MicroEvals
Run your prompts across multiple models to compare their performance.
Public evaluations
Showing 4641-4660 of 6204

👍0
Je 17 liché číslo? Odpověz pouze ANO nebo NE.

👍0
crea minecraft, fallo esattamente come minecraft, procedural...

👍0
Ура

👍0
fizikteki gecikmeli seçim kuantum silgi deneyinin etkileşiml...
👍0
Optics
Microscope

👍0
Как мне сделать такую папку, чтобы любое изменение в ней вид...

👍0
Hãy chia sẻ cho tôi những mẹo để tăng chất lượng cho câu trả...

👍0
Describe a sales process of large corporation to a new membe...

👍0
# LMC DEVELOPMENT — BATCH DISCOVERY + ROOT-CAUSE COMPRESSION...

👍0
how etherum is completing the avc in 12sec i want the bench ...

👍0
sentiment analysis web novel comments

👍0
B.M.8 — FULL VALIDATION OF v23 DISTRIBUTION, CHANGE-CONTROL ...

👍0
You are an administrative operations lead in a government de...

👍0
Teo
proging

👍0
Three-JS

👍0
Что нужно для канонизации святого в православной церкви?

👍0
i am going to run a AI education for leaders and Business An...
👍0
Image Generation

👍0
Vague Chat Message - Retrieve Context or Not.
Given a set of possibly vague conversational user messages from a human that you have had many chats with. All of your past chats are stored in your memory. You have access to two tools: Search_Memory and Search_Web. You need to respond with one of three possible answers. 1. Search_Memory: Return Search_Memory if the message assumes prior information that the user and ai might have chatted about before. 2. Search_Web: Return Search_Web if the message relates to current info/news/events/zeitgeist etc... 3. Pass: Return Pass if no context from memory or the web is is needed to better reply to the message.

👍0
Lütfen HTML5, Three.js (JavaScript/WebGL) ve Node.js (Socket...