🌠 Apple AI even better than GPT-4?

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Tuesday 2nd of March
Today we’ll cover

• TOGETHER WITH THE RUNDOWN

• 🌠 Apple's ReALM AI Model Outshines GPT-4 in Contextual Understanding

• ✨ OpenAI Upgrades DALL-E 3 with Powerful Image Editing Features

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APPLE AI
🌠 Apple's ReALM AI Model Outshines GPT-4 in Contextual Understanding

New research reveals ReALM's superior performance in parsing on-screen information and user intent

The Reverie

Apple researchers have unveiled a powerful new AI system called ReALM (Reference Resolution as Language Modeling) that excels at understanding context and user commands. In a newly published paper, they claim ReALM can substantially outperform OpenAI's state-of-the-art GPT-4 model in tasks requiring comprehension of on-screen information, conversation history, and background references.

The Details

• ReALM converts visual screen layouts into textual representations, allowing it to efficiently "see" and understand on-screen elements without relying on bulky image recognition parameters.

• Apple's larger ReALM models achieved performance gains of over 5% for on-screen reference resolution compared to existing systems, while their smallest model was on par with GPT-4 despite having far fewer parameters.

• By grasping nuanced user utterances and visual cues, ReALM could enable more seamless, hands-free interactions with voice assistants like Siri in the future.

Why Should You Care?

ReALM's impressive performance, coupled with its lightweight architecture suitable for on-device deployment, positions Apple as a strong contender in the race to create the most powerful and practical AI assistants

In summary, Apple's groundbreaking ReALM AI model showcases the company's commitment to pushing the boundaries of artificial intelligence. By outperforming industry benchmarks like GPT-4 in key areas while maintaining a smaller footprint, ReALM paves the way for smarter, more context-aware voice assistants that can revolutionize how we interact with technology in our daily lives. Source

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Agent. AI
Written by Dharmesh Shah. Dharmesh Shah is co-founder and CTO of HubSpot, and writes in-depth, technical (data-science background) insights in how AI works. This is a great supplement to The AI Reverie:

AI Minds Newsletter
“Navigating the Intersection of Human Minds and AI”. This newsletters dives deeper into usecases, and features research papers and tools that help you become smarter about AI. Highly recommended reading.

APPLE AI
✨ OpenAI Upgrades DALL-E 3 with Powerful Image Editing Features

New tools allow users to modify generated images with simple text prompts

The Reverie

OpenAI has released an update to its DALL-E 3 text-to-image model that introduces advanced image editing capabilities.

Users can now modify images generated by DALL-E 3 using simple text instructions to add, remove, or change elements.

The Details

• The new DALL-E editor interface allows users to select parts of an image and describe changes they want made in natural language

• Edits can be made by highlighting areas and providing a text prompt, or by giving an overall edit instruction without selecting anything

• Example edits include adding objects, removing parts of the image, changing colors and styles, and modifying facial expressions

Why should you care?

The addition of intuitive editing features to DALL-E 3 represents an important advancement in the usability and flexibility of AI image generation tools.

By enabling iterative refinement of generated images with text prompts, OpenAI has made DALL-E 3 an even more powerful creative tool for artists, designers, and anyone looking to bring their visual ideas to life

These new capabilities also help DALL-E 3 keep pace in the fast-moving generative AI space, as competitors like Midjourney and Stable Diffusion continue enhancing their own image generation models. Source

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