Explore >> Select a destination

You are here

 www.shaped.ai
Cross-Encoder Rediscovers a Semantic Variant of BM25 | Shaped Blog
| | unstructured.io
Choosing the right embedding model for your RAG application: a comprehensive guide - Unstructured
4.7 parsecs away

Travel
| | Navigate the Massive Text Embedding Benchmark (MTEB) leaderboard with confidence! Understand the difference between Bi-Encoders and Cross-Encoders, learn how text embedding models are pre-trained and benchmarked, and how to make the best choice for your specific use case.
| | blog.vespa.ai
Pretrained Transformer Language Models for Search - part 1 | Vespa Blog
2.8 parsecs away

Travel
| | This is the first blog post in a series of posts where we introduce using pretrained Transformer models for search and document ranking with Vespa.ai.
| | research.google
Information Retrieval and the Web
4.3 parsecs away

Travel
| |
| | adl1995.github.io
An overview of activation functions used in neural networks
20.2 parsecs away

Travel
| [AI summary] The article explains various activation functions used in neural networks, their properties, and applications, including binary step, tanh, ReLU, and softmax functions.