prompts

Testing language models (and prompts) like we test software The duty: an LLM email-assistant How you can test: properties What to check The testing process: an example Conclusion

TL;DR: it's best toChatGPT provided a hypothesis for what ties those emails together. Whether that hypothesis is correct or improper, we will see how the model does on the brand new examples it generates....

10 Best Use Cases and Interactive Prompts for GPT-4

Start with ChatGPT today and boost your productivityWelcome to the world of GPT-4, OpenAI’s state-of-the-art language model that has been creating waves within the AI community. This revolutionary model has transformed various industries, proving...

All ChatGPT Prompts in 1 Article

Create Your Perfect ChatGPT PromptThis prompt, enriched with specificity, not only identifies the topics of interest (Keynes and Friedman) but additionally narrows down the world of inquiry (government intervention).This level of detail allows ChatGPT...

ChatGPT 4 Jailbreak — Step-By-Step Guide with Prompts: MultiLayering technique

Welcome to “: A Step-by-Step Guide with Prompts”! On this thrilling piece, you’ll explore the mysterious world of OpenAI’s ChatGPT 4 and the ways to bypass their restrictions. You is perhaps accustomed to DAN...

Midjourney V5 Introduces a NEW Approach To Writing Prompts

Elevate Your Prompts With V5’s Latest ApproachWhatever you learned about writing prompts in Midjourney prior to V5… disregard it. You might want to start considering otherwise when writing prompts in Midjourney.V5 is moving towards...

A system for generating 3D point clouds from complex prompts

While recent work on text-conditional 3D object generation has shown promising results, the state-of-the-art methods typically require multiple GPU-hours to supply a single sample. That is in stark contrast to state-of-the-art generative image models,...

The ChatGPT prompts any data scientist must use ChatGPT Prompts

Sure, here’s an example code for constructing a classification model using in Python:import numpy as npimport pandas as pdfrom sklearn.model_selection import train_test_splitfrom sklearn.ensemble import RandomForestClassifierfrom sklearn.metrics import accuracy_score# Generating random datanp.random.seed(0)data = np.random.randint(0,2,size=(100,3))goal =...

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