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5 Must-Have Skills to Get Into Prompt Engineering

ODSC - Open Data Science

Who hasn’t seen the news surrounding one of the latest jobs created by AI, that of prompt engineering ? If you’re unfamiliar, a prompt engineer is a specialist who can do everything from designing to fine-tuning prompts for AI models, thus making them more efficient and accurate in generating human-like text.

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This AI Research Uncovers the Mechanics of Dishonesty in Large Language Models: A Deep Dive into Prompt Engineering and Neural Network Analysis

Marktechpost

Since then, several studies have tried to address LLM honesty by delving into a model’s internal state to find truthful representations. These treatments are resilient over several dataset splits and prompts. By using prefix injection, the research team can consistently induce lying. Only 46 attention heads, or 0.9%

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Shaping the Future of Artificial Intelligence AI: The Significance of Prompt Engineering for Progress and Innovation

Marktechpost

For the unaware, ChatGPT is a large language model (LLM) trained by OpenAI to respond to different questions and generate information on an extensive range of topics. What is prompt engineering? For developing any GPT-3 application, it is important to have a proper training prompt along with its design and content.

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A New AI Research Introduces Directional Stimulus Prompting (DSP): A New Prompting Framework to Better Guide the LLM in Generating the Desired Summary

Marktechpost

A new study from the University of California, Santa Barbara, and Microsoft proposes the Directional Stimulus Prompting (DSP) architecture that enhances the frozen black-box LLM on downstream tasks using a tiny tuneable LM (RL). To help the LLM produce the required summary based on the keywords, keywords act as the stimulus (hints).

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Evolving Trends in Prompt Engineering for Large Language Models (LLMs) with Built-in Responsible AI…

ODSC - Open Data Science

Evolving Trends in Prompt Engineering for Large Language Models (LLMs) with Built-in Responsible AI Practices Editor’s note: Jayachandran Ramachandran and Rohit Sroch are speakers for ODSC APAC this August 22–23. Various prompting techniques, such as Zero/Few Shot, Chain-of-Thought (CoT)/Self-Consistency, ReAct, etc.

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Microsoft Introduces Automatic Prompt Optimization Framework for LLMs

Analytics Vidhya

Microsoft AI Research has recently introduced a new framework called Automatic Prompt Optimization (APO) to significantly improve the performance of large language models (LLMs).

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AI News Weekly - Issue #382: A Majority of AI decision makers worry about data privacy and security - Apr 25th 2024

AI Weekly

Powered by rws.com In the News 80% of AI decision makers are worried about data privacy and security Organisations are hitting stumbling blocks in four key areas of AI implementation: Increasing trust, Integrating GenAI, Talent and skills, Predicting costs. Planning a GenAI or LLM project?

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