Resources
Llm

Evaluating LLM Applications

Peter Hayes

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

Evaluating LLM Applications

How to Build the Right Team for Generative AI

Raza Habib

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.

How to Build the Right Team for Generative AI

How to Maximize LLM Performance

Jordan Burgess

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.

How to Maximize LLM Performance

Prompt Engineering 101

Raza Habib
Sinan Ozdemir

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.

Prompt Engineering 101