Launch of ChatGPT 2022* Knowledge Distribution Evolution = Over ~Six Centuries26 Knowledge is a process of piling up facts; wisdom lies in their simplification. Martin H. Fischer, German-born American Milestone Timeline – 2023-2025, per Stanford University *Multimodal = AI that can understand and process multiple data types (e.g., text, images, audio) together. **Open-source = AI models and tools made AI Will Likely Do in Ten Years, per ChatGPT Source: ChatGPT (5/15/25) AI = Circa 2035?36 AI Development Trending = Unprecedented37 Machine-Learning Model* Trending = In 2015... Industry Surpassed Academia

value faster and with greater buy-in from 
 users and stakeholders. Our approach: iterative development OpenAI is organized around three teams. Our Research Team advances the foundations of AI, developing summary Seven lessons for enterprise AI adoption 01 Start with evals Use a systematic evaluation process to measure how 
 models perform against your use cases. 02 Embed AI in 
 your products Create new hands 
 of experts The people closest to a process are best-placed to improve 
 it with AI. 06 Unblock your
 developers Automating the software development lifecycle can multiply 
 AI dividends. 07

Language Models (LLMs) (Anthropic, 2023; Google, 2023; OpenAI, 2022, 2023) have undergone rapid development, offering a glimpse into the dawn of Artificial General Intelligence (AGI). In general, the intelligence models, and even beats most of closed-source models. In order to facilitate further research and development on MLA and DeepSeekMoE, we also release DeepSeek-V2-Lite, a smaller model equipped with MLA and total KV cache containing (?? + ?? ℎ)? elements. In order to demonstrate the complete computation process of MLA, we also organize and provide its full formulas in Appendix C. 2.1.4. Comparison of Key-Value

style and tone, structure, and context all matter. Therefore, prompt engineering is an iterative process. Inadequate prompts can lead to ambiguous, inaccurate responses, and can hinder the model’s ability right sequence of tokens. Prompt engineering is the process of designing high-quality prompts that guide LLMs to produce accurate outputs. This process involves tinkering to find the best prompt, optimizing creating a loop due to the vast number of available options. In both cases, the model's sampling process gets "stuck," resulting in monotonous and unhelpful output until the output window is filled. Solving

Scientist and SDE positions 2. Internship for students interested in ML system. 3. Research & Development 3. Please contact Yida (wangyida [AT] amazon [DOT] com) if interested. We are hiring! 1 2

Apache TVM recently. Independent governance, allowing competitors to collaborate. Open Code Open Development Open GovernanceAcknowledgement Apache (incubating) TVM community Our awesome community members

multi-process pipeline using shared memory Usually need >4 Pre-Process cores running to keep up with FPGA ˃ TVM pipeline needed. CPU/FPGA partitions ideally run in parallel >> 13 Post-Process (fc/softmax/nms) (fc/softmax/nms) FPGA Acceleration Pre-Process (resize)© Copyright 2018 Xilinx FPGA Pipeline report in MLSuite 1.5 (animated gif of ResNet-50, view in slideshow mode) >> 14© Copyright 2018 Xilinx Quantization

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 is a fundamental ecological process,defined as one organism (predator) preying onanother organism (prey) (Begon et al., 1997). 在群 types of materials suffer from large volume expansion/shrinkage during the lithiation/delithiation process, leading to the formation of cracks, separation of active material from the current collector, issue lies in their large volume expansion and shrinkage during the lithiation and delithiation process. This can result in the formation of cracks, active material separating from the current collector

30 31 32 33 34 35 36 37 38 39 40 41 42 ), tools=[track_order_status, initiate_refund_process] ) triage_agent = Agent( name=Triage Agent", instructions= , handoffs=[technical_support_agent guardrails such as regex, and the OpenAI moderation API to vet our user inputs. Respond ‘we cannot process your message. Try again!’ Continue with function call Handoff to Refund agent Call initiate_


需要考虑的因素 任务目标、目标受众、文章类型、字数要求、特殊要求 在分析阶段，首先明确 任务目标和关键问题 通过四个关键步骤：分析（Analysis）、构思（Ideation）、发展（Development） 和评估（Assessment），为提示语链的设计提供系统化的指导。 构思阶段注重创新性思 维，探索多种解决方案 在发展阶段，逐步深化 构思并形成具体的内容 方案 最后的评估阶段用于反