The robotics field has historically vacillated between two primary architectural paradigms: modular hierarchical policies and end-to-end policies. Modular hierarchies employ rigid layers such as symbolic planning, trajectory generation, and tracking, while end-to-end policies utilize high-capacity neural networks to map sensory input directly to actions. The emergence of large language models (LLMs) has renewed interest in…
In medical technology, developing and utilizing large language models (LLMs) are increasingly pivotal. These advanced models can digest and interpret vast quantities of medical texts, offering insights that traditionally require extensive human expertise. The evolution of these technologies holds the potential to lower healthcare costs significantly and expand access to medical knowledge across various demographics.…
The advent of Generative Pre-trained Transformers (GPT) has revolutionized the gaming industry, enhancing game development and gameplay experiences. Let’s study a comprehensive review that synthesizes findings from 55 research articles published between 2020 and 2023, along with research from other research papers, detailing the applications, challenges, and future potentials of GPT in gaming. It highlights…
The capacity of large language models (LLMs) to produce adequate text in various application domains has caused a revolution in natural language creation. These models are essentially two types: 1) Most model weights and data sources are open source. 2) All model-related information is publicly available, including training data, data sampling ratios, training logs, intermediate…
Grammarly Grammarly is a great tool for enhancing writing. It reviews grammar, spelling, punctuation, and style to ensure clear and professional content. Jasper Jasper AI is one of the most popular AI writing tools that makes it easy to create content for websites, blogs, social media, etc. ChatGPT ChatGPT is a robust language generation model…
Generative AI, despite its impressive capabilities, needs to improve with slow inference speed in its real-world applications. The inference speed is how long it takes for the model to produce an output after giving a prompt or input. Generative AI models, unlike their analytical counterparts, require complex calculations to generate creative text, images, or other…
With the significant advancement in the fields of Artificial Intelligence (AI) and Natural Language Processing (NLP), Large Language Models (LLMs) like GPT have gained attention for producing fluent text without explicitly built grammar or semantic modules. Even though these models show impressive language generating capabilities, linguistic insights are still necessary for NLP. In a recent…
When it comes to web searches, the challenge is not just about finding information but finding the most relevant information quickly. Web users and researchers need ways to sift through vast amounts of data efficiently. The need for more effective search technologies is constantly growing as online information expands. Several solutions are currently available to…
In today’s competitive digital market, ranking high in search engine results is critical for increasing organic traffic and establishing an online presence. However, developing a successful SEO strategy may be a hard and time-consuming effort. This is where AI SEO tools come in. They use artificial intelligence to automate your SEO workflow and optimize your…
Graph Neural Networks (GNNs) are crucial in processing data from domains such as e-commerce and social networks because they manage complex structures. Traditionally, GNNs operate on data that fits within a system’s main memory. However, with the growing scale of graph data, many networks now require methods to handle datasets that exceed memory limits, introducing…