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How KDDI built Buffmee, a faster, reliable consumer RAG app

by AI Generated Robotic ContentFAANGPosted on Comments are Disabled

When building consumer-facing generative AI applications,  balancing high generation quality with fast response times across diverse media types, can be challenging. KDDI, a major telecommunications carrier in Japan, tackled this challenge head-on when they developed Buffmee, their consumer Retrieval-Augmented Generation (RAG) app.   Buffmee is an interactive AI service built on the concept of ‘AI that …

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Memristor chip breaks the capacity limit of brain-inspired associative memory

by AI Generated Robotic ContentAI/ML NewsPosted on Comments are Disabled

Researchers in the Department of Electrical and Computer Engineering of the Faculty of Engineering and the Centre for Advanced Semiconductors and Integrated Circuits (CASIC) at the University of Hong Kong (HKU) have made a breakthrough in brain-inspired computing. In collaboration with Hewlett Packard Labs, the team has developed a memristor chip that overcomes a long-standing …

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Long AI conversations reveal misinformation vulnerabilities across seven leading chatbots

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The results are in: Which AI model is the most fallible? Persuadable? Correctible? University of Arizona researchers assessed seven different generative AI large language models, or LLMs, for these three qualities during lengthy conversations. Their work, published in Nature’s Scientific Reports, reveals intrinsic limitations that might go undetected during one-off interactions.

[Experiment] I trained a model on childhood photos to simulate memory recall

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I fine-tuned the good-old SDXL on 60 photographs from my childhood, using a limited family archive as the dataset through which to revisit that period of my life. Rather than reconstructing those images faithfully, the model produces unstable variations: spaces, faces and fragments that feel familiar without necessarily having existed. This speculative study treats generative …

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Deploy a multimodal WhatsApp ordering assistant with Amazon Bedrock AgentCore

by AI Generated Robotic ContentFAANGPosted on Comments are Disabled

This post shows how to deploy a multimodal WhatsApp ordering assistant built with Amazon Bedrock AgentCore and Amazon Nova 2. Many quick-service restaurants spread ordering across an app, a website, a phone line, and the counter. Each of those is a separate system to build and run. Each one also fragments the customer’s history, making …

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