New Prompting Technique Surpasses GPT-4 🚀

Today’s top AI Highlights:

1. Step-back Prompting for Better LLM Reasoning

2. Qualcomm's Latest Snapdragon Unleashes Advanced AI Features

3. Robots Navigate Tasks with Intuitive Tools + LLMs

4. The Unseen Differences in AI and Human Perception

5. Drag-and-Drop to Build Fully Functional Websites 

& so much more!

Read time: 3 mins

Latest Developments 🌍

LLMs Take a Step Back to Master Reasoning 🎯

Researchers at Google DeepMind introduce Step-back Prompting to enable LLMs to derive high-level concepts and first principles from specific instances containing detailed information. By using these abstractions to guide reasoning steps, LLMs significantly improve their abilities in following a correct reasoning path.

Key Highlights:

• Drawing inspiration from human cognitive skills, particularly the use of abstraction in decision-making, the technique aims to teach LLMs to step back and derive high-level abstractions to guide the process of reasoning effectively.

• Step-back Prompting demonstrated up to 36% performance improvement compared to other techniques such as Chain-of-Thought prompting and Take a Deep Breath prompting.

• Step-back Prompting in PaLM-2L models demonstrated state-of-the-art performance, surpassing the baseline and even GPT-4, particularly in tasks where deep reasoning and abstraction skills were crucial.

Qualcomm’s Latest Snapdragon Packed with AI 📱

The highly anticipated Qualcomm’s Snapdragon 8 Gen 3 chip has been leaked, revealing a robust focus on AI capabilities. This cutting-edge technology will elevate the Android smartphone experience with a myriad of innovative features.

Key Highlights:

• The chip will introduce advanced AI camera tools, including object removal from videos, photo area expansion, and background synthesis, enhancing the photography experience significantly.

• Boasting a substantial 98% speed boost, the chip's upgraded Hexagon neural processor amplifies AI processing, promising smoother and more efficient execution of AI models like Stable Diffusion and Meta's Llama 2.

• Alongside its AI prowess, the Snapdragon 8 Gen 3 pledges a 30% faster CPU, a 25% swifter GPU, support for high-speed gaming, night vision video capture, and a lot more.

Robots Use LLMs and Tools for Intelligence 💡

Addressing a pressing challenge in robotics, researchers at CMU and Google DeepMind introduce RoboTool, an approach based on LLMs to equip robots with the remarkable ability to creatively employ tools while navigating complex tasks including implicit physical constraints and intricate long-term planning.

Key Highlights:

• RoboTool's four integral components - Analyzer, Planner, Calculator, and Coder - collectively leverage LLMs to interpret natural language instructions, identify key concepts, generate comprehensive strategies, and translate plans into executable code for controlling robots.

• Unlike traditional Task and Motion Planning (TAMP) methods that rely on explicit optimization, RoboTool offers a more flexible, efficient, and user-friendly solution for complex robotics tasks.

• The approach demonstrated proficiency in tackling tasks previously deemed infeasible without creative tool use, significantly broadening the scope of capabilities for robotic systems.

How AI Sees Differently Than Us 👀

A study by MIT researchers reveals that there exist disparities between the invariances of deep neural networks and human sensory perception, raising questions about the development of AI models and their real-world applicability.

Inspired by human perceptual metamers, model metamers are synthetic stimuli that exhibit nearly identical activations in AI models as specific natural images or sounds. Surprisingly, these model metamers produced by deep neural network models were consistently unrecognizable to human observers.

The study further revealed that the human recognition of model metamers strongly correlated with their recognition by other models, suggesting that disparities between humans and models originate from unique invariances specific to each model. This innovative approach provides a benchmark for developing and evaluating future AI models that better mimic the intricacies of human sensory perception.

Tools of the Trade ⚒️

• AutoEmber: A visual design tool that lets you design and publish fully functional websites on a drag-and-drop canvas, without any coding knowledge, offering features like responsive design, animations, and instant preview.

• Hex Magic: An integrated workspace tool that harnesses LLMs to enhance data analysis, offering features such as AI generated charts, queries, explanation, and visualization, and a metadata engine to improve AI accuracy in data workflows.

• Dezan: A brand perception analytics platform that utilizes AI to help provide gain rich insights from customers through quizzes, along with a brand score sheet.

• Remy Security: Leverages AI to streamline security design reviews by auto-generating questions, suggestions, and risk assessments for design authors.

• Arc: An AI-powered remote jobs marketplace that helps in hiring top developers faster through instant candidate matches and personalized results.

Hot Takes 🔥

• one bittersweet thing is that while elon has been and will continue to be far more important to the destiny of the human race jeff b has managed to find true happiness and leave this earth on a mega yacht with his siren woman ~ roon

• Got out of the Bay Area/California first time after ChatGPT and GenAI explosion, met real people, and, and, no one really care about it, think about it everyday, or at all. Either we are in a bubble or time to build more applications for everyday consumers and non-tech folks. ~ Pratik Desai

Meme of the Day 🤡

That’s all for today!

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