Auto-update of schedule

pyconau · Nov 20, 2024 · 0097b0b · 0097b0b
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Showing 4 changed files with 14 additions and 8 deletions.
diff --git a/public/people/EQJWS9.jpg b/public/people/EQJWS9.jpg
diff --git a/src/content/_people_etags.yml b/src/content/_people_etags.yml
@@ -65,3 +65,4 @@ JYUNEP: '"ruda514pdt"'
 GJMDU8: '"sn6a04bck"'
 GSGFY3: '"sn6b20ogli"'
 VJPZ7L: '"sn82qsknk"'
+EQJWS9: '"sn8ag7lfi"'
diff --git a/src/content/people/EQJWS9.yml b/src/content/people/EQJWS9.yml
@@ -2,5 +2,10 @@ name: Kai Striega
 pronouns:
 twitter:
 fedi:
-bio: ''
-has_pic: false
+bio: <p>Kai Striega is a Melbourne-based software developer, data engineer, passionate
+  advocate for Free and Open Source Software (FOSS) and pythonista. With a strong
+  foundation in mathematics and years of experience in designing scalable systems,
+  Kai brings technical precision and creative problem-solving to the forefront of
+  their work. Kai enjoys pushing Python to the language's limits and volunteers as
+  a maintainer of SciPy in addition to the larger scientific Python ecosystem.</p>
+has_pic: true
diff --git a/src/content/sessions/Q78MDT.yml b/src/content/sessions/Q78MDT.yml
@@ -18,12 +18,12 @@ description: "<p>Artificial Intelligence, Large Language Models, and Machine Lea
   information and the numerical language of computers. They allow us to represent
   complex data - whether it's text, images, or even abstract concepts - as dense vectors
   of numbers. In this presentation, we'll demystify embeddings and give you a practical
-  and intuitive understanding of how they work.</p>\n<p>We'll dive into:&lt;br /&gt;\n
-  1. What are embeddings and how they enable machines to process and understand human
-  language\n2. How you can create your own embeddings or utilise existing embedding
-  models to encode language in Python\n3. Applications for embeddings</p>\n<p>By the
-  end, you'll have a solid grasp of this fundamental AI concept and be equipped to
-  start experimenting with embeddings in your own projects.</p>"
+  and intuitive understanding of how they work.</p>\n<p>We'll dive into:\n1. What
+  are embeddings and how they enable machines to process and understand human language\n
+  2. How you can create your own embeddings or utilise existing embedding models to
+  encode language in Python\n3. Applications for embeddings</p>\n<p>By the end, you'll
+  have a solid grasp of this fundamental AI concept and be equipped to start experimenting
+  with embeddings in your own projects.</p>"
 code: Q78MDT
 speakers:
 - 7D78ZU