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Despite the seemingly unstoppable adoption of LLMs across industries, they are one component of a broader technology ecosystem that is powering the new AI wave. Many conversational AI use cases require LLMs like Llama 2, Flan T5, and Bloom to respond to user queries. These models rely on parametric knowledge to answer questions. The model …
We are in the midst of an exciting era of AI-driven innovation and transformation. Today we announced AI Hypercomputer, a groundbreaking architecture that employs an integrated system of AI-optimized hardware, software, and consumption models. With AI Hypercomputer, enterprises everywhere can run on the same cutting-edge infrastructure that is already the backbone of Google’s internal AI/ML …
Read more “Dynamic Workload Scheduler: Optimizing resource access and economics for AI/ML workloads”
Toronto Pearson International Airport, in Ontario, Canada, is the country’s largest and busiest airport, serving some 50 million passengers each year. To enhance traveler experiences, the airport in June deployed the Zensors AI platform, which uses anonymized footage from existing security cameras to generate spatial data that helps optimize operations in real time. A member …
Read more “Visual AI Takes Flight at Canada’s Largest, Busiest Airport”
*=Equal Contributors Preserving training dynamics across batch sizes is an important tool for practical machine learning as it enables the trade-off between batch size and wall-clock time. This trade-off is typically enabled by a scaling rule; for example, in stochastic gradient descent, one should scale the learning rate linearly with the batch size. Another important …
https://medium.com/media/bdef0ccaad6ac41db586a138ca62db39/href Introduction Welcome to another installment of our Building with AIP series, where Palantir engineers and architects take you through how to build end-to-end workflows using our Artificial Intelligence Platform (AIP). Today we’re covering Ontology Augmented Generation (OAG), which is a more expansive, decision-centric version of Retrieval Augmented Generation (RAG). At a high level, RAG …
Read more “Building with Palantir AIP: Data Tools for RAG / OAG”
Enhancing the customer experience through customer service is among the most important disciplines for any organization for one simple reason: without customers, organizations would fail overnight. Customer service, sometimes called customer care or customer support, relates to the activities organizations take to ensure their customers’ needs are being met. While every customer interaction is different, …
Read more “Beyond basics: Six tips for an exceptional customer service strategy”
Posted by Malaya Jules, Program Manager, Google Google is proud to be a Diamond Sponsor of Empirical Methods in Natural Language Processing (EMNLP 2023), a premier annual conference, which is being held this week in Sentosa, Singapore. Google has a strong presence at this year’s conference with over 65 accepted papers and active involvement in …
Large language model (LLM) training has become increasingly popular over the last year with the release of several publicly available models such as Llama2, Falcon, and StarCoder. Customers are now training LLMs of unprecedented size ranging from 1 billion to over 175 billion parameters. Training these LLMs requires significant compute resources and time as hundreds …
Read more “Enable faster training with Amazon SageMaker data parallel library”
Businesses are under increased pressure to do more with less, while customer expectations and demands have never been higher. Today’s enterprises need a way to be more productive, effective, and responsive while still addressing the operational challenges of cost containment, risk reduction, security, and compliance. Google Cloud partner of 15 years, EPAM Systems, a leading …
GPUs have been called the rare Earth metals — even the gold — of artificial intelligence, because they’re foundational for today’s generative AI era. Three technical reasons, and many stories, explain why that’s so. Each reason has multiple facets well worth exploring, but at a high level: GPUs employ parallel processing. GPU systems scale up …