AI in iPhone is Live

PLUS: Comparison of the giants: Llama, GPT, and Claude

Author

Jafar Najafov
July 31, 2024 • Read this in 5 minutes

In partnership with

Is it just me, or are AI updates happening more often?

It feels like there's something new every day.

Here's everything you need to know in the AI space:

In today’s post:

  • AI models comparison

  • AI in iPhone

  • NVIDIA’s humanoid robotics

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AI COMPARISON

AI technology is evolving fast, and three models are leading the charge: Llama 3.1, GPT-4o, and Claude 3.5. Each brings unique strengths, making it crucial to understand what sets them apart.

The details:

  • Llama 3.1: Meta’s open-source model, boasting a 128K context length and robust multi-language support.

  • GPT-4o: OpenAI’s versatile model, excellent in both creative and technical tasks.

  • Claude 3.5: Known for its speed and precision, ideal for tasks requiring quick responses and complex reasoning.

Choosing the right AI model depends on your needs—whether you seek open-source innovation, versatile applications, or speed and precision.

AI IN IPHONE:

Apple has just unveiled the first preview of its much-anticipated Apple Intelligence, setting the stage for a new wave of AI-powered features in its devices.

The details:

  • New Siri look: A glowing edge design for a fresh interface.

  • Enhanced Siri capabilities: Better at understanding commands, even when spoken imperfectly.

  • AI-generated summaries: For Mail, Messages, and voicemails.

  • Writing Tools: Text generation services for improved productivity.

What’s missing:

  • Image and emoji generation.

  • Automated photo clean-up.

  • OpenAI ChatGPT integration.

Apple Intelligence promises a major leap forward, but some key features are still on the horizon.

NVIDIA HUMANOIDS:

NVIDIA is pushing the boundaries of humanoid robotics, offering developers advanced tools to build and refine next-gen robots.

  • NVIDIA NIM microservices: Simplify robot simulation and learning.

  • OSMO orchestration: Streamlines complex robotics workflows across distributed computing resources.

  • Teleoperated data capture: Uses AI to generate training data from minimal human input.

  • Humanoid foundation models: Enable efficient training with real and synthetic data.

NVIDIA is democratizing humanoid robotics development, giving developers powerful tools to accelerate innovation in this exciting field.

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