with JSON format Prompt Engineering February 2025 21 There are some benefits in returning JSON objects from a prompt that extracts data. In a real-world application I don’t need to manually create this format, I can already return the data in a sorted order (very handy when working with datetime objects), but most importantly, by prompting for a JSON format it forces the model to create a structure output returned in a structured format like JSON or XML. There are some benefits in returning JSON objects from a prompt that extracts data. In a real-world application I don’t need to manually create this

NDArray | Rd | tuplelclosure AST Nodes Cross language suppPort Easy to introduce new runtime objects (trees, graphs) Direct access from other languages QQ octoML HTVM Overview *。 Plug directly into

func(remote_a, remote_b)Virtual Machine: Supporting Dynamic Workload Dynamic shape workloads More runtime objects: Arrays, Tuples, Trees, ADTs Minimum runtime for dynamic models Credit: Jared Roesch, Haichen Shen

space (~10 lines of Relay IR) - A few days of work - TVM sampling model running in 30us on single server CPU core - Beat hand-written, highly optimized baselines (https://github.com/mozilla/LPCNet) by

the compiled TVM to the SDCard Step 7: Install kernel module cma.ko and run apps/vta_rpc/start_rpc_server.sh Step 8: Configure vta/config/de10nano_config.json to vta_config.json Step 9: Go to vta/hardware/intel

Services, Inc. or its Affiliates. All rights reserved. Evaluation • Intel Cascade Lake 12-core Server • TFLite Pre-quantized Hosted Models© 2019, Amazon Web Services, Inc. or its Affiliates. All rights

intelligence. The earliest wave saw CapEx pouring into building internet infrastructure – massive server farms, undersea cables, and early data centers that enabled Amazon, Microsoft, Google and others AI Foundry expansion • NLWeb • Model Context Protocol (MCP) integration • Entra Agent ID • SQL Server 2025 • Windows Subsystem for Linux Open- Source • GitHub Copilot Chat Extension • Aurora AI-Powered