James Gan

*Open Source AI is the Path Forward* Open source AI represents the world’s best shot at harnessing this technology to create the greatest economic opportunity and security for everyone. Meta's release of Llama 3.1 marks a significant milestone in advancing open source AI. The benchmark results are impressive! The gap between closed-source and open-source models is quickly vanishing. Check them out here: https://llama.meta.com/ If you feel like doing a bit more reading, this blog by Mark Zuckerberg is just a gem! https://lnkd.in/d48iBtiR

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Excited to announce our upcoming webinar! 🚀 I have seen the challenges of managing complex ML pipelines so many times. Join us on May 29th at 11:30 AM EDT to learn why using too many tools can hinder your project's success and how to avoid these traps. Don't miss out! Register here: https://lnkd.in/dt3F29iV #MachineLearning #DataScience #QwakAcademy #MLPipeline #TechTalk #MLOps

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Today, Google Cloud and Anthropic made some exciting announcements: 📣 Claude 3 Opus, Anthropic’s most intelligent model, is now generally available on Vertex AI ⚙️ Tool use is available for the Claude 3 model family on Vertex AI, enabling Claude to act as an autonomous agent 📈Provisioned throughput is available for the Claude 3 model family on Vertex AI

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For anyone involved in large-scale data processing, particularly those considering Apache Flink or Google Cloud Dataflow. The article gives guideline on how to setup a fair benchmark consideration as well as potential optimization that can be done on the pipeline: Real-world Benchmark: It offers a practical, real-world benchmark study conducted by Yahoo, providing valuable insights into the cost and performance of these platforms under specific use cases. This can help organizations make informed decisions about their technology stack. Fair Comparison Methodology: The blog post outlines the methodology used to ensure a fair comparison between Flink and Dataflow, emphasizing the importance of controlling variables and establishing a consistent testing environment. This level of rigor adds credibility to the findings. Cost Optimization Focus: It focuses on cost-effectiveness, a critical factor for businesses. The post helps readers understand how to minimize costs on both platforms.

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