A Gentle Introduction to Attention Masking in Transformer Models
This post is divided into four parts; they are: • Why Attention Masking is Needed • Implementation of Attention Masks • Mask Creation • Using PyTorch's Built-in Attention In the
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This post is divided into four parts; they are: • Why Attention Masking is Needed • Implementation of Attention Masks • Mask Creation • Using PyTorch's Built-in Attention In the
Explore the latest Gemini 2.5 model updates with enhanced performance and accuracy: Gemini 2.5 Pro now stable, Flash generally available, and the new Flash-Lite in preview.
If you've been using large language models like GPT-4 or Claude, you've probably wondered how they can write actually usable code, explain complex topics, or even help you debug your morning...
WWDC 2025 上,苹果公布了设备端的 Foundation Models 框架,可以让开发者们使用离线模型完成一些基本的 AI 任务。虽然各个 session 已经详细介绍了基本用法,但作为开发者,我们更关心的往往是:这个框架的边界在哪里?什么情况下会出现问题?实际性能如何? 经过近一周的测试和探索,我有了一些有趣的发现。这些发现可能对你在实际项目中使用 Foundation...
苹果在WWDC 2025上推出了Foundation Models框架,支持开发者使用离线模型进行AI任务。测试显示框架稳定,但存在内存消耗、上下文窗口限制(4096 tokens)和并发性能下降等问题。开发者应围绕这些限制设计应用,并优先考虑Tool Calling功能。总体而言,Foundation Models为iOS应用提供了强大的AI能力,但需理解其局限性。
This post is divided into five parts; they are: • Understanding Positional Encodings • Sinusoidal Positional Encodings • Learned Positional Encodings • Rotary Positional Encodings (RoPE) •...
We introduce a set of training-free ABX-style discrimination tasks to evaluate how multilingual language models represent language identity (form) and semantic content (meaning). Inspired from...