Microsoft research reveals new prompt engineering techniques that makes GPT-4 achieve previously impossible performance levels
Unlock GPT-4's potential with new prompt engineering techniques that outperform specialized AI, enhancing performance across various domains.
Microsoft’s research study demonstrates the effectiveness of advanced prompting techniques such as Chain of Thought (CoT) reasoning, dynamic few-shot selection, self-generated chain of thought, and choice shuffle ensembling in causing a generalist AI (GPT-4) to outperform a specialist AI (Med-PaLM 2) that was specifically trained for a given domain. This research paper confirms insights that advanced generative AI users have discovered, and the Medprompt technique has the potential to be used to elicit high quality output in any knowledge area, eliminating the need to intensively train a model on specific domains.
Original article: Researchers Extend GPT-4 With New Prompting Method
Nobody takes you aside anymore
Print taught a generation when to stop. What we lose when the machines absorb the constraints that used to form us.
Your AI agents need a water cooler
Coordination is a property of the room, not the org chart. What that means when your coworkers are agents.
On the death of the author and the birth of the detector
Why worrying about AI authorship is lazier, and more prejudiced, than it looks.
The work of being available now
A book on AI, judgment, and staying human at work.
The practice of work in progress
Practical essays on how work actually gets done.
Did the state change? A simple test for whether work actually happened
Either something exists now that did not exist before, or it does not. A simple test for whether work actually happened, and what changes when you build your systems so they can't record anything else.
How to manage content for multiple clients without flattening their voices
How to manage content for multiple clients without their voices blurring into one house style: a workspace and a voice profile per client, batchable stages, and approval buffers.
Why does AI writing sound generic? It has nothing to work with
Why does AI writing sound generic? Because the model has none of your perspective, examples, constraints, or stakes to work with. The fix is interview-first, not better adjectives.
Article analysis: Sintra AI review: All-in-one business automation platform
Streamline your business operations with Sintra AI, the all-in-one platform designed to enhance automation and optimize efficiency effortlessly.
Article analysis: The 10 best headless CMS platforms to consider
Discover the top 10 headless CMS platforms that boost flexibility, performance, and scalability, transforming your content management strategy today.
Article analysis: Analyzing unionization trends: Why 67% of American tech workers are interested in joining a union
Explore why 67% of American tech workers are drawn to unionization, revealing key differences across major companies like Intuit, Apple, and Tesla.