From 66cd45093293a6df8d922ffb377cdc4dbe7ebb56 Mon Sep 17 00:00:00 2001 From: Lee Stott Date: Fri, 3 Oct 2025 08:14:34 +0100 Subject: [PATCH] Update README.md fix issue #532 --- lessons/1-Intro/README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/lessons/1-Intro/README.md b/lessons/1-Intro/README.md index 4816e49a..81accc4f 100644 --- a/lessons/1-Intro/README.md +++ b/lessons/1-Intro/README.md @@ -112,7 +112,7 @@ Similarly, we can see how the approach towards creating “talking programs” ( * Early programs of this kind such as [Eliza](https://en.wikipedia.org/wiki/ELIZA), were based on very simple grammatical rules and the re-formulation of the input sentence into a question. * Modern assistants, such as Cortana, Siri or Google Assistant are all hybrid systems that use Neural networks to convert speech into text and recognize our intent, and then employ some reasoning or explicit algorithms to perform required actions. -* In the future, we may expect a complete neural-based model to handle dialogue by itself. The recent GPT and [Turing-NLG](https://turing.microsoft.com/) family of neural networks show great success in this. +* In the future, we may expect a complete neural-based model to handle dialogue by itself. The recent GPT and [Turing-NLG](https://www.microsoft.com/research/blog/turing-nlg-a-17-billion-parameter-language-model-by-microsoft) family of neural networks show great success in this. the Turing test's evolution