Tag: customer interaction analysis

Large Language Models are transforming contact centers by understanding customer sentiment and intent with unprecedented accuracy. From auto-generating summaries to predicting churn, LLMs turn raw calls into actionable insights that improve both customer experience and agent efficiency.

Recent-posts

Tokenizer Design Choices and Their Impacts on LLM Quality

Tokenizer Design Choices and Their Impacts on LLM Quality

Apr, 6 2026

Content Moderation Pipelines for User-Generated Inputs to LLMs: How to Prevent Harmful Content in Real Time

Content Moderation Pipelines for User-Generated Inputs to LLMs: How to Prevent Harmful Content in Real Time

Aug, 2 2025

Production Guardrails for Compressed LLMs: Confidence and Abstention

Production Guardrails for Compressed LLMs: Confidence and Abstention

Jun, 9 2026

Hybrid Search for RAG: Combining Semantic and Keyword Retrieval

Hybrid Search for RAG: Combining Semantic and Keyword Retrieval

Jul, 26 2026

Chunking Strategies That Improve Retrieval Quality for Large Language Model RAG

Chunking Strategies That Improve Retrieval Quality for Large Language Model RAG

Dec, 14 2025