News
Scaling Industrial Intelligence: Architectural Patterns from a Machine Learning Development Company
1+ day, 5+ hour ago (18+ words) Deploy production-ready machine learning models. Learn about deep learning, predictive analytics pipelines, MLOps orchestration, and data infrastructure....
AI Inference at the Edge: Running Real-Time LLMs in Kubernetes Without a GPU Farm
4+ day, 17+ hour ago (1417+ words) How cloud-native tooling is enabling distributed AI inference on heterogeneous edge hardware, slashing latency and infrastructure costs for production workloads. Forward-thinking platform teams are moving AI inference out of centralized GPU data centers and into distributed Kubernetes clusters running closer…...
Allen's Rishabh Chhajer on how AI is changing coaching and test prep
5+ day, 16+ hour ago (343+ words) The Economic Times Video | ET Tv The Economic Times Allen's Rishabh Chhajer on how AI is changing coaching and test prep AI cannot replace human influence and leadership: Godrej CDIO Hinduja's Ramesh Narayanaswamy: Agentic AI can be used to pull…...
Allen's Rishabh Chhajer on how AI is changing coaching and test prep - The Economic Times Video | ET Now
5+ day, 15+ hour ago (336+ words) Allen's Rishabh Chhajer on how AI is changing coaching and test prep The Economic Times Allen's Rishabh Chhajer on how AI is changing coaching and test prep AI cannot replace human influence and leadership: Godrej CDIO Hinduja's Ramesh Narayanaswamy: Agentic…...
IITM Pravartak Announces Batch 03 of Applied Artificial Intelligence and Deep Learning Programme to Build Enterprise-Ready AI Talent
5+ day, 16+ hour ago (783+ words) Ahmedabad Mirror - IITM Pravartak Announces Batch 03 of Applied Artificial Intelligence and Deep Learning Programme to Build Enterprise-Ready AI Talent The programme aims to equip professionals to build production-grade AI capabilities across machine learning, deep learning, MLOps, cybersecurity, Generative AI, LLMs,…...
Production Monitoring: Drift, Regression & Alerting for Models
5+ day, 15+ hour ago (458+ words) Models in production erode'not explode. Small, persistent shifts in inputs, labels, or upstream pipelines quietly convert statistical wins into business losses, and absent the right telemetry you will only notice once customers or auditors notice first. The friction you feel…...
Replicate Review: The Easiest Way to Deploy and Scale ML Models
6+ day, 20+ hour ago (167+ words) Replicate (featured on Quasa. io/projects/replicate) is the leading cloud platform for running and sharing open-source machine learning models in 2026. It makes it ridiculously easy for developers and companies to run state-of-the-art AI models " from image generators and LLMs…...
You Spent $35, 000 Fine-Tuning a Model. A $28, 000 RAG System Would Have Done It Better.
6+ day, 21+ hour ago (1355+ words) The most expensive mistake in enterprise AI right now is fine-tuning when retrieval is the actual answer. The Decision That Costs More Than It Should When an enterprise AI project needs domain-specific knowledge, two paths appear obvious. Fine-tune the model…...
Meta AI Career Opportunities: Skills to Learn
1+ week, 18+ hour ago (1159+ words) Meta has placed AI at the center of its product and infrastructure strategy. Its open-weight Llama models are now widely used by developers and enterprises, with Meta reporting more than 1 billion Llama downloads. Meta AI has also been reported to…...
SQM: From Fragmented Data Silos to Real-Time ML Operations with Open Sharing
1+ week, 2+ day ago (161+ words) Databricks SQM: From Fragmented Data Silos to Real-Time ML Operations with Open Sharing SQM set out to increase production efficiency by improving how raw materials are converted into finished product. But, it faced a classic data engineering challenge: critical operational…...