Jason Liu is a true Renaissance man in the world of AI. In this episode, we cut through the AI hype explore effective strategies for building valuable AI products.

Logan led developer relations at OpenAI before leading product on the Google AI Studio. He's been closer than anyone to developers building with LLMs and has seen behind the curtain at two frontier labs. In this week’s episode of the High Agency Podcast, Logan and I discuss the future trajectory of AI and share our insights on what AI builders can anticipate in the future.

In this week’s episode of the High Agency Podcast, I had the pleasure of interviewing Shawn Wang, better known as Swyx. As the author of the influential essay "Rise of the AI Engineer," Swyx is at the forefront of defining the evolving field of AI engineering. We discuss the emergence of the AI engineer, the skills required and the optimal make-up of an AI team.

I recently sat down with Bryan Bischof, Head of AI at Hex, to understand how Hex approaches evals and what lessons other teams can take from their experience.

Over 50% of contracts at Ironclad are now negotiated by AI. I sat with Cai Gogwilt, Co-founder and Chief Architect to understand what lessons product leaders can take from their success of building AI Agents.

An overview of evaluating LLM applications. The emerging evaluation framework, parallels to traditional software testing and some guidance on best practices.

Generative 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.

An 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.

In this post, we'll explore the fundamentals of prompt engineering. We'll explain how Large Language Models (LLMs) interpret prompts to generate outputs, and provide tips and tricks to get you started prototyping and implementing LLMs quickly.

We’re excited to be partnering with Stability AI, to build and release the first open-source large language model that can follow human instructions.

Today we're excited to open up access to Humanloop for all developers who want to build next-generation applications with large language models like GPT-3.

Fine-tuning GPT‑3 can make it faster, cheaper and more accurate. Humanloop makes it dramatically easier to do this, while aligning the model with the preferences of your users.