OpenAI's iOS Moment

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Daily AI Skills
March 12, 2025

Welcome back to Daily AI Skills.

Here’s what we are covering today:
1. OpenAI Agent SDK - Agentic Workflows Made Simple
2. Google Gemma 3 Models - Crazy Open Source Models
3. Meta’s Own AI Chip - MTIA

+ 1 Insane Resource to help you get started with any programming framework

OpenAI’s Agent SDK: A Game Changer for AI Workflows

OpenAI has introduced an Agent SDK that significantly lowers the barrier to developing complex AI agent workflows. The new SDK allows developers to integrate AI capabilities into Python functions and create multi-agent handoffs with ease.

Key Highlights:

  • Function tools: Any Python function can be turned into an AI tool using a simple decorator. The SDK automatically generates the schema and validates inputs using Pydantic, making it easy to convert existing code into AI-powered tools.

  • Agent handoffs: Agents can delegate tasks to other specialized agents, enabling complex, multi-step workflows. Think of it as a team of AI specialists seamlessly collaborating on a task.

  • Built-in guardrails: Input validation and parallel checks prevent hallucinations and unexpected outputs, improving the reliability and safety of AI applications.

  • Tracing and debugging: Developers can monitor, visualize, and debug workflows with built-in tracing. OpenAI’s evaluation, fine-tuning, and distillation tools make it easier to refine and improve models.

  • Fast setup: Installation is straightforward, making it accessible to any Python developer.

Google Gemma 3: Redefining Accessible AI Innovation

Google has just launched Gemma 3, the latest iteration of its open-source AI model family, built on the same research and technology as the Gemini 2.0 models. Gemma 3 is designed to be lightweight, powerful, and accessible, capable of running on a single GPU or TPU, making it a game-changer for developers and researchers worldwide.

  • Model flexibility: Available in sizes ranging from 1 billion to 27 billion parameters, Gemma 3 caters to a variety of hardware capabilities and use cases. It supports over 35 languages out-of-the-box and offers pre-trained compatibility with over 140 languages, paired with a massive 128k-token context window—enough to process 30 high-res images, a 300-page book, or an hour of video.

  • Multimodal power: Unlike its predecessors, Gemma 3 can analyze text, images, and short videos, with an upgraded vision encoder supporting high-resolution and non-square images.

  • Safety companion: Alongside Gemma 3, Google introduced ShieldGemma 2, a 4B-parameter image safety checker that flags dangerous, explicit, or violent content, ensuring responsible AI deployment.

  • Performance edge: Google claims Gemma 3 outperforms competitors like Meta’s Llama-405B, DeepSeek-V3, and OpenAI’s o3-mini in human preference evaluations on LMArena’s leaderboard, positioning it as the most capable single-accelerator model available.

  • Developer-friendly: Integration with platforms like Vertex AI, Google Colab, and NVIDIA’s API Catalog, plus a fast setup via Google AI Studio, Kaggle, or Hugging Face, makes it accessible to developers of all levels.


    Read the full article by Google here

Meta’s First In-House AI Chip

Meta has started testing its first internally developed AI training chip, according to a Reuters report. The move aims to reduce reliance on Nvidia and cut down on rising AI infrastructure costs.

Key Highlights

  • The chip, part of Meta's MTIA series, is designed specifically for AI training and inference tasks and is being manufactured by TSMC.

  • The test follows Meta’s successful first "tape-out" — a key milestone confirming that the chip design is ready for large-scale manufacturing.

  • Meta already uses custom chips for recommendation systems on Facebook and Instagram, with plans to expand their use for generative AI products.

  • The company expects to roll out the new training chips at scale by 2026, potentially saving billions on its projected $65 billion AI infrastructure budget.

💡 Free Resource: Check out this GitHub repo with detailed roadmaps for any programming framework, plus free resources to master each component.

Interactive roadmaps, guides and other educational content to help developers grow in their careers.

Interactive roadmaps, guides and other educational content to help developers grow in their careers.

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