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IS

Ion Stoica

05/29/25

@ a16z

We've developed a 'prompt to leaderboard' system that identifies which AI models are best suited for specific prompts, even if those prompts have never been seen before.

Video

a

Beyond Leaderboards: LMArena’s Mission to Make AI Reliable

@ a16z

Beyond Leaderboards: LMArena’s Mission to Make AI Reliable

05/29/25

Related Takeaways

IS

Ion Stoica

05/29/25

@ a16z

The 'prompt to leaderboard' approach teaches us that we can evaluate models by learning how they perform in various scenarios, rather than relying solely on static benchmarks.

JH

Jake Heller

10/04/24

@ Y Combinator

We adopted a test-driven development approach for our AI prompts, which allowed us to refine the system to achieve high accuracy in responses.

YC

Y Combinator Cast

05/23/25

@ Y Combinator

There's a missing tool in AI app development that would allow an AI system prompt writer to assist users in refining prompts.

YC

Y Combinator Cast

02/28/25

@ Y Combinator

The prompt box in AI interfaces is crucial, and providing pre-built prompts can enhance user experience by guiding them in their input.

MB

Matt Biilmann

03/08/25

@ a16z

The skill of prompting AI models is crucial; those who understand how to communicate effectively with these models can create more sophisticated and creative outputs.

YC

Y Combinator Cast

05/30/25

@ Y Combinator

Meta prompting involves giving a role to the AI, such as an expert prompt engineer, to enhance the quality of prompts.

YC

Y Combinator Cast

05/30/25

@ Y Combinator

Effective prompts often start by defining the role of the AI, detailing its responsibilities, and providing a structured plan for tasks, which helps in guiding the AI's decision-making process.

YC

Y Combinator Cast

02/28/25

@ Y Combinator

It's beneficial for AI applications to infer context and suggest prompts dynamically, rather than relying solely on static examples.

PB

Paul Buchheit

01/25/25

@ Y Combinator

The ability to prompt AI effectively is crucial, as it determines the quality of the output, which is a reflection of agency and taste in AI development.