frostyripper1
6 lines
3.1 KiB
JSON
6 lines
3.1 KiB
JSON
{"type":"instruction_following","instruction":"What is the main architectural change required to build, train, and execute a 1.5-billion-parameter LLM entirely from the ground up on an Intel Core i5 10th Generation processor equipped with exactly 16GB of DDR4 RAM?","input":"","reasoning":"The text explicitly states that the architecture must completely abandon the floating-point matrix multiplication paradigm in favor of native, extreme quantization initialized from the very first epoch.","output":"The main architectural change required is to abandon the floating-point matrix multiplication paradigm and replace it with native, extreme quantization."}
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{"type":"instruction_following","instruction":"What is the custom Rust engine used for in Ethical Hacking.pdf?","input":"","reasoning":"The text describes a custom Rust engine used for handling data efficiently, particularly in the context of ethical hacking. It leverages memory-map tensors and disk-backed swapping to manage large amounts of data without consuming excessive RAM.","output":"The custom Rust engine is used for handling data efficiently by leveraging memory-map tensors and disk-backed swapping to manage large amounts of data without consuming excessive RAM."}
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{"type":"instruction_following","instruction":"What is the Rust engine used for in the custom agent described in Ethical Hacking.pdf?","input":"","reasoning":"The text mentions that the custom Rust engine is responsible for executing dynamically generated commands and handling the massive volume of unstructured text produced by tools like Gobuster, Nmap, or SQLmap. It captures the raw terminal output, processes it using heuristic parsing and regex-based extraction pipelines, and stores the results in a lightweight local embedding model.","output":"The Rust engine is used for executing dynamically generated commands, handling the massive volume of unstructured text produced by tools like Gobuster, Nmap, or SQLmap, capturing the raw terminal output, processing it using heuristic parsing and regex-based extraction pipelines, and storing the results in a lightweight local embedding model."}
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{"type":"instruction_following","instruction":"What is the primary goal of the BitNet architecture described in the text?","input":"","reasoning":"The text explicitly states that the BitNet architecture fundamentally redefines the limits of localized artificial intelligence by refusing to compromise on the physical constraints of the hardware. This directly answers the question about the primary goal of the BitNet architecture.","output":"The primary goal of the BitNet architecture is to fundamentally redefine the limits of localized artificial intelligence by refusing to compromise on the physical constraints of the hardware."}
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{"type":"instruction_following","instruction":"What is a CLI tool that AI agents actually want to use?","input":"","reasoning":"The text mentions 'Writing CLI Tools That AI Agents Actually Want to Use' in the list of resources.","output":"Writing CLI Tools That AI Agents Actually Want to Use - DEV Community, accessed Ap ril 3, 2026, http s://dev.to/uenyioha/writing-cli-tools-that-ai-agents-actually-want-to-use-39n o"}
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