Threat Detection = Vectra AI; Personalized Education = Khanmigo; Autonomous Finance = Kasisto; Environmental & Climate Monitoring = ClimateAI; Energy Grid Management = Uplight; BOND analysis Next AI Use Optimization Cybersecurity & Threat Detection Personalized Education Autonomous Finance Environmental & Climate Monitoring Energy Grid Management Next AI Use Case Frontiers = Broad & Varied

about the output 56 Use Instructions over Constraints 56 Control the max token length 58 Use variables in prompts 58 Experiment with input formats and writing styles 59 For few-shot prompting with example: "Explain quantum physics in a tweet length message." Use variables in prompts To reuse prompts and make it more dynamic use variables in the prompt, which can be changed for different inputs. E.g which gives facts about a city. Instead of hardcoding the city name in the prompt, use a variable. Variables can save you time and effort by allowing you to avoid repeating yourself. If you need to use the

accepts policy variables. This template approach adapts easily to various contexts, significantly simplifying maintenance and evaluation. As new use cases arise, you can update variables rather than rewriting

Contiguous Memory Allocation – Linux Kernel Module DEPLOY VTA ON INTEL FPGA Setup Environment Variables Navigate to 3rdparty/cma and build kernel module Copy kernel module to DE10-Nano and Install Module