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 www.nomic.ai
Nomic Blog: Nomic Embed Vision: Expanding The Latent Space
| | zackproser.com
How are embeddings models trained for RAG?
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| | Embeddings models are the secret sauce that makes RAG work. How are THEY made?
| | unstructured.io
Choosing the right embedding model for your RAG application: a comprehensive guide - Unstructured
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| | 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.nomic.ai
Nomic Blog
0.7 parsecs away

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| | Nomic releases a 8192 Sequence Length Text Embedder that outperforms OpenAI text-embedding-ada-002 and text-embedding-v3-small.
| | coornail.net
Teaching an AI to count
13.5 parsecs away

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| Neural networks are a powerful tool in machine learning that can be trained to perform a wide range of tasks, from image classification to natural language processing. In this blog post, well explore how to teach a neural network to add together two numbers. You can also think about this article as a tutorial for tensorflow.