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WildChat, a dataset of ChatGPT interactions

FlowingData

The WildChat Dataset is a corpus of 1 million real-world user-ChatGPT interactions, characterized by a wide range of languages and a diversity of user prompts. Using this dataset, we finetuned Meta’s Llama-2 and created WildLlama-7b-user-assistant, a chatbot which is able to predict both user prompts and assistant responses.

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Visualizing the statistical connections behind ChatGPT

FlowingData

To gain a better understanding of how ChatGPT works under the hood, Santiago Ortiz repeatedly passed the prompt “Intelligence is” to the chatbot. Tags: AI , ChatGPT , Santiago Ortiz Then he visualized the statistical paths to get to a response using a 3-D network.

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10 steps to become a prompt engineer: A comprehensive guide

Data Science Dojo

Prompt engineering involves creating and refining input text or instructions to guide AI models like ChatGPT and DALLE-2 in generating specific outputs. By understanding the flaws through prompt engineering, developers can identify and address issues that arise during model training.

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Dynamic video content moderation and policy evaluation using AWS generative AI services

AWS Machine Learning Blog

The UI constructs evaluation prompts and sends them to Amazon Bedrock LLMs, retrieving evaluation results synchronously. Using the solution UI, user selects existing template prompts, customize them and start the policy evaluation utilizing Amazon Bedrock. The following are some examples of the prompt templates for video analysis.

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Best Midjourney AI tips and tricks (with prompts)

Dataconomy

From making sense of prompts to harnessing the power of specific tags, these insights aim to unravel the potential of AI in manifesting your creative ideas visually. Advanced users of Midjourney may often exhibit their verbose prompts extending to 5,000 characters. Initiate the process with a few clear, straightforward words.

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Build a serverless exam generator application from your own lecture content using Amazon Bedrock

AWS Machine Learning Blog

This post demonstrates how to use advanced prompt engineering to control an LLM’s behavior and responses. Ref ExamGenTG Chain-of-Thought (CoT) Prompting Before we embark on constructing the app, let’s delve into prompt engineering. You can change the prompt and give it different personas and instructions, and see how it behaves.

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Evaluation of generative AI techniques for clinical report summarization

AWS Machine Learning Blog

In this part of the blog series, we review techniques of prompt engineering and Retrieval Augmented Generation (RAG) that can be employed to accomplish the task of clinical report summarization by using Amazon Bedrock. It can be achieved through the use of proper guided prompts. There are many prompt engineering techniques.

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