How to Understand ML Papers Quickly

Because scientific papers are not easily accessible, we can’t easily use the data to train generative models like GPT-3 or DALL-E. Can you imagine if a researcher could propose an experiment and an AI model could instantly tell them if it had been done before (and better yet, give them the result)? Because scientific papers are not easily accessibl... See more

Research papers are full of valuable information, including figures, charts, statistical relationships, and references to other papers. Breaking them down into various components and using them at scale could help us train machines for different types of science-related jobs, prompts or queries. Simple questions might be answered with training on o... See more

Selling the name of the thing is not always selling the thing.

So be cautious when a salesperson comes knocking on your door with an “AI solution” that fixes everything. Anyone I ever worked with who actually builds things calls it machine learning anyway.

Here are some questions to help establish vendor credibility:

Ask them what broad swath of mac... See more