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Why retrieval augmented generation (RAG) is the key to safer applications with large language models (LLMs)

Read about best practices of deploying NLP models and establishing an effective, iterative style of NLP development.

How to build winning applications using natural language processing (NLP): a practical guide

Combine the power of large language models with a corpus of your choice to generate natural-sounding answers that are grounded in facts

The BERT language model greatly improved the standard for language models. This article explains BERT’s history and the language models derived from it.

Our guide to evaluating applications that extract or generate natural language

Search your large collection of documents in the most effective way using open source tools

Text embeddings represent human language to computers, enabling tasks like semantic search. Here, we introduce sparse and dense vectors in a non-technical way.