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Topic: Fine-tuning
index-tts-lora: High-Quality Speech Synthesis with LoRA Fine-tuning

index-tts-lora: High-Quality Speech Synthesis with LoRA Fine-tuning

index-tts-lora offers a robust solution for high-quality speech synthesis, leveraging LoRA fine-tuning on the index-tts framework. It significantly enhances prosody and naturalness for both single and multi-speaker voices. This project provides practical methods for training and inference, making advanced voice synthesis more accessible.

Mar 23, 2026
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NUDGE: Lightweight Non-Parametric Embedding Fine-Tuning for Retrieval

NUDGE: Lightweight Non-Parametric Embedding Fine-Tuning for Retrieval

NUDGE is a lightweight, non-parametric tool designed to fine-tune pre-trained embeddings, significantly enhancing retrieval and RAG pipelines. It operates by adjusting data embeddings directly, rather than modifying model parameters, to maximize accuracy. This approach often leads to over 10% improvement in retrieval accuracy and runs in minutes.

Mar 4, 2026
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