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Traditionally, insurance claims processing has been a labor-intensive and time-consuming process, often involving manual verification of documents and data entry. This can lead to delays in claim settlements and a frustrating experience for policyholders. Loadsure, a global Insurtech firm based in London, recognized the need to address these challenges and sought a solution that would …
Many app developers are interested in building on device experiences that integrate increasingly capable large language models (LLMs). Running these models locally on Apple silicon enables developers to leverage the capabilities of the user’s device for cost-effective inference, without sending data to and from third party servers, which also helps protect user privacy. In order …
Fine-tuning is a powerful approach in natural language processing (NLP) and generative AI, allowing businesses to tailor pre-trained large language models (LLMs) for specific tasks. This process involves updating the model’s weights to improve its performance on targeted applications. By fine-tuning, the LLM can adapt its knowledge base to specific data and tasks, resulting in …
Read more “Best practices and lessons for fine-tuning Anthropic’s Claude 3 Haiku on Amazon Bedrock”
AWS offers powerful generative AI services, including Amazon Bedrock, which allows organizations to create tailored use cases such as AI chat-based assistants that give answers based on knowledge contained in the customers’ documents, and much more. Many businesses want to integrate these cutting-edge AI capabilities with their existing collaboration tools, such as Google Chat, to …
Read more “Create a generative AI–powered custom Google Chat application using Amazon Bedrock”
In the rapidly evolving landscape of artificial intelligence, enterprise AI engineering teams must constantly seek cutting-edge solutions to drive innovation, enhance productivity, and maintain a competitive edge. In leveraging an AI observability and evaluation platform like Arize AI with the advanced capabilities of Google’s suite of AI tools, enterprises looking to push the boundaries of …
Our pioneering speech generation technologies are helping people around the world interact with more natural, conversational and intuitive digital assistants and AI tools.
Translating text that contains entity names is a challenging task, as cultural-related references can vary significantly across languages. These variations may also be caused by transcreation, an adaptation process that entails more than transliteration and word-for-word translation. In this paper, we address the problem of cross-cultural translation on two fronts: (i) we introduce XC-Translate, the …
Preserving and taking advantage of institutional knowledge is critical for organizational success and adaptability. This collective wisdom, comprising insights and experiences accumulated by employees over time, often exists as tacit knowledge passed down informally. Formalizing and documenting this invaluable resource can help organizations maintain institutional memory, drive innovation, enhance decision-making processes, and accelerate onboarding for …
The rise of generative AI has ushered in an era of unprecedented innovation, demanding increasingly complex and more powerful AI models. These advanced models necessitate high-performance infrastructure capable of efficiently scaling AI training, tuning, and inferencing workloads while optimizing for both system performance and cost effectiveness. Google Cloud has been pioneering AI infrastructure for over …
Read more “Powerful infrastructure innovations for your AI-first future”
This paper was accepted at the Efficient Natural Language and Speech Processing (ENLSP) workshop at NeurIPS 2024. Speculative decoding is a prominent technique to speed up the inference of a large target language model based on predictions of an auxiliary draft model. While effective, in application-specific settings, it often involves fine-tuning both draft and target …
Read more “Speculative Streaming: Fast LLM Inference Without Auxiliary Models”