Nebuly blog

Understanding LLM Analytics: The Future of Data Analysis and AI Performance

The top real-world LLM use cases in 2024.

AI Customer Experience with examples and best practices

Introducing a new, user-centric framework for evaluating and developing LLM-based products.

How advanced Chatbot Analytics can transform businesses by providing deep insights, real-time data, and personalized customer interactions.

AI Sentiment Analysis: Unveiling User Emotions and Business Potential

Conversational Analytics what it is and How AI and LLMs are changing the game.

Exploring the methodologies of LLM evaluation, splitting everything between two primary categories: LLM-as-a-Judge and Human-as-a-Judge.

Learn about Explicit and Implicit LLM user feedback and understand the pros and cons of both methods.

Written by Nebuly and Marina Ashurkina, author of the book “Transforming Conversational AI”

LLAMA 3, what is it and how to use it. CTO perspective on what makes LLAMA 3 stand out.

LLM adoption, how long it took for Chatgpt to reach 100 million users and where are we headed next with LLM intelligence.

In the years to come billions of people will interact with LLMs every day. Traditional product analytics tools fall short when it comes to uncovering insights from users of large language models. This article presents a new framework for LLM User Analytics to understand what LLM users want and why.

Decoding the total cost of ownership for OpenAI: an examination of AI costs.