BestHub
Sign in
Machine Learning Algorithms & Natural Language Processing
Machine Learning Algorithms & Natural Language Processing
Feb 18, 2026 · Artificial Intelligence

Microsoft’s 671B LLM Unifies Offline Ad Tasks—Can It Cut Compute Costs?

Microsoft’s AdNanny replaces a forest of specialized offline models with a single 671 B LLM, using a three‑stage data factory to generate reasoning‑rich corpora, dynamic task re‑weighting, RL‑based metric alignment, and a hybrid 31‑pipeline‑parallel architecture that halves compute cost while boosting performance on core ad‑ranking tasks.

AdNannyLLMdynamic weighting
0 likes · 9 min read
Microsoft’s 671B LLM Unifies Offline Ad Tasks—Can It Cut Compute Costs?
21CTO
21CTO
Oct 24, 2015 · Artificial Intelligence

Building an Offline Recommendation System with Mahout: Practical Steps and Tips

This article walks through the end‑to‑end process of building an offline recommendation system using Mahout, covering data collection, filtering, storage, various collaborative‑filtering algorithms, similarity measures, evaluation metrics, parameter tuning, AB testing, and spam‑fighting strategies.

Mahoutcollaborative filteringmachine learning
0 likes · 16 min read
Building an Offline Recommendation System with Mahout: Practical Steps and Tips