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In 2018, I sat in the audience at AWS re:Invent as Andy Jassy announced AWS DeepRacer—a fully autonomous 1/18th scale race car driven by reinforcement learning. At the time, I knew little about AI or machine learning (ML). As an engineer transitioning from legacy networks to cloud technologies, I had never considered myself a developer. …
Read more “Racing into the future: How AWS DeepRacer fueled my AI and ML journey”
Humans and animals move with remarkable economy without consciously thinking about it by utilizing the natural oscillation patterns of their bodies. A new tool can now utilize this knowledge for the first time to make robots move more efficiently.
The AI Science Forum highlights AI’s present and potential role in revolutionizing scientific discovery and solving global challenges, emphasizing collaboration between the scientific community, policymakers, and industry leaders.
This paper was accepted at the Efficient Natural Language and Speech Processing (ENLSP) Workshop at NeurIPS 2024. Large Language Models (LLMs) typically generate outputs token by token using a fixed compute budget, leading to inefficient resource utilization. To address this shortcoming, recent advancements in mixture of expert (MoE) models, speculative decoding, and early exit strategies …
Read more “Duo-LLM: A Framework for Studying Adaptive Computation in Large Language Models”
Today, we are happy to announce the availability of Binary Embeddings for Amazon Titan Text Embeddings V2 in Amazon Bedrock Knowledge Bases and Amazon OpenSearch Serverless. With support for binary embedding in Amazon Bedrock and a binary vector store in OpenSearch Serverless, you can use binary embeddings and binary vector store to build Retrieval Augmented …
The rapid advancement of generative AI promises transformative innovation, yet it also presents significant challenges. Concerns about legal implications, accuracy of AI-generated outputs, data privacy, and broader societal impacts have underscored the importance of responsible AI development. Responsible AI is a practice of designing, developing, and operating AI systems guided by a set of dimensions …
At Google Cloud, we’re rapidly advancing our high-performance computing (HPC) capabilities, providing researchers and engineers with powerful tools and infrastructure to tackle the most demanding computational challenges. Here’s a look at some of the key developments driving HPC innovation on Google Cloud, as well as our presence at Supercomputing 2024. You can also stay apprised …
Read more “What’s new with HPC and AI infrastructure at Google Cloud”
Cloud costs can significantly impact your business operations. Gaining real-time visibility into infrastructure expenses, usage patterns, and cost drivers is essential. This insight enables agile decision-making, optimized scalability, and maximizes the value derived from cloud investments, providing cost-effective and efficient cloud utilization for your organization’s future growth. What makes cost visibility even more important for …
Crafting the perfect prompt for generative AI models can be an art in itself. The difference between a useful and a generic AI response can sometimes be a well-crafted prompt. But, getting there often requires time-consuming tweaking, iteration, and a learning curve. That’s why we’re thrilled to announce new updates to the AI-powered prompt writing …
Read more “Use AI to build AI: Save time on prompt design with AI-powered prompt writing”
How Defense Efforts Align with Human Rights Palantir’s Founding Connection to Human Rights Palantir has its origins and identity in the defense of the values and traditions of liberal democratic societies. Our company was founded in response to the 9/11 attacks with the mission of supporting bedrock defense and intelligence institutions without compromising the protection of the …