AI in iPhone is Live

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

Author

Jafar Najafov
July 31, 2024 • Estimated Reading Time: 5 minutes

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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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