AI Learning YouTube News & VideosMachineBrain

Google Cloud Next Unveils Agent Developer Kit: Python Integration & Model Support

Google Cloud Next Unveils Agent Developer Kit: Python Integration & Model Support
Image copyright Youtube
Authors
    Published on
    Published on

At Google Cloud Next, Sam Witteveen delves into Google's latest creation - the Agent Developer Kit. This kit, designed for cloud deployment, boasts a cutting-edge multi-agent architecture that sets it apart from the competition. Google's approach is bold and innovative, integrating tools from Lang Chain and other frameworks to enhance functionality. The focus on state, memory, and event-driven processes showcases Google's commitment to pushing boundaries in the world of agent frameworks.

Google's collaboration with the Gemini team hints at a promising future for the Agent Developer Kit. By supporting Gemini and OpenAI models, Google is positioning itself as a frontrunner in the field. The decision to stick with Python for now may disappoint some, but plans for potential JS versions show Google's willingness to adapt. Early stages reveal API references, tutorials, and a seamless integration with various models, including the powerful Gemini 2.5 Pro.

Sam Witteveen's upcoming videos promise an in-depth exploration of the Agent Developer Kit, highlighting its strengths and potential weaknesses. As Google continues to refine its creation, the close relationship with the Gemini team may lead to groundbreaking advancements in agent frameworks. The release of new TPUs and a framework for agent-to-agent communication at Google Cloud Next further solidify Google's position as a trailblazer in the tech world. Stay tuned for more exciting updates and insights from Sam on this thrilling development.

google-cloud-next-unveils-agent-developer-kit-python-integration-model-support

Image copyright Youtube

google-cloud-next-unveils-agent-developer-kit-python-integration-model-support

Image copyright Youtube

google-cloud-next-unveils-agent-developer-kit-python-integration-model-support

Image copyright Youtube

google-cloud-next-unveils-agent-developer-kit-python-integration-model-support

Image copyright Youtube

Watch Google Launches an Agent SDK on Youtube

Viewer Reactions for Google Launches an Agent SDK

Positive feedback on the honesty and lack of hyperbole in the video

Excitement for Google's new Agent SDK and looking forward to testing it out

Speculation on Google becoming a leader in AI

Appreciation for the channel and its content

Curiosity about the orchestration logic in the new tool

Comparison between ADK and Genkit, questioning the timing of their introduction

Concerns about security and access to local machines

Recognition of Google's innovations and ecosystem

Request for a deep dive into deployment options for the new tool

Humorous comments and language preferences regarding programming languages

unleashing-gemini-cli-googles-free-ai-coding-tool
Sam Witteveen

Unleashing Gemini CLI: Google's Free AI Coding Tool

Discover the Gemini CLI by Google and the Gemini team. This free tool offers 60 requests per minute and 1,000 requests per day, empowering users with AI-assisted coding capabilities. Explore its features, from grounding prompts in Google Search to using various MCPS for seamless project management.

nanets-ocr-small-advanced-features-for-specialized-document-processing
Sam Witteveen

Nanet's OCR Small: Advanced Features for Specialized Document Processing

Nanet's OCR Small, based on Quen 2.5VL, offers advanced features like equation recognition, signature detection, and table extraction. This model excels in specialized OCR tasks, showcasing superior performance and versatility in document processing.

revolutionizing-language-processing-quens-flexible-text-embeddings
Sam Witteveen

Revolutionizing Language Processing: Quen's Flexible Text Embeddings

Quen introduces cutting-edge text embeddings on HuggingFace, offering flexibility and customization. Ranging from 6B to 8B in size, these models excel in benchmarks and support instruction-based embeddings and reranking. Accessible for local or cloud use, Quen's models pave the way for efficient and dynamic language processing.

unleashing-chatterbox-tts-voice-cloning-emotion-control-revolution
Sam Witteveen

Unleashing Chatterbox TTS: Voice Cloning & Emotion Control Revolution

Discover Resemble AI's Chatterbox TTS model, revolutionizing voice cloning and emotion control with 500M parameters. Easily clone voices, adjust emotion levels, and verify authenticity with watermarks. A versatile and user-friendly tool for personalized audio content creation.