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#12 | The AI That Builds AI: How Google's ADK Turns a Developer into an Architect
What if you had an AI assistant that didn't just help you write code, but took on the entire complex workload of an ML engineer? Searching for information, testing hypotheses, fixing errors, and delivering a complete, optimized solution for your business problem. This isn't science fiction; it's a reality made possible by Google's Agent Development Kit (ADK).
In this episode of Expansion, we demystify this powerful yet complex technology. Using simple analogies, we explain the MLE-STAR architecture and how ADK transforms your computer from a "workhorse" into a "command center," with all the heavy "thinking" done in the cloud. Discover how this tool enables a solo developer to offer services of a much higher value.
To help you take the first step, we've prepared an exclusive bonus: "Guide: How to Launch Your First ADK-Powered AI Agent in 3 Steps and Solve the 'Titanic' Kaggle Challenge." This practical quick-start guide is available for free, only to our Telegram channel subscribers.
Timestamps:
00:00 - What is Google's Agent Development Kit? Explained with a race car analogy.
00:35 - Thesis 1: The AI That Builds AI. How it works in practice.
01:14 - Thesis 2: From Writing Code to Architecting Solutions.
01:38 - Thesis 3: Your Personal Super-Intelligent Assistant.
02:22 - Where to download the guide to launch your first AI agent.
Enjoyed this episode? Support Expansion!
Your subscription, like, and comment are the best way to support our project.
🌐 Website: https://aiix.pro
🔹 Author Contact: https://t.me/ruhunt
🔹 Watch us on YouTube: https://www.youtube.com/@xxpnsn
🔹 Our Telegram Hub (Bonuses & Insights): https://t.me/xxpnsn
🔹 Listen on all platforms: https://xpnsn.mave.digital
🔹 X (Twitter): https://x.com/xxpnsn
Sources & Further Reading:
1. MLE-Bench: Evaluating Machine Learning Agents on Machine Learning Engineering (Research Paper): https://arxiv.org/pdf/2405.18381
2. Agent Development Kit (ADK) / AXlearn Repository (GitHub): https://github.com/google/axlearn/tree/main/axlearn/cloud/gcp/jobs/agent_search/examples/mle_star
Tags:
#ADK #MLESTAR #AIAgent #Automation #MachineLearning #MLEngineer #GoogleAI #AIforBusiness #aiixpro #ExpansionPodcast
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By RuhuntWhat if you had an AI assistant that didn't just help you write code, but took on the entire complex workload of an ML engineer? Searching for information, testing hypotheses, fixing errors, and delivering a complete, optimized solution for your business problem. This isn't science fiction; it's a reality made possible by Google's Agent Development Kit (ADK).
In this episode of Expansion, we demystify this powerful yet complex technology. Using simple analogies, we explain the MLE-STAR architecture and how ADK transforms your computer from a "workhorse" into a "command center," with all the heavy "thinking" done in the cloud. Discover how this tool enables a solo developer to offer services of a much higher value.
To help you take the first step, we've prepared an exclusive bonus: "Guide: How to Launch Your First ADK-Powered AI Agent in 3 Steps and Solve the 'Titanic' Kaggle Challenge." This practical quick-start guide is available for free, only to our Telegram channel subscribers.
Timestamps:
00:00 - What is Google's Agent Development Kit? Explained with a race car analogy.
00:35 - Thesis 1: The AI That Builds AI. How it works in practice.
01:14 - Thesis 2: From Writing Code to Architecting Solutions.
01:38 - Thesis 3: Your Personal Super-Intelligent Assistant.
02:22 - Where to download the guide to launch your first AI agent.
Enjoyed this episode? Support Expansion!
Your subscription, like, and comment are the best way to support our project.
🌐 Website: https://aiix.pro
🔹 Author Contact: https://t.me/ruhunt
🔹 Watch us on YouTube: https://www.youtube.com/@xxpnsn
🔹 Our Telegram Hub (Bonuses & Insights): https://t.me/xxpnsn
🔹 Listen on all platforms: https://xpnsn.mave.digital
🔹 X (Twitter): https://x.com/xxpnsn
Sources & Further Reading:
1. MLE-Bench: Evaluating Machine Learning Agents on Machine Learning Engineering (Research Paper): https://arxiv.org/pdf/2405.18381
2. Agent Development Kit (ADK) / AXlearn Repository (GitHub): https://github.com/google/axlearn/tree/main/axlearn/cloud/gcp/jobs/agent_search/examples/mle_star
Tags:
#ADK #MLESTAR #AIAgent #Automation #MachineLearning #MLEngineer #GoogleAI #AIforBusiness #aiixpro #ExpansionPodcast