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Deep Learning Cost Efficiency Large Language Models Fine-Tuning Techniques Data Processing Fine-tuning Techniques Performance Evaluation Fine-tuning Parameter-Efficient Fine-Tuning Parameter Optimization

New Guidance Reframes Production RAG: Fix Retrieval, Not the LLM

Practitioners spotlight indexing, chunking, routing, evaluation as the levers that raise reliability in real deployments.

Tether’s QVAC Fabric Brings BitNet LoRA Fine-Tuning to Phones and Consumer GPUs

CoreWeave Shares Jump on PhysicsX Partnership and Flexible Cloud Pricing Launch

Amazon, Alphabet, Microsoft, Meta and Oracle Set 2026 AI Capex Above $700 Billion

SpaceX Begins Hiring for Orbital Data Centers as Musk Pitches Space‑Based AI in 30–36 Months

Microsoft Releases Scanner to Detect Backdoored Open-Weight LLMs

Microsoft Rolls Out Maia 200, In‑House AI Accelerator Now Running in Azure Iowa

AMD Climbs as AI Bets Build, Even With Nvidia Set to Lead Data Centers

Nvidia Puts Rubin AI Platform Into Full Production, Open-Sources Alpamayo for Autonomous Vehicles

DeepSeek Publishes mHC to Stabilize Wider Residual Streams in LLMs

OpenAI Tests 'Confession' Channel to Get AI Models to Admit Misbehavior

OpenAI to Acquire Neptune, Bringing Model‑Training Observability In‑House

AWS Launches Trainium3 to Challenge Nvidia's Grip on AI Training

Zyphra Trains ZAYA1 MoE on AMD Instinct MI300X in IBM Cloud

Two New RAG Preprints Propose Theme-Aligned Hypergraphs and Hierarchical Agents

Nebius Draws Bullish Calls on Hyperscaler Deals as Capacity Limits Slow Revenue

OpenAI Tests ChatGPT Group Chats in Four Countries, Powered by GPT-5.1

Microsoft Will Fold OpenAI Chip Designs Into Its Own Silicon Through 2030

NVIDIA Sweeps MLPerf Training v5.1 With Blackwell Ultra, Sets 10‑Minute Llama 405B Record

Inception Raises $50 Million to Scale Diffusion LLMs for Code and Text