From 906484dc7400d525e95708ac39e5045ef7f360ce Mon Sep 17 00:00:00 2001 From: Jael Gu Date: Wed, 18 Sep 2024 13:35:32 +0800 Subject: [PATCH] Add more resources Signed-off-by: Jael Gu --- README.md | 11 ++++++++++- 1 file changed, 10 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index 75bf469..b62a058 100644 --- a/README.md +++ b/README.md @@ -105,4 +105,13 @@ op.save_model('onnx', 'test.onnx') PosixPath('/Home/.towhee/operators/audio-embedding/nnfp/main/test.onnx') ## Fine-tune -To fine-tune this operator, please refer to [this example guide](https://github.com/towhee-io/examples/blob/main/fine_tune/7_fine_tune_audio_embedding_operator.ipynb). \ No newline at end of file +To fine-tune this operator, please refer to [this example guide](https://github.com/towhee-io/examples/blob/main/fine_tune/7_fine_tune_audio_embedding_operator.ipynb). + +# More Resources + +- [Scalar Quantization and Product Quantization - Zilliz blog](https://zilliz.com/learn/scalar-quantization-and-product-quantization): A hands-on dive into scalar quantization (integer quantization) and product quantization with Python. +- [How to Get the Right Vector Embeddings - Zilliz blog](https://zilliz.com/blog/how-to-get-the-right-vector-embeddings): A comprehensive introduction to vector embeddings and how to generate them with popular open-source models. +- [Audio Retrieval Based on Milvus - Zilliz blog](https://zilliz.com/blog/audio-retrieval-based-on-milvus): Create an audio retrieval system using Milvus, an open-source vector database. Classify and analyze sound data in real time. +- [Vector Database Use Case: Audio Similarity Search - Zilliz](https://zilliz.com/vector-database-use-cases/audio-similarity-search): Building agile and reliable audio similarity search with Zilliz vector database (fully managed Milvus). +- [Neural Networks and Embeddings for Language Models - Zilliz blog](https://zilliz.com/learn/Neural-Networks-and-Embeddings-for-Language-Models): Exploring neural network language models, specifically recurrent neural networks, and taking a sneak peek at how embeddings are generated. +- [Understanding Neural Network Embeddings - Zilliz blog](https://zilliz.com/learn/understanding-neural-network-embeddings): This article is dedicated to going a bit more in-depth into embeddings/embedding vectors, along with how they are used in modern ML algorithms and pipelines. \ No newline at end of file