engblogs

A detailed overview of designing and implementing the Connections Reference Dashboard, a Vue.js and Flask-based internal tool enhancing puzzle editor workflow through efficient data caching, dynamic search capabilities, and an intuitive UI.

Global Payouts by Stripe streamlines and secures cross-border money transfers to third parties with multi-currency support, no-code integrations, and fraud protection.

Strategies to educate students on identifying and addressing biases in AI training datasets, emphasizing critical thinking and diverse perspectives for more equitable healthcare models.

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.