We are witnessing a rapid increase in the adoption of large language models (LLM) that power generative AI applications across industries. LLMs are capable of a variety of tasks, such as generating creative content, answering inquiries via chatbots, generating code, and more. Organizations looking to use LLMs to power their applications are increasingly wary about …
The convergence of high performance computing (HPC) systems and AI and machine learning workloads is transforming the way we solve complex problems. HPC systems are well-suited for AI and machine learning workloads because they offer the AI-enabled computing infrastructure and parallel processing capabilities needed to train ML workloads like large language models (LLMs) — AI …
Read more “Running AI and ML workloads with the Cloud HPC Toolkit”
For individuals and organizations interested in building their own GPTs, here’s a brief overview on getting started.Read More
Top senate officials are planning to save the Section 702 surveillance program by attaching it to a crucial piece of legislation. Critics worry a chance to pass privacy reforms will be missed.
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Here’s a detailed overview of the U.S. government’s strategic roadmap for comprehensive AI integration and regulation across various areas.
Posted by Katherine Heller, Research Scientist, Google Research, on behalf of the CAIR Team Artificial intelligence (AI) and related machine learning (ML) technologies are increasingly influential in the world around us, making it imperative that we consider the potential impacts on society and individuals in all aspects of the technology that we create. To these …
Read more “Responsible AI at Google Research: Context in AI Research (CAIR)”
Working together to create open-source and private datasets for AI training.
Apache Kafka is a high-performance, highly scalable event streaming platform. To unlock Kafka’s full potential, you need to carefully consider the design of your application. It’s all too easy to write Kafka applications that perform poorly or eventually hit a scalability brick wall. Since 2015, IBM has provided the IBM Event Streams service, which is …
Read more “Five scalability pitfalls to avoid with your Kafka application”
Posted by Katherine Heller, Research Scientist, Google Research, on behalf of the CAIR Team Artificial intelligence (AI) and related machine learning (ML) technologies are increasingly influential in the world around us, making it imperative that we consider the potential impacts on society and individuals in all aspects of the technology that we create. To these …
Read more “Responsible AI at Google Research: Context in AI Research (CAIR)”