From 426e146dc7b94ff828bc69c6d8f3b8cc0c2eccd7 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=D0=93=D0=BB=D0=B5=D0=B1=20=D0=9D=D0=B8=D0=BA=D0=B8=D1=88?=
 =?UTF-8?q?=D0=B8=D0=BD?= <glevelll@yandex.ru>
Date: Fri, 5 Jun 2026 14:21:34 +0000
Subject: [PATCH] Add lecture2.md

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+# Lecture 2: Word Embeddings
+
+We discuss word embeddings such as Word2Vec, GloVe, and fastText, and how they capture semantic relationships between words.