Tag: e-learning
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Cloud Blog: How to build Web3 AI agents with Google Cloud
Source URL: https://cloud.google.com/blog/products/ai-machine-learning/build-web3-ai-agents-with-google-cloud/ Source: Cloud Blog Title: How to build Web3 AI agents with Google Cloud Feedly Summary: For over two decades, Google has been a pioneer in AI, conducting groundwork that has shaped the industry. Concurrently, in the Web3 space, Google focuses on empowering the developer community by providing public goods resources like BigQuery…
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Cloud Blog: How to use Gemini 2.5 to fine-tune video outputs on Vertex AI
Source URL: https://cloud.google.com/blog/products/ai-machine-learning/how-to-fine-tune-video-outputs-using-vertex-ai/ Source: Cloud Blog Title: How to use Gemini 2.5 to fine-tune video outputs on Vertex AI Feedly Summary: Recently, we announced Gemini 2.5 is generally available on Vertex AI. As part of this update, tuning capabilities have extended beyond text outputs – now, you can tune image, audio, and video outputs on…
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Cloud Blog: Gemini momentum continues with launch of 2.5 Flash-Lite and general availability of 2.5 Flash and Pro on Vertex AI
Source URL: https://cloud.google.com/blog/products/ai-machine-learning/gemini-2-5-flash-lite-flash-pro-ga-vertex-ai/ Source: Cloud Blog Title: Gemini momentum continues with launch of 2.5 Flash-Lite and general availability of 2.5 Flash and Pro on Vertex AI Feedly Summary: The momentum of the Gemini 2.5 era continues to build. Following our recent announcements, we’re empowering enterprise builders and developers with even greater access to the intelligence,…
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Cloud Blog: Save early and often with multi-tier checkpointing to optimize large AI training jobs
Source URL: https://cloud.google.com/blog/products/ai-machine-learning/using-multi-tier-checkpointing-for-large-ai-training-jobs/ Source: Cloud Blog Title: Save early and often with multi-tier checkpointing to optimize large AI training jobs Feedly Summary: As foundation model training infrastructure scales to tens of thousands of accelerators, efficient utilization of those high-value resources becomes paramount. In particular, as the cluster gets larger, hardware failures become more frequent (~…
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Cloud Blog: Build a multi-agent KYC workflow in three steps using Google’s Agent Development Kit and Gemini
Source URL: https://cloud.google.com/blog/products/ai-machine-learning/build-kyc-agentic-workflows-with-googles-adk/ Source: Cloud Blog Title: Build a multi-agent KYC workflow in three steps using Google’s Agent Development Kit and Gemini Feedly Summary: Know Your Customer (KYC) processes are foundational to any Financial Services Institution’s (FSI) regulatory compliance practices and risk mitigation strategies. KYC is how financial institutions verify the identity of their customers…
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Cloud Blog: How good is your AI? Gen AI evaluation at every stage, explained
Source URL: https://cloud.google.com/blog/products/ai-machine-learning/how-to-evaluate-your-gen-ai-at-every-stage/ Source: Cloud Blog Title: How good is your AI? Gen AI evaluation at every stage, explained Feedly Summary: As AI moves from promising experiments to landing core business impact, the most critical question is no longer “What can it do?" but "How well does it do it?". Ensuring the quality, reliability, and…
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Cloud Blog: Lessons from the field: What decision-makers want to know about multi-agentic systems
Source URL: https://cloud.google.com/blog/products/ai-machine-learning/what-execs-want-to-know-about-multi-agentic-systems-with-ai/ Source: Cloud Blog Title: Lessons from the field: What decision-makers want to know about multi-agentic systems Feedly Summary: This year, we’ve spent dozens of hours synthesizing hundreds of conversations with CXOs across leading organizations, trying to uncover their biggest thorns when it comes to building Multi-Agent Systems (MAS). These conversations have revealed…
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Slashdot: Meta in Talks for Scale AI Investment That Could Top $10 Billion
Source URL: https://tech.slashdot.org/story/25/06/09/1421259/meta-in-talks-for-scale-ai-investment-that-could-top-10-billion?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Meta in Talks for Scale AI Investment That Could Top $10 Billion Feedly Summary: AI Summary and Description: Yes Summary: Meta’s potential multibillion-dollar investment in the AI startup Scale AI highlights the growing importance of data labeling services in the development of machine-learning models, especially as generative AI gains…
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Cloud Blog: Accelerate your gen AI: Deploy Llama4 & DeepSeek on AI Hypercomputer with new recipes
Source URL: https://cloud.google.com/blog/products/ai-machine-learning/deploying-llama4-and-deepseek-on-ai-hypercomputer/ Source: Cloud Blog Title: Accelerate your gen AI: Deploy Llama4 & DeepSeek on AI Hypercomputer with new recipes Feedly Summary: The pace of innovation in open-source AI is breathtaking, with models like Meta’s Llama4 and DeepSeek AI’s DeepSeek. However, deploying and optimizing large, powerful models can be complex and resource-intensive. Developers and…
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Cloud Blog: Multimodal agents tutorial: How to use Gemini, Langchain, and LangGraph to build agents for object detection
Source URL: https://cloud.google.com/blog/products/ai-machine-learning/build-multimodal-agents-using-gemini-langchain-and-langgraph/ Source: Cloud Blog Title: Multimodal agents tutorial: How to use Gemini, Langchain, and LangGraph to build agents for object detection Feedly Summary: Here’s a common scenario when building AI agents that might feel confusing: How can you use the latest Gemini models and an open-source framework like LangChain and LangGraph to create…