the government context, Agile represents a good development approach when customizing an existing system or commercial off-the-shelf (COTS) product, or building a small-scale or self-constrained application into an existing operational baseline, system, or platform. Although it may not be the easiest approach, the government can also use Agile to build a large IT system from the ground up; however, in this the operational baseline. Several large acquisition programs, such as the Global Combat Support System-Joint (GCSS-J), have adopted Agile methods to build a future increment or block of capability.

on internet infrastructure, which allows for wicked-fast adoption of easy-to-use broad-interest services. AI Technology Compounding = Numbers Behind The Momentum22 Knowledge Distribution Evolution = multimodality across audio, visual, & text inputs 7/24: Apple releases Apple Intelligence, an AI system integrated into its devices, for developers 12/24: OpenAI announces o3, its highest-ever Unprecedented41 AI Performance = In 2024… Surpassed Human Levels of Accuracy & Realism, per Stanford HAI AI System Performance on MMLU Benchmark Test – 2019-2024, per Stanford HAI Note: The MMLU (Massive Multitask

© 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon/Intel Confidentia Presenter: Zhi Chen, Cody Yu Amazon SageMaker Neo, Deep Engine Science Bring Your Own Codegen to TVM TVM AWS AI© 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Considering You... Design and manufacture a deep learning chip which achieves amazing performance on widely-used operators Suppression (NMS) is too new to be supported by your chip But NMS is supported by TVM!© 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Let TVM Be the Compiler of Your Chip Your chip can

organization iii. ENABLING ORGANIZATIONAL LEARNING AND A SAFETY CULTURE 1. When we work within a complex system, by definition it is impossible for us to perfectly predict all the outcomes for any action we processes, often to help individual departments maintain their “turf.” Failure is processed through a system of judgment, resulting in either punishment or justice and mercy. c. Generative organizations TO START 47 7. Ch. 5 Selecting Which Value Stream to Start With 51 a. GREENFIELD vs BROWNFIELD SERVICES i. DevOps is not just for Greenfield ii. Important Predictor – Is the application architected

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 121 6.6 Integration with other services . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 136 6.7 Utilities asyncio.Event().wait() if __name__ == '__main__': asyncio.run(main()) Configure your operating system or process manager to run this program to start the server. Please note that it may be necessary handle caching of the result. 6.2.2 tornado.template — Flexible output generation A simple template system that compiles templates to Python code. Basic usage looks like: t = template.Template("{{

consistent, & secure c. CREATE OUR SINGLE REPOSITORY OF TRUTH FOR THE ENTIRE SYSTEM i. ALL parts (code & environments) of the system are shared in a version control repository ii. Version control is for introduced iv. Integration tests – ensure correct interaction with other production applications and services g. CATCH ERRORS AS EARLY IN OUR AUTOMATED TESTING AS POSSIBLE i. A test suite’s goal is to find When a change causes the build or automated tests to fail: 1. No new work is allowed to enter the system until the problem is fixed. 2. Bring in whatever help is needed to resolve the problem iii. Prioritize

Accidents are due to the inevitable design problems in complex systems that we build; they are system problems – not individual problems iii. Effective practices 1. Blameless post-mortems 2. Controlled “could have” a. These are counterfactual statements b. Frames the problem as the system as imagined rather than the system that actually exists 4. Focus on – “Why did it make sense to me when I took that and behavior of libraries and components ii. Test suite becomes the living documentation of the system specification and represent working examples of API use e. DESIGN FOR OPERATIONS THROUGH CODIFIED

Logging Levels 1. Debug – anything that happens in the program 2. Info – user driven actions or system specific 3. Warn – conditions that could become an error and will likely trigger an alert 4. Error GTP Security & Risk Management group) 1. Authentication/authorization decisions 2. System and data access 3. System and application changes, especially privileged changes 4. Data changes (CRUD) 5. Invalid INITIALLY SELF-MANAGE THEIR PRODUCTION SERVICE i. Google has development groups self-manage their services in production before they become eligible for Ops group to manage. 1. Define launch requirements

systems that preserve many of the advantages of buying off the shelf.  The risk of developing a system incrementally and altering it based on user feedback is often lower than that of buying a finished change.  The advantages of the agility that can be gained through a flexible, changeable, custom system —a smooth rather than a lumpy EA, as we put it in the last chapter—are becoming morecompelling, and developer incorporates open source frameworks, uses standardized design patterns, and orchestrates services that are already available.  There are “cookbooks” available with templates for deploying systems

Amazon Web Services, Inc. or its Affiliates. All rights reserved. Presenter: Haichen Shen, Yao Wang Amazon SageMaker Neo, Deep Engine Science Dynamic Model in TVM AWS AI© 2019, Amazon Web Services, Inc. loop Limitation of TVM/graph runtime ● Cannot compile and run dynamic models© 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Support dynamic model in TVM ● Support Any-dim in dispatch for a (sub-)graph In collaboration with Jared Roesch, Zhi Chen, Wei Chen© 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved. “Any” in Relay typing Any: represent an unknown