Subject
3 entries
Cohere
Bookmarks
Cohere Prompt Tuner: Automated Prompt Optimization
Cohere's Prompt Tuner automatically improves prompts for their models by testing variations and selecting what performs best — prompt optimization as a first-class product feature rather than a manual art.
Running Large Language Models in Production: Cohere's TIF
Cohere's post on their Transformer Inference Framework (TIF) — covering the systems challenges of serving large language models in production at scale. An early look at how LLM serving differs from traditional ML model serving and what optimizations matter.
Text Embeddings Visually Explained
Cohere's visual primer on text embeddings explains how words and sentences become vectors in high-dimensional space, and what operations on those vectors mean semantically. A good conceptual foundation before diving into practical embedding-based applications like semantic search or classification.