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Some AI reading for the first week of May

This week’s reading is all about generative AI. And whether you’re a designer, developer, product manager, content strategist, whatever your role, take a look at our brand new conference, Web Directions AI, coming to Sydney very soon.

a 2 x 3 grid of high resolution photos of small mechanical parts, possibly the  workings of a watch

Agents on the Brain

Autonomous agents’ traction is undeniable. On the other hand, it’s unclear how useful these AI applications are today for real tasks. LAUREN REEDER, CORNELIUS MENKE, AND STEPHANIE ZHAN from Sequoia Capital unpack their potential, and help separate the hype from reality.

steam punk cooking utensils

The OpenAI Cookbook

The OpenAI Cookbook shares example code for accomplishing common tasks with the OpenAI API.

Guides & examples for their API, GPT, ChatGPT, embeddings, fine tuning and more.

a woodwork project on a rectangular table

A guide to prompting AI (for what it is worth)

Skeptical of the long term importance of prompts, and the new breed of “prompt influencer”, Ethan Rollick still thinks there’s value in improving your prompting and discusses how.

“The best way to use AI systems is not to craft the perfect prompt, but rather to use it interactively. Try asking for something. Then ask the AI to modify or adjust its output. Work with the AI”

How to engineer, promptly

Is prompt engineering *really* a thing? And if so how can you learn to do it?

Microsoft have two guides, one more introductory one more advanced

Non-zero marginal cost

LLM’s are expensive to train (and ask questions of). But how expensive? why? And what direction are these cost headed?

A16Z navigates the high cost of AI compute, and the implications. 

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I had an absolute blast, learnt so much, and met so many great people

Carmen Chung Software engineer, Valiant Finance