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ZanSara · Dec 15, 2023 · 8fb75ab · 8fb75ab
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diff --git a/content/talks/2022-12-01-open-nlp-meetup.md b/content/talks/2022-12-01-open-nlp-meetup.md
@@ -37,3 +37,5 @@ The talk consists of 5 parts:
 Towards the end I mention briefly an even more advanced version of this image retrieval system, which I had no time to implement live. However, I later built a notebook implementing such system and you can find it here: [Cheetah.ipynb](https://gist.github.com/ZanSara/31ed3fc8252bb74b1952f2d0fe253ed0)
 
 The slides were generated from the linked Jupyter notebook with `jupyter nbconvert Dec_1st_OpenNLP_Meetup.ipynb --to slides --post serve`.
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+This was my most popular talk to date, with almost a hundred attendees watching live.
diff --git a/content/talks/2023-12-15-datahour-rag.md b/content/talks/2023-12-15-datahour-rag.md
@@ -14,4 +14,6 @@ In this hour-long workshop organized by [Analytics Vidhya](https://www.analytics
 
 After a brief introduction to Haystack, I show in practice how to use Haystack 2.0 to assemble a Pipeline that performs RAG on a local database and then on the Web with a simple change. 
 
-I also mention how to use and implement custom Haystack components, and share a lot of resources on the topic of RAG and Haystack 2.0.
+I also mention how to use and implement custom Haystack components, and share a lot of resources on the topic of RAG and Haystack 2.0.
+
+This was my most popular talk to date, with over a hundred attendees watching live and several questions.
Original file line number	Diff line number	Diff line change
Expand Up		@@ -37,3 +37,5 @@ The talk consists of 5 parts:
		Towards the end I mention briefly an even more advanced version of this image retrieval system, which I had no time to implement live. However, I later built a notebook implementing such system and you can find it here: [Cheetah.ipynb](https://gist.github.com/ZanSara/31ed3fc8252bb74b1952f2d0fe253ed0)

		The slides were generated from the linked Jupyter notebook with `jupyter nbconvert Dec_1st_OpenNLP_Meetup.ipynb --to slides --post serve`.

		This was my most popular talk to date, with almost a hundred attendees watching live.