This article is divided into two parts; they are: • Fine-tuning a BERT Model for GLUE Tasks • Fine-tuning a BERT Model for SQuAD Tasks GLUE is a benchmark for evaluating natural language understanding (NLU) tasks.
Author(s): AIversity Originally published on Towards AI. Your weekly AI roundup: Big funding, new models, AWS agent launches, Tesla’s AI5 chip, EU AI Act updates, and what it means for builders and businesses. Keep reading for links, benchmarks, and takeaway This article is 100% free to read! Non-members can read for free by clicking “MY FRIEND LINK” here! Image by AuthorThis article discusses the significant developments in the AI space from the past week, highlighting major funding events, […]
American Sign Language is the third most prevalent language in the United States — but there are vastly fewer AI tools developed with ASL data than data representing the country’s most common languages, English and Spanish. NVIDIA, the American Society for Deaf Children and creative agency Hello Monday are helping close this gap with Signs, an interactive web platform built to support ASL learning and the development of accessible AI applications. Sign language learners can access the platform’s […]
As AI systems begin handling more complex, multi-stage tasks, understanding agentic design is becoming essential. This article outlines seven practical steps to build reliable, effective AI agents.
Based on insights from more than 100 builders, executives, investors, advisors, and researchers from across the globe.
OpenAI is launching OpenAI for Australia to build sovereign AI infrastructure, upskill more than 1.5 million workers, and accelerate innovation across the country’s growing AI ecosystem.
Announcing: 𝗪𝗪-𝗣𝗚𝗗 — 𝗪𝗲𝗶𝗴𝗵𝘁𝗪𝗮𝘁𝗰𝗵𝗲𝗿 𝗣𝗿𝗼𝗷𝗲𝗰𝘁𝗲𝗱 𝗚𝗿𝗮𝗱𝗶𝗲𝗻𝘁 𝗗𝗲𝘀𝗰𝗲𝗻𝘁 I just released WW-PGD, a small PyTorch add-on that wraps standard optimizers (SGD, Adam, AdamW, etc.) and applies an epoch-boundary spectral projection using WeightWatcher diagnostics. Elevator pitch: WW-PGD explicitly nudges each layer toward the Exact Renormalization Group (ERG) critical manifold during training. 𝗧𝗵𝗲𝗼𝗿𝘆 𝗶𝗻 𝘀𝗵𝗼𝗿𝘁 • HTSR critical condition: α ≈ 2 • SETOL ERG condition: trace-log(λ) over the spectral tail = 0 WW-PGD makes these explicit optimization targets, rather than […]
A pregnant woman in San Francisco gave birth inside a Waymo robotaxi Monday night en route to UCSF Medical Center, marking the latest milestone in the driverless car saga that no one saw coming — except everyone with more than six months of experience behind the wheel of a ride-share vehicle.
This one little trick can bring about enhanced training stability, the use of larger learning rates and improved scaling properties The post NeurIPS 2025 Best Paper Review: Qwen’s Systematic Exploration of Attention Gating appeared first on Towards Data Science.