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SketchAgent leverages multimodal language models to mimic human-like, stroke-by-stroke sketching, enabling collaborative and natural visual communication between AI and users.

MIT researchers leverage AI and large language models to identify sustainable cement alternatives in concrete, enabling reduced emissions and cost savings through efficient material selection and circular economy principles.

A candid exploration of the transformative impact of large language models and AI agents on software development, addressing skepticism, practical benefits, and the evolving role of developers.

Pinterest leverages user surveys to enable healthier personalization that balances engagement and wellbeing, creating more relevant and inspiring content while avoiding pitfalls of depersonalized or purely engagement-based feeds.

Product Key Memory (PKM) sparse coders offer a faster training alternative to traditional TopK skip transcoders with comparable reconstruction error and improved interpretability through natural latent grouping.

Snorkel AI unveils two new products—Snorkel Evaluate and Expert Data-as-a-Service—offering enterprises a unified platform to develop, evaluate, and deploy specialized, expert-level agentic AI systems with scalable, trustable data solutions.

Leveraging Snorkel's AI Data Development Platform, this post details the data-centric creation, evaluation, and tuning of a specialized enterprise AI underwriting agent using benchmark datasets, custom evaluators, and reinforcement learning.

A comprehensive overview of enhancing the Pinterest home feed pre-ranking stage through advanced model architectures, efficient system design, and unbiased training data pipelines to significantly improve user engagement and recommendation quality.

Qwen3 32B, a 32-billion parameter dense LLM with hybrid reasoning, multilingual support, and agentic capabilities, is now accessible via Lambda's cost-efficient Inference API for advanced coding, reasoning, and multi-task applications.

A comprehensive guide to deploying real-world applications using Kamal 2.0, covering essential production practices, Docker integration, security, and practical tips for effective Rails 8 deployment.

Airbnb revolutionizes voice support by integrating machine learning models for speech recognition, intent detection, help article retrieval, and paraphrasing, enhancing real-time, self-service customer interactions and reducing reliance on human agents.

Dropbox Dash enhances universal search by integrating scalable multimedia retrieval through metadata indexing, just-in-time previews, and geolocation-aware queries, delivering fast and relevant search for images, videos, and audio alongside text files.