AI-powered robot learns how to harvest tomatoes more efficiently

4 hours ago

A new tomato-picking robot is learning to think before it acts. Instead of simply identifying ripe fruit, it predicts how…

Trained on Tokens, Calibrated on Concepts: The Emergence of Semantic Calibration in LLMs

4 hours ago

Large Language Models (LLMs) often lack meaningful confidence estimates for their outputs. While base LLMs are known to exhibit next-token…

Manufacturing with the Connected Edge

4 hours ago

Industrial and defense environments generate massive amounts of data that can’t wait for the cloud. Latency is often measured in…

Scaling Global Storytelling: Modernizing Localization Analytics at Netflix

4 hours ago

Valentin Geffrier, Tanguy CornuauEach year, we bring the Analytics Engineering community together for an Analytics Summit — a multi-day internal conference to share…

Deploy SageMaker AI inference endpoints with set GPU capacity using training plans

4 hours ago

Deploying large language models (LLMs) for inference requires reliable GPU capacity, especially during critical evaluation periods, limited-duration production testing, or…

Kubernetes as AI Infrastructure: Google Cloud, llm-d, and the CNCF

4 hours ago

At Google Cloud, serving the massive-scale needs of large foundation model builders and AI-native companies is at the forefront of…

stay away from higgsfield ai. total predatory bs with their refunds.

3 weeks ago

edit/fyi: i originally posted this on their official sub, but they literally locked the thread and deleted my post right…

Build Semantic Search with LLM Embeddings

3 weeks ago

Traditional search engines have historically relied on keyword search.

Optimizing Recommendation Systems with JDK’s Vector API

3 weeks ago

By Harshad SaneRanker is one of the largest and most complex services at Netflix. Among many things, it powers the personalized…

Building specialized AI without sacrificing intelligence: Nova Forge data mixing in action

3 weeks ago

Large language models (LLMs) perform well on general tasks but struggle with specialized work that requires understanding proprietary data, internal…