Prompt Engineering News

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Prompt Engineering News

Last updated: 22 hours ago

Top Prompt Engineering Tools

Unlock the power of generative AI with these top prompt engineering tools:

🔑 PromptAppGPT - User-friendly drag-and-drop interface for creating prompts. 🧰 DSPy - Automates prompt engineering and actually works. 📚 Llama Index - Plug-and-play vector database for AI.

Master techniques like Retrieval Augmented Generation (RAG), Chain-of-Thought (COT), and ReACT for better prompts. 💡 Learn more

HackAPrompt 2.0 Competition

Get ready for HackAPrompt 2.0 - the biggest AI red teaming competition yet! 🔥

With over $500K in prizes, this global event challenges you to push the boundaries of AI safety. Put your skills to the test and contribute to advancing this critical field.

Backed by OpenAI and ScaleAI, HackAPrompt 2.0 is 10x bigger than its predecessor. Join the waitlist to be the first to know when it launches! ⏰

AI Red Teaming Masterclass

Level up your AI security skills with the #1 AI Red Teaming and AI Safety Masterclass by Sander Schulhoff. 🚀

Created by the founder of HackAPrompt, this course is backed by OpenAI and ScaleAI. Get 25% off through Sunday with Maven's Fast Track offer!

Enroll now and join members of OWASP, creators of the Top 10 LLM Vulnerabilities, in mastering AI red teaming.

Prompt Engineering Insights

Tweet	Author
RT @SanderSchulhoff: Prompt Injection/Jailbreaking are not solved. If any company or framework promises 100% threat detection rate, run f…	@learnprompting
RT @SanderSchulhoff: Why is it so easy to jailbreak ChatGPT/other LLMs? There are so many prompt injection detection tools out there that…	@learnprompting
RT @SanderSchulhoff: People should use DSPy more. It automates prompt engineering and actually works.	@learnprompting
RT @SanderSchulhoff: People should also use Llama Index more. Easiest plug-and-play vector database I have used.	@learnprompting

Projected LLM Growth

As large language models (LLMs) continue to evolve, experts predict significant growth in their capabilities. This bar chart illustrates one potential trajectory, with LLMs potentially reaching 103.1x their current performance by 2040.

While just a projection, it highlights the rapid pace of advancement in this field. Key drivers could include models that can generate their own training data and improve themselves. 🚀

LLMs Go Mobile

Get ready for advanced AI capabilities right in your pocket! 📱💥 Adobe's breakthrough SlimLM system brings large language model processing directly to smartphones.

This innovative approach enhances privacy by eliminating cloud reliance. It also reduces costs for businesses leveraging AI document processing.

As LLMs continue evolving, SlimLM offers a glimpse into their increasingly mobile and decentralized future. The AI revolution is going portable! 🌍