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.
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.
Today, we are announcing the preview of Humanloop for Large Language Models (LLMs). Sign up to be part of the closed beta.
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.
We discuss the real world performance of Open AI's GPT-3 language model and speculate on what the future of large pre-trained language models may hold.
