Introduction In this article, we will be introducing the following. Part 1: Four new classes of snaps for LLM function calling: Function Generator, Tool Calling, Function Result Generator, and Messag...
We all love the Pipeline Execute Snap, it greatly simplifies a complex pipeline by extracting sections into a sub-pipeline. But sometimes, we’d really want the ability to run a pipeline multip...
What is Retrieval-Augmented Generation (RAG)? Retrieval-Augmented Generation (RAG) is the process of enhancing the reference data used by language models (LLMs) through integrating them with tradition...
Why do we need LLM Observability? GenAI applications are great, they answer like how a human does. But how do you know if GPT isn’t being “too creative” to you when results from the LLM shows “Company...
What are embeddings Embeddings are numerical representations of real-world objects, like text, images or audio. They are generated by machine learning models as vectors, an array of numbers, where the...
In the rapidly evolving field of Generative AI (GenAI), foundational knowledge can take you far, but it's the mastery of advanced patterns that truly empowers you to build sophisticated, scalable, and...
Jocelyn
on:
LLM response logging for analytics
