Add self-learning chatbots presentation
This commit is contained in:
parent
2002912b0f
commit
7a4dd56e1d
6 changed files with 126 additions and 2 deletions
29
posts/self-learning-chatbots-destygo.org
Normal file
29
posts/self-learning-chatbots-destygo.org
Normal file
|
@ -0,0 +1,29 @@
|
|||
---
|
||||
title: "Destygo: Towards Self-Learning Chatbots"
|
||||
date: 2019-04-06
|
||||
---
|
||||
|
||||
Last week I made a presentation at the
|
||||
[[https://www.meetup.com/Paris-NLP/][Paris NLP Meetup]], on how we
|
||||
implemented self-learning chatbots in production at Destygo.
|
||||
|
||||
It was fascinating to other people interested in NLP about the
|
||||
technologies and models we deploy at work! It's always nice to have
|
||||
some feedback about our work, and preparing this talk forced me to
|
||||
take a step back about what we do and rethink it in new interesting
|
||||
ways.
|
||||
|
||||
Also check out the
|
||||
[[https://nlpparis.wordpress.com/2019/03/29/paris-nlp-season-3-meetup-4-at-meilleursagents/][other
|
||||
presentations]], one about diachronic (i.e. time-dependent) word
|
||||
embeddings and the other about the different models and the use of
|
||||
Knowledge Bases for Information Retrieval. (This might even give us
|
||||
new ideas to explore...)
|
||||
|
||||
If you're interested about exciting applications at the confluence of
|
||||
Reinforcement Learning and NLP, the slides are available
|
||||
[[https://drive.google.com/file/d/1aS1NpPxRzsQCsAqoQIVZrdf8R1Y2VKrT/view][here]]. It
|
||||
includes basic RL theory, how we transposed it to the specific case of
|
||||
conversational agents, the technical and mathematical challenges in
|
||||
implementing self-learning chatbots, and of course plenty of
|
||||
references for further reading if we piqued your interest!
|
Loading…
Add table
Add a link
Reference in a new issue