The natural language creation field is completely transformed by large language models (LLMs). Traditional fine-tuning approaches for responding to downstream tasks require access to the parameters of LLMs, which limits their use on potent black-box LLMs...
The GPT model, which is the transformer architecture behind the well famous chatbot developed by OpenAI called ChatGPT, works on the concept of learning tasks with the help of only a few examples. This approach, called...
Materials processing is the process of turning raw materials into final items through a sequence of phases or "unit operations." The activities entail a...
With recent developments in machine learning models and their impressive performance in speech recognition tasks, human-computer interaction is becoming increasingly reliant on speech communication....
DNA damage is constantly occurring in cells, either due to external sources or as a result of internal cellular metabolic reactions and physiological activities....
Developing artificial intelligence applications is a time-consuming process that takes years to complete. Data scientists, engineers, domain specialists, and many experts must be involved...
In recent years, voice-based virtual assistants such as Google Assistant and Amazon Alexa have grown popular. This has presented both potential and challenges for...
Visual tracking involves estimating the trajectory of an object in a video series, which is one of the fundamental challenges in computer vision. With...
Human conversation is dynamic, with many exceptions and unexpected ways to express oneself. In recent years, significant progress has been made to help machine...
Reinforcement Learning (RL) is a robust AI paradigm for handling various issues, including autonomous vehicle control, digital assistants, and resource allocation, to mention a...
One of the most important approaches in recommender systems and graph analysis is matrix factorization. Alternating least squares (ALS) is a basic approach for...
GPT-3 is the advanced natural language processing model developed by OpenAI. It returns a natural language text completion in response to any text request,...
Deep learning technologies, such as automatic learning of temporal dependence and automated handling of temporal structures like trends and seasonality, hold a lot of...
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