Usage + Cost + Loss Growth = Unprecedented • AI Monetization Threats = Rising Competition + Open-Source Momentum + China’s Rise • AI & Physical World Ramps = Fast + Data-Driven • Global Internet User User + Usage + CapEx Growth = Unprecedented Developers in Leading Chipmaker’s Ecosystem 1 2.1 Source: Leading Chipmaker Details on Page 38 AI User + Usage + CapEx Growth = Unprecedented 2.2 Internet mobile app users. App not available in select countries, including China and Russia, as of 5/25. Source: United Nations / International Telecommunications Union (3/25), Sensor Tower (5/25) 0 Years In

maximum generation throughput to 5.76 times. We pretrain DeepSeek-V2 on a high-quality and multi-source corpus consisting of 8.1T tokens, and further perform Supervised Fine-Tuning (SFT) and Reinforcement activated parameters, DeepSeek-V2 and its chat versions still achieve top-tier performance among open-source models. The model checkpoints are available at h t t p s : / / g i t h u b . c o m / d e e p s e (Tokens/Sec) (b) Figure 1 | (a) MMLU accuracy vs. activated parameters, among different open-source models. (b) Training costs and inference efficiency of DeepSeek 67B (Dense) and DeepSeek-V2. Contents

fully take over certain tasks without the original agent needing to remain involved. Optionally, you can equip the second agent with a handoff back to the original agent, allowing it to transfer control reputational risks (for example, enforcing brand aligned model behavior). 
 You can set up guardrails that address risks you’ve already identified for your use case and layer 
 in additional ones as you uncover new preventing outputs that 
 could harm your brand’s integrity. Building guardrails Set up guardrails that address the risks you’ve already identified for your use case and layer in additional ones as you uncover

model, regardless of whether you use Gemini language models in Vertex AI, GPT, Claude, or an open source model like Gemma or LLaMA. Besides the prompt, you will also need to tinker with the various configurations consistency Yeah those topics seem like a good fit for a first-person video game. Let’s go back to the original prompt, but this time we include the answer of the step back as context and see what it will return February 2025 33 Prompt EMAIL: ``` Hi, I have seen you use Wordpress for your website. A great open source content management system. I have used it in the past too. It comes with lots of great user plugins

ChatGPT Enterprise and our API. And our Deployment Team takes these products into companies to address their most pressing use cases. We use iterative deployment to learn quickly from customer use Intelligence Product Note: OpenAI has launched Vision Fine-Tuning to further improve ecommerce search and address challenges in medical imaging and autonomous driving. 14 AI in the EnterpriseWhat is fine-tuning interface. Developers now build consistently 
 high-quality apps, faster, without having to get into the source code. Security, guardrails, and routing logic are all built in. 18 AI in the EnterpriseAs a result

process. 1oss_scale_manger = tf.contrib.mixed_precision.FixedLossScaleManager(5666) # Wraps the original optimizer in a LossScale0ptimizer . loss_scale_optimizer = LossScaleOptimizer(opt，1oss_scale_manager)

言写的，然后翻译。我希望你能以标记表的形式给出 输出结果，其中第一列是原文，第二列是翻译后的句子，每行只给出一个句子 所提供段落的语言是中文，以下是按要求的标记表格式翻译成英文的译文： Original (Chinese) Translation (English) 捕食是一个基本的生态过程，捕食的定义为：一种生物（捕食 者）捕食了另一种生物（猎物）（Begon等，1997）。 Predation

Inference engines DL Compilers Kenrel Libraries Hardware CuDNN NNPack MKL-DNN Hand optimized Open source, automated end-to- end optimization framework for deep learning.TVM Stack High-Level Differentiable (ISA) VTA MicroArchitecture VTA Simulator} compiler, driver, hardware design full stack open source Current TVM Stack VTA Runtime & JIT CompilerTSIM: Support for Future Hardware Current TVM Stack next 3-4 month More updates about tensor-level IR at the TVM conferenceCommunityOpen Source Community Open source: ~280 contributors from UW, Berkeley, Cornell, UCLA, Amazon, Huawei, NTT, Facebook,

Q OctoML Open Source at O〇ctoML TVM Meetup 11/8/2019 Jared Roesch OctoML is a new company building DL deployment solutions using the Apache (incubating) TVM project. A goal is to nurture the TVM community and machine learning tr tvm 。 @zxnet 和os 全 W Open Source at OctoML ee We are big believers in the power of open source o 5S$ponsoring multiple employees to contribute to TVML. ee Today

collaborative seamless integration with the ecosystem of AI/ML software frameworks and librariesArm NN open source project ● Linaro-hosted https://www.mlplatform.org/ ● Git and review servers ● Forums and issue