最新文章

LEANN AI Framework: Lightweight, efficient, adaptive for sustainable AI. Reduces latency 40-60%, ideal for edge/mobile. (LEANN AI框架：轻量、高效、自适应，助力可持续AI。延迟降低40-60%，适用于边缘/移动场景。)

VoxCPM: 0.5B参数语音生成模型，业界领先的自然度与零样本克隆能力。 (VoxCPM: 0.5B参数语音生成模型，业界领先的自然度与零样本克隆能力。)

LEANN AI Framework: A storage-efficient vector search index using dynamic embedding recalculation and compressed graph indices. (LEANN AI框架：采用动态嵌入重算与压缩图索引的高存储效率向量搜索方案。)

VoxCPM-1.5: A 500M-param open-source TTS model from China, offering 44.1kHz audio & 3s voice cloning on consumer GPUs. (VoxCPM-1.5：一款5亿参数开源TTS模型，支持44.1kHz音频和3秒声音克隆，可在消费级GPU运行。)

LEANN: Embedded vector DB framework for local RAG. On-demand computation & graph-based storage cut 97% space vs. traditional DBs. (LEANN：用于本地RAG的嵌入式向量数据库框架。按需计算和基于图的存储相比传统数据库节省97%空间。)

VoxCPM: 0.5B 端到端 TTS 模型，支持高效本地部署与高质量中文语音合成/克隆。 (VoxCPM: 0.5B端到端TTS模型，支持高效本地部署与高质量中文语音合成/克隆。)

LEANN AI Framework drastically cuts vector index storage to <5% of original size, enabling 50x compression for efficient similarity search. LEANN AI 框架将向量索引存储降至原体积<5%，实现50倍压缩，提升相似性搜索效率。

VoxCPM: Open-source TTS with tokenizer-free design, 0.5B params, real-time synthesis, and few-shot voice cloning. (VoxCPM：开源TTS，无分词器设计，5亿参数，实时合成，支持少样本语音克隆。)

LEANN: A lightweight, embedded vector DB for RAG, enabling local deployment with minimal resources. (LEANN：轻量级嵌入式向量数据库，为RAG应用实现低资源本地部署。)