AI tools for kakao-protolib
Related Tools:
![[청년창업사관학교 사업계획서] 사업계획서 도우미 - ② Screenshot](/screenshots_gpts/g-WEdTxY551.jpg)
[청년창업사관학교 사업계획서] 사업계획서 도우미 - ②
본 GPTs는 인증된 사용자만 사용 가능합니다. 문의) https://open.kakao.com/o/sJHIBJTf 이현상
dev-conf-replay
This repository contains information about various IT seminars and developer conferences in South Korea, allowing users to watch replays of past events. It covers a wide range of topics such as AI, big data, cloud, infrastructure, devops, blockchain, mobility, games, security, mobile development, frontend, programming languages, open source, education, and community events. Users can explore upcoming and past events, view related YouTube channels, and access additional resources like free programming ebooks and data structures and algorithms tutorials.
auto-round
AutoRound is an advanced weight-only quantization algorithm for low-bits LLM inference. It competes impressively against recent methods without introducing any additional inference overhead. The method adopts sign gradient descent to fine-tune rounding values and minmax values of weights in just 200 steps, often significantly outperforming SignRound with the cost of more tuning time for quantization. AutoRound is tailored for a wide range of models and consistently delivers noticeable improvements.
Awesome-LLM-Quantization
Awesome-LLM-Quantization is a curated list of resources related to quantization techniques for Large Language Models (LLMs). Quantization is a crucial step in deploying LLMs on resource-constrained devices, such as mobile phones or edge devices, by reducing the model's size and computational requirements.
