Humanloop Blog

Structured Outputs: Everything You Should Know

Explore Structured Outputs, understand how it works and how to get started on OpenAI, Gemini and Humanloop.

Introducing Templates in Humanloop

Jumpstart your AI app development with Humanloop Templates — pre-built workflows, curated datasets, and ready-to-use evaluators designed to accelerate your path to production.

Jordan Burgess

LLM Benchmarks: Understanding Language Model Performance

Learn about key LLM benchmarks, why they should be prioritised for specific tasks, and what metrics should be used to compare LLM performance.

Conor Kelly

8 Retrieval Augmented Generation (RAG) Architectures You Should Know in 2025

Explore the 8 most popular Retrieval Augmented Generation (RAG) architectures, understand their workflows and use cases for building generative AI applications.

Conor Kelly

A look back at 2024: How Humanloop has evolved

In this post we run through our release highlights from the last year or so, across prompt management, evals and observability.

Peter Hayes

Humanloop is moving to General Availability

Today we’re excited to open access to Humanloop for all enterprises building AI products with LLMs

Raza Habib

10 AI Podcasts to Listen to in 2025

A guide on the top podcasts that will help guide your understanding of AI and keep up with the latest advancements and news

Conor Kelly

Model Distillation

Learn what model distillation is, how it works with OpenAI, its benefits, challenges, and alternative solutions.

Conor Kelly

How Replicate is Democratizing AI with Open-Source Resources

In this episode, we explore how Replicate is breaking down barriers in AI development through its open-source platform. CEO Ben Firshman shares how Replicate enables developers without machine learning expertise to run AI models in the cloud.

Raza Habib

Principles for Building Excellent AI Features

In this episode of High Agency, Raza speaks with Lorilyn McCue, the driving force behind Superhuman’s AI-powered features. Lorilyn lays out the principles that guide her team’s work, from continuous learning to prioritizing user feedback.

Raza Habib

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