1989, per CERN. Source: Google user ramp ever for a standalone product (5 days to secure 1MM users). Generative AI = AI that can create content – text, images, audio, or code – based on learned patterns. Source: OpenAI Generative AI0 码力 | 340 页 | 12.14 MB | 4 月前3
 TVM@AliOSDSP Processor /NiiOS ! 驱动万物智能 Alios TVM Q@ Hexagon DSP 。, Add Hexagon Code Generator inherits LLVM and could generate HVX instruction 。, Add one Hexagon runtimes named as libtvm_hexagon_runtime0 码力 | 27 页 | 4.86 MB | 5 月前3 TVM@AliOSDSP Processor /NiiOS ! 驱动万物智能 Alios TVM Q@ Hexagon DSP 。, Add Hexagon Code Generator inherits LLVM and could generate HVX instruction 。, Add one Hexagon runtimes named as libtvm_hexagon_runtime0 码力 | 27 页 | 4.86 MB | 5 月前3
 Google 《Prompt Engineering v7》you may not always get the same output with temperature 0). Temperatures close to the max tend to create more random output. And as temperature gets higher and higher, all tokens become equally likely JSON objects from a prompt that extracts data. In a real-world application I don’t need to manually create this JSON format, I can already return the data in a sorted order (very handy when working with with datetime objects), but most importantly, by prompting for a JSON format it forces the model to create a structure and limit hallucinations. System prompts can also be really useful for safety and toxicity0 码力 | 68 页 | 6.50 MB | 6 月前3 Google 《Prompt Engineering v7》you may not always get the same output with temperature 0). Temperatures close to the max tend to create more random output. And as temperature gets higher and higher, all tokens become equally likely JSON objects from a prompt that extracts data. In a real-world application I don’t need to manually create this JSON format, I can already return the data in a sorted order (very handy when working with with datetime objects), but most importantly, by prompting for a JSON format it forces the model to create a structure and limit hallucinations. System prompts can also be really useful for safety and toxicity0 码力 | 68 页 | 6.50 MB | 6 月前3
 清华大学 DeepSeek+DeepResearch 让科研像聊天一样简单you create a heatmap using this data? 创建一个热力图 Can you segment this data and create a table? 切分数据 Can you create a graph using this data? 制作一个图 Can you create a world cloud? 做一个词云 Can you create a chart you make the graphs more beautiful? 把图美化一下 Can you write a one sentence recap of this data? 快速回顾一下 Create a visual chart, based on this data. 做一个视觉图表 What’s the main takeaway from this dataset? 找出最主要的信息 this dataset like I’m 5 years old? 像给五岁小朋友讲故事那样解释一 下这个数据集 Can you create a presentation based this dataset? 做一个整体展示 Can you create 10 graphs to present different data? 创作10个不同的图展示数据 Can you write me0 码力 | 85 页 | 8.31 MB | 8 月前3 清华大学 DeepSeek+DeepResearch 让科研像聊天一样简单you create a heatmap using this data? 创建一个热力图 Can you segment this data and create a table? 切分数据 Can you create a graph using this data? 制作一个图 Can you create a world cloud? 做一个词云 Can you create a chart you make the graphs more beautiful? 把图美化一下 Can you write a one sentence recap of this data? 快速回顾一下 Create a visual chart, based on this data. 做一个视觉图表 What’s the main takeaway from this dataset? 找出最主要的信息 this dataset like I’m 5 years old? 像给五岁小朋友讲故事那样解释一 下这个数据集 Can you create a presentation based this dataset? 做一个整体展示 Can you create 10 graphs to present different data? 创作10个不同的图展示数据 Can you write me0 码力 | 85 页 | 8.31 MB | 8 月前3
 OpenAI - AI in the Enterpriseprocess to measure how models perform against your use cases. 02 Embed AI in your products Create new customer experiences and more relevant interactions. 03 Start now and invest early The things only people can do. And because AI can process huge amounts of data from many sources, it can create customer experiences that feel more human because they’re more relevant and personalized. Indeed and time,” says Elena Alfaro, Head of Global AI Adoption at BBVA. “With custom GPTs, anyone can create apps to solve unique problems—it’s very easy to start.” In five months, BBVA employees created0 码力 | 25 页 | 9.48 MB | 5 月前3 OpenAI - AI in the Enterpriseprocess to measure how models perform against your use cases. 02 Embed AI in your products Create new customer experiences and more relevant interactions. 03 Start now and invest early The things only people can do. And because AI can process huge amounts of data from many sources, it can create customer experiences that feel more human because they’re more relevant and personalized. Indeed and time,” says Elena Alfaro, Head of Global AI Adoption at BBVA. “With custom GPTs, anyone can create apps to solve unique problems—it’s very easy to start.” In five months, BBVA employees created0 码力 | 25 页 | 9.48 MB | 5 月前3
 OpenAI 《A practical guide to building agents》When creating routines, use existing operating procedures, support scripts, or policy documents to create LLM-friendly routines. In customer service for example, routines can roughly map to individual leaves less room for errors in interpretation. Capture edge cases Real-world interactions often create decision points such as how to proceed when a user provides incomplete information or asks an0 码力 | 34 页 | 7.00 MB | 6 月前3 OpenAI 《A practical guide to building agents》When creating routines, use existing operating procedures, support scripts, or policy documents to create LLM-friendly routines. In customer service for example, routines can roughly map to individual leaves less room for errors in interpretation. Capture edge cases Real-world interactions often create decision points such as how to proceed when a user provides incomplete information or asks an0 码力 | 34 页 | 7.00 MB | 6 月前3
 Deepseek R1 本地部署完全手册PARAMETER temperature 0.6 TEMPLATE "<|end▁of▁thinking|>{{ .Prompt }}<|end▁of▁thinking|>" ollama create DeepSeek-R1-UD-IQ1_M -f DeepSeekQ1_Modelfile ollama run DeepSeek-R1-UD-IQ1_M --verbose sudo fallocate0 码力 | 7 页 | 932.77 KB | 8 月前3 Deepseek R1 本地部署完全手册PARAMETER temperature 0.6 TEMPLATE "<|end▁of▁thinking|>{{ .Prompt }}<|end▁of▁thinking|>" ollama create DeepSeek-R1-UD-IQ1_M -f DeepSeekQ1_Modelfile ollama run DeepSeek-R1-UD-IQ1_M --verbose sudo fallocate0 码力 | 7 页 | 932.77 KB | 8 月前3
 Bring Your Own Codegen to TVMwith an external codegen mod = relay.build_extern(mod, “dnnl”) 4. Run the inference exe = relay.create_executor(“vm”, mod=mod, ctx=tvm.cpu(0)) data = np.random.uniform(size=(1, 3, 224, 224)).astype(“float32”)0 码力 | 19 页 | 504.69 KB | 5 月前3 Bring Your Own Codegen to TVMwith an external codegen mod = relay.build_extern(mod, “dnnl”) 4. Run the inference exe = relay.create_executor(“vm”, mod=mod, ctx=tvm.cpu(0)) data = np.random.uniform(size=(1, 3, 224, 224)).astype(“float32”)0 码力 | 19 页 | 504.69 KB | 5 月前3
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