Post by account_disabled on Mar 9, 2024 2:18:06 GMT -5
Cyclically, the same scene recurs: a new and more advanced deep learning model is presented and we convince ourselves that we are facing, or very close to, the advent of true artificial intelligence. And this is even more true if the algorithm in question is capable of using language , which is the most distinctive characteristic of human beings and which we therefore most associate with understanding the world and intelligence. Only in recent years, this situation occurred for the first time in 2018, when Google CEO Sundar Pichai showed an astonished audience how the artificial intelligence software known as Duplex was able to call a hairdresser to book an appointment without the person on the other end realizing they were dealing with a robot. “Has the Turing Test been passed?” , we asked ourselves at the time.
Have we officially entered the age of intelligent machines? In June 2022 it Germany Phone Number was then the turn of the artificial intelligence system LaMDA and Google engineer Blake Lemoine, who after having long conversations with this chatbot was convinced that LaMDA had become sentient. Lastly, there was obviously the case of ChatGPT, the chatbot (i.e. a system with which to communicate via text) created by OpenAI on the basis of GPT-3: a colossal deep learning system equipped with over 200 billion parameters ( which we could roughly consider the digital equivalent of our neurons) and trained with over 800 gigabytes of information, including the entire English-language Wikipedia.
In this article we will see in particular: ChatGPT and GPT-4: progress or return? Current limitations of deep learning algorithms Gato and his artificial intelligence Can we get to general artificial intelligences? The reason for the current failure of autonomous driving Deep learning: more quality and less quantity Is deep learning reaching its limits? - Adv Media Lab Sign up to our newsletter Join the over 10,000 subscribers who read our newsletter to delve deeper into issues related to 360-degree digital transformation. SUBSCRIBE ChatGPT and GPT-4: progress or return? ChatGPT's ability to bring texts of all types to life by responding to our simple commands (for example, you can ask it to create a Shakespearean-style poem with a touch of irony or to produce a scientific paper on any theme) has generated a lot of attention , ensuring that it was treated as if it were an absolute novelty.
Have we officially entered the age of intelligent machines? In June 2022 it Germany Phone Number was then the turn of the artificial intelligence system LaMDA and Google engineer Blake Lemoine, who after having long conversations with this chatbot was convinced that LaMDA had become sentient. Lastly, there was obviously the case of ChatGPT, the chatbot (i.e. a system with which to communicate via text) created by OpenAI on the basis of GPT-3: a colossal deep learning system equipped with over 200 billion parameters ( which we could roughly consider the digital equivalent of our neurons) and trained with over 800 gigabytes of information, including the entire English-language Wikipedia.
In this article we will see in particular: ChatGPT and GPT-4: progress or return? Current limitations of deep learning algorithms Gato and his artificial intelligence Can we get to general artificial intelligences? The reason for the current failure of autonomous driving Deep learning: more quality and less quantity Is deep learning reaching its limits? - Adv Media Lab Sign up to our newsletter Join the over 10,000 subscribers who read our newsletter to delve deeper into issues related to 360-degree digital transformation. SUBSCRIBE ChatGPT and GPT-4: progress or return? ChatGPT's ability to bring texts of all types to life by responding to our simple commands (for example, you can ask it to create a Shakespearean-style poem with a touch of irony or to produce a scientific paper on any theme) has generated a lot of attention , ensuring that it was treated as if it were an absolute novelty.