News
AI Readiness Assessment for AI Pilot to Production Success
11+ hour, 41+ min ago (1061+ words) Your AI prototype passes the demo review. Production exposes the real blockers. The RAG pipeline pulls stale context. The model burns tokens reading broad data dumps. A small prompt change breaks a downstream workflow. NVIDIA's 2026 State of AI report, as…...
Py Torch | AI Companies
2+ day, 3+ hour ago (62+ words) Py Torch is an open-source deep learning framework, originally developed by Meta, that enables researchers and developers to build and train neural networks in Python with GPU-accelerated tensor computation and dynamic computation graphs. Now stewarded by the Py Torch Foundation…...
Machine Learning Systems at Scale
3+ day, 1+ hour ago (248+ words) " Volume II: At Scale. Distributed training, fleet operations, and responsible deployment. " First time here? Start with Volume I: Foundations " open access, free forever. " Alongside the book: Tiny Torch (build) " Hardware Kits (deploy) " MLSys"im (model) " Labs (explore) " Staff ML (practice) " Newsletter: ML…...
Machine learning in production: the model is the easy part
3+ day, 15+ hour ago (517+ words) A model that scores 95% on your test set feels like the finish line. Then you ship it, and you find out it was the starting line. The model was maybe 10% of the work; everything that makes it survive production is…...
Deploying MLflow Open-Source Machine Learning Experiment Tracking on Ubuntu 24. 04
4+ day, 47+ min ago (126+ words) 1. Create the project directory: 2. Create the environment file: 3. Create the basic-auth configuration: 4. Create a Dockerfile that adds the auth-server extras and Postgres/S3 clients to the official image: 1. Create the Compose manifest: 2. Build and start the stack: 3. Verify the services and…...
Scaling Industrial Intelligence: Architectural Patterns from a Machine Learning Development Company
5+ day, 19+ 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
1+ week, 2+ day 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
1+ week, 3+ day 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
1+ week, 3+ day 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
1+ week, 3+ day 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,…...