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.
Home Table of Contents KV Cache Optimization via Multi-Head Latent Attention Recap of KV Cache The Need for KV Cache Optimization Multi-Head Latent Attention (MLA) Low-Rank KV Projection Up-Projection Decoupled Rotary Position Embeddings (RoPE) RoPE in Standard MHA Challenges in MLA: The Need for Decoupling PyTorch Implementation of Multi-Head Latent Attention Multi-Head Latent Attention Toy Transformer and Inference Experiments and Analysis Summary Citation Information KV Cache Optimization via Multi-Head Latent Attention Transformer-based language models have long relied on […]
Celtic languages — including Cornish, Irish, Scottish Gaelic and Welsh — are the U.K.’s oldest living languages. To empower their speakers, the UK-LLM sovereign AI initiative is building an AI model based on NVIDIA Nemotron that can reason in both English and Welsh, a language spoken by about 850,000 people in Wales today. Enabling high-quality AI reasoning in Welsh will support the delivery of public services including healthcare, education and legal resources in the language. “I want every […]
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Dimensionality reduction techniques like PCA work wonderfully when datasets are linearly separable—but they break down the moment nonlinear patterns appear. That’s exactly what happens with datasets such as two moons: PCA flattens the structure and mixes the classes together. Kernel PCA fixes this limitation by mapping the data into a higher-dimensional feature space where nonlinear patterns become linearly separable. In this article, we’ll walk through how Kernel PCA works and use a simple example to visually compare PCA […]
OpenAI is investing in stronger safeguards and defensive capabilities as AI models become more powerful in cybersecurity. We explain how we assess risk, limit misuse, and work with the security community to strengthen cyber resilience.
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.
Seriously, y’all are getting way too caught up in your feelings about this debate. submitted by /u/Bigger_Sherma [link] [comments]
In the past, users had to upload a full-body picture of themselves to virtually try on a piece of clothing. Now, they can use a selfie and Nano Banana will generate a full body digital version of them.
From idea to impact : using AI as your accelerating copilot The post How to Develop AI-Powered Solutions, Accelerated by AI appeared first on Towards Data Science.