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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.
A powerful 130-million-parameter model trained from scratch as part of a truly open-source stack, including a custom tokenizer, dataset, and optimizer.
[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