Your AI models are failing in production—Here’s how to fix model selection
The Allen Institute of AI updated its reward model evaluation RewardBench to better reflect real-life scenarios for enterprises.Read More
Teaching AI models the broad strokes to sketch more like humans do
When you’re trying to communicate or understand ideas, words don’t always do the trick. Sometimes the more efficient approach is to do a simple sketch of that concept—for example, diagramming a circuit might help make sense of how the system works.
Flux Kontext Images — Note how well it keeps the clothes and face and hair
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How AI Agents Are Transforming Marketing Workflows
AI agents move beyond task automation to deliver real-time optimization, brand governance, and marketing outcomes across channels.
Word Embeddings in Language Models
This post is divided into three parts; they are: • Understanding Word Embeddings • Using Pretrained Word Embeddings • Training Word2Vec with Gensim • Training Word2Vec with PyTorch • Embeddings in Transformer Models Word embeddings represent words as dense vectors in a continuous space, where semantically similar words are positioned close to each other.
Prompting Whisper for Improved Verbatim Transcription and End-to-end Miscue Detection
*Equal Contributors Identifying mistakes (i.e., miscues) made while reading aloud is commonly approached post-hoc by comparing automatic speech recognition (ASR) transcriptions to the target reading text. However, post-hoc methods perform poorly when ASR inaccurately transcribes verbatim speech. To improve on current methods for reading error annotation, we propose a novel end-to-end architecture that incorporates the …
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Build GraphRAG applications using Amazon Bedrock Knowledge Bases
In these days, it is more common to companies adopting AI-first strategy to stay competitive and more efficient. As generative AI adoption grows, the technology’s ability to solve problems is also improving (an example is the use case to generate comprehensive market report). One way to simplify the growing complexity of problems to be solved …
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How S&P is using deep web scraping, ensemble learning and Snowflake architecture to collect 5X more data on SMEs
Previously, S&P only had data on about 2 million SMEs, but its AI-powered RiskGauge platform expanded that to 10 million. Read More
MSI Titan 18 HX AI Review: The Ultimate Gaming Laptop
MSI’s largest and most powerful gaming laptop is also its most premium, sporting a mini-LED screen and an invisible touchpad.
Self-powered artificial synapse mimics human color vision
Despite advances in machine vision, processing visual data requires substantial computing resources and energy, limiting deployment in edge devices. Now, researchers from Japan have developed a self-powered artificial synapse that distinguishes colors with high resolution across the visible spectrum, approaching human eye capabilities. The device, which integrates dye-sensitized solar cells, generates its electricity and can …
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