https://try.github.io/levels/1/challenges/1 https://www.atlassian.com/university From: www.atlassian.com Mapping out Agile with the Atlassian Tool Suite

releases GPT-1, the first of their large language models 6/20: OpenAI releases GPT- 3, an AI tool for automated conversations; Microsoft exclusively licenses the model 11/22: OpenAI releases limitations due to government restrictions. 3/23: Microsoft Integrates Copilot into its 365 product suite 3/23: Anthropic releases Claude, its AI assistant focused on safety & inter- pretability = Talking-the-Talk Source: Roblox (5/1/25), NVIDIA (5/18/25) We view AI as a human acceleration tool that will allow individuals to do more... I believe long term, we will see people coupled with…

https://github.com/Xilinx/AI-Model-Zoo (embedded i.e. ZC104/Ultra96) https://github.com/Xilinx/ml-suite/blob/master/examples/caffe/Benchmark_README.md Two measurements we track: Latency & Throughput ˃ Performance results based on Xilinx own runtime pipeline available in github (https://github.com/Xilinx/ml-suite/blob/master/examples/deployment_modes/mp_classify.py) Streamlined multi-process pipeline using shared 5 (animated gif of ResNet-50, view in slideshow mode) >> 14© Copyright 2018 Xilinx Quantization Tool – vai_q ˃ 4 commands in vai_q quantize ‒ Quantize network test ‒ Test network accuracy finetune

check for wraparound effects that can result from such overflows. The Base.Checked module provides a suite of arithmetic operations equipped with overflow checks, which trigger errors if an overflow occurs internals of a program and its types just like any other data. Warning Metaprogramming is a powerful tool, but it introduces complexity that can make code more difficult to understand. For example, it can quoted return expression using the function macroexpand (important note: this is an extremely useful tool for debugging macros): julia> ex = macroexpand(Main, :(@sayhello("human")) ) :(Main.println("Hello

check for wraparound effects that can result from such overflows. The Base.Checked module provides a suite of arithmetic operations equipped with overflow checks, which trigger errors if an overflow occurs internals of a program and its types just like any other data. Warning Metaprogramming is a powerful tool, but it introduces complexity that can make code more difficult to understand. For example, it can quoted return expression using the function macroexpand (important note: this is an extremely useful tool for debugging macros): julia> ex = macroexpand(Main, :(@sayhello("human")) ) :(Main.println("Hello

check for wraparound effects that can result from such overflows. The Base.Checked module provides a suite of arithmetic operations equipped with overflow checks, which trigger errors if an overflow occurs internals of a program and its types just like any other data. Warning Metaprogramming is a powerful tool, but it introduces complexity that can make code more difficult to understand. For example, it can quoted return expression using the function macroexpand (important note: this is an extremely useful tool for debugging macros): julia> ex = macroexpand(Main, :(@sayhello("human")) ) :(Main.println("Hello

check for wraparound effects that can result from such overflows. The Base.Checked module provides a suite of arithmetic operations equipped with overflow checks, which trigger errors if an overflow occurs internals of a program and its types just like any other data. Warning Metaprogramming is a powerful tool, but it introduces complexity that can make code more difficult to understand. For example, it can quoted return expression using the function macroexpand (important note: this is an extremely useful tool for debugging macros): julia> ex = macroexpand(Main, :(@sayhello("human")) ) :(Main.println("Hello

check for wraparound effects that can result from such overflows. The Base.Checked module provides a suite of arithmetic operations equipped with overflow checks, which trigger errors if an overflow occurs internals of a program and its types just like any other data. Warning Metaprogramming is a powerful tool, but it introduces complexity that can make code more difficult to understand. For example, it can quoted return expression using the function macroexpand (important note: this is an extremely useful tool for debugging macros): julia> ex = macroexpand(Main, :(@sayhello("human")) ) :(Main.println("Hello

check for wraparound effects that can result from such overflows. The Base.Checked module provides a suite of arithmetic operations equipped with overflow checks, which trigger errors if an overflow occurs internals of a program and its types just like any other data. Warning Metaprogramming is a powerful tool, but it introduces complexity that can make code more difficult to understand. For example, it can quoted return expression using the function macroexpand (important note: this is an extremely useful tool for debugging macros): julia> ex = macroexpand(Main, :(@sayhello("human")) ) :(Main.println("Hello

check for wraparound effects that can result from such overflows. The Base.Checked module provides a suite of arithmetic operations equipped with overflow checks, which trigger errors if an overflow occurs internals of a program and its types just like any other data. Warning Metaprogramming is a powerful tool, but it introduces complexity that can make code more difficult to understand. For example, it can quoted return expression using the function macroexpand (important note: this is an extremely useful tool for debugging macros): julia> ex = macroexpand(Main, :(@sayhello("human")) ) :(Main.println("Hello