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This is a Phi Family of SLMs book for getting started with Phi Models. Phi a family of open sourced AI models developed by Microsoft. Phi models are the most capable and cost-effective small language models (SLMs) available, outperforming models of the same size and next size up across a variety of language, reasoning, coding, and math benchmarks
[ICLR-2025-SLLM Spotlight 🔥]MobiLlama : Small Language Model tailored for edge devices
Survey of Small Language Models from Penn State, ...
利用免费的大模型api来结合你的私域数据来生成sft训练数据(妥妥白嫖)支持llamafactory等工具的训练数据格式synthetic data
Python package for high-performance spatial light modulator (SLM) control and holography. Supports features from aberration-corrected 3D point clouds to automated Fourier-domain calibrations.
"Generative AI in Action" book's code repository
Some experiments around AI to learn.
[Kaggle-2nd] Lightweight yet Effective Chinese LLM.
Build low-code, event-driven AI applications and workflows using **any** OpenAI API-compatible framework.
Remma-O1: An open-source Language Model with 1.17B Params, built on pytorch from scratch. Work in Progress!!! Open for collaboration.
Simple and lightweight tool to fine-tune GPT models (like GPT-2 and GPT-Neo) using your own data — built with Python and Transformers. Adapt powerful language models to your domain with ease.
An Android App recreating the Simon Says game. Uses MediaPipe to run an LLM on device
Error-free 3D printing. Defect detection and melt pool monitoring in a metal 3D printer. Tracks area of the melt pool, intensity, and radius. The variations of the melt pool are used to detect build defects.