The EU AI Act: Guide for DevelopersIf you’re building an AI product, this post will help you understand if the EU Act will affect you, what you need to do to comply, and what the regulation likely means for the wider tech ecosystem.Raza Habib
LLM Benchmarks: Understanding Language Model PerformanceLearn about key LLM benchmarks, why they should be prioritised for specific tasks, and what metrics should be used to compare LLM performance.Conor Kelly
Retrieval Augmented Generation (RAG): ExplainedRetrieval augmented generation is the leading AI framework for customizing and improving LLM-generated responses. Learn how it works and why it's important in our guide.Conor Kelly
Evaluating LLM ApplicationsAn overview of evaluating LLM applications. The emerging evaluation framework, parallels to traditional software testing and some guidance on best practices.Peter Hayes
Humanloop is SOC 2 Type II certified Announcing that Humanloop is now certified as SOC 2 Type 2 compliant.Raza Habib
How to Build the Right Team for Generative AIGenerative AI and Large Language Models (LLMs) are new to most companies. If you’re an engineering leader, it can be hard to know what skills and types of people are needed for AI projects. In this post I’d like to share what we’ve learned about the skills needed to build a great AI team.Raza Habib
How to Maximize LLM PerformanceAn overview of the techniques that OpenAI recommends to get the best performance of your LLM applications. Covering best-practices in prompt engineering, retrieval-augmented generation (RAG) and fine-tuning.Jordan Burgess
OpenAI Fine-tuning: GPT-3.5-TurboBrief overview of fine-tuning, why it’s significant, how it works on OpenAI and how Humanloop can help you to finetune your own custom models.Conor Kelly
Humanloop Tools: Connecting LLMs to resourcesToday we’re announcing Tools as a part of Humanloop. Tools allow you to connect an LLM to any API to give it extra capabilities and access to private data.Jordan Burgess
OpenAI's plans according to Sam AltmanLast week I had the privilege to sit down with Sam Altman and 20 other developers to discuss OpenAI’s product plans. Sam was remarkably open. The discussion touched on practical developer issues as well as bigger-picture questions related to OpenAI’s mission and the societal impact of AI. Here are the key takeaways.Raza Habib