In this article, I propose 6 trends and predictions for the market evolution in 2022. — The digital transition is accelerating rapidly due to new personal and professional lifestyles brought about by the current pandemic situation. Conversational assistants are part of this transformation by enabling the automation of support and self-service requests. The need for business-process automation continues to grow, driven by the health situation, which unfortunately is likely to continue for a few more months if not years. The year 2020 was a year of questioning, the year 2021 was a year of transition between a before and an after. …

With the emergence of ChatGPT, the world of conversational assistance solutions has undergone a seismic shift. This article looks at the remarkable capabilities of these solutions and the profound impact they have on meeting user needs. You’ll discover the future of conversational assistance solutions, a landscape where innovation knows no bounds but is tempered by the critical need for responsible, professional implementation.

LLMs are capable of performing a wide range of NLP tasks, such as named entity recognition. In this study, I tested an open-source library capable of calling several commercial and open-source models. The final results are mixed… — Thanks to their size, large language models (LLMs) have acquired formidable language processing skills. With little or no examples, they are able to perform language processing operations such as classification, sentiment analysis, concept extraction, named entity recognition, translation, and more.

Step into a world of wonder and amazement as we unravel the captivating tale of artificial intelligence’s incredible journey. From the birth of the first neural network in the 1950s to the rise of powerful language models like GPT, join us on a thrilling ride through the evolution of AI. — Once upon a time, in our galaxy’s not-so-distant past, the concept of artificial intelligence (AI) was emerging in the minds of brilliant scientists and visionaries. Back in the 1950s, the birth of baby AI was marked by the development of the first neural network model created by psychologist Frank Rosenblatt…

Large Language Models (LLMs) for code have recently shown great promise for synthesizing code from natural language descriptions and/or early source code. Let us see how they work! — Code generation using generative AI is an important new area used to predict code or program structure from incomplete data sources, programs written in another programming language, natural language descriptions, or execution logs.

GPT-4 was released 2 months ago, and it has pushed the boundaries of what is possible, but it is still more than a black box. Let us try to find out what is inside. — This post is mainly a summary, exploration, and interpretation of the GPT-4 Technical Report published on March 15, 2023, by Adrien Ecoffet, a research scientist at OpenAI and … a French guy! The Fourth Generation Generative Model In the continuity of the previous launches, OpenAI Inc. has just put into production its “long-awaited” new fourth-generation…

If you haven’t heard about ChatGPT, MidJourney, or Stable Diffusion in the last few months, it’s because you were away in a monastery or in a country without the Internet. Let’s find out what’s behind these new models. — A novel approach to Artificial Intelligence called Generative AI has revolutionized content creation in various industries in recent years, and, during the last few months, making it important to understand how it works and what it can do for us. …

We are facing a major disruption of our NLP landscape with the emergence of large language models that surpass the current performance and enable activities without specific training. — Introduction We are facing a major disruption in the natural language landscape with the emergence of large language models (LLMs) with unmatched performance and capabilities to perform activities for which they were not trained. Language models have been used for many years in NLP tasks (e.g., BERT), but the increasing size…

Artificial intelligence is changing the game in many industries and now in automation tools. — Introduction Companies can no longer ignore the digital transformation of their competitors and customers. This digitalization implies being the master of one’s own processes and their state of optimization. …