OcciGlot, a revolutionary language model introduced by a group of European researchers, aims to address the need for inclusive language modeling solutions that embody European values of linguistic diversity and cultural richness. By focusing on these values, the model intends to maintain Europe's competitive edge in academics and economics and ensure AI sovereignty and digital…
Large Language Models (LLMs), trained on extensive text data, have displayed unprecedented capabilities in various tasks such as marketing, reading comprehension, and medical analysis. These tasks are usually carried out through next-token prediction and fine-tuning. However, the discernment between deep understanding and shallow memorization among these models remains a challenge. It is essential to assess…
The technology industry has been heavily focused on the development and enhancement of machine decision-making capabilities, especially with large language models (LLMs). Traditionally, decision-making in machines was improved through reinforcement learning (RL), a process of learning from trial and error to make optimal decisions in different environments. However, the conventional RL methodologies tend to concentrate…
The implementation of APIs into Large Language Models (LLMs) is a major step towards complex, functional AI systems like hotel reservations or job applications through conversational interfaces. However, the development of these systems relies heavily on the LLM's ability to accurately identify APIs, fill the necessary parameters, and sequence API calls based on the user's…
Reinforcement Learning (RL) is a crucial tool for machine learning, enabling machines to tackle a variety of tasks, from strategic gameplay to autonomous driving. One key challenge within this field is the development of algorithms that can learn effectively and efficiently from limited interactions with the environment, with an emphasis on high sample efficiency, or…
The constant progression of natural language processing (NLP) has brought about an era of advanced, large language models (LLMs) that can accomplish complex tasks with a considerably high level of accuracy. However, these models are costly in terms of computational requirements and memory, limiting their application in environments with finite resources. Model quantization is a…
In recent years, large language models such as LLaMA, largely based on transformer architectures, have significantly influenced the field of natural language processing. This raises the question of whether the transformer architecture can be applied effectively to process 2D images. In response, a paper introduces VisionLLaMA, a vision transformer that seeks to bridge language and…
Researchers at MIT have developed an image dataset that simulates peripheral vision for use in training machine learning (ML) models, an area where artificial intelligence (AI) notably diverges from human ability. Humans leverage less-detailed peripheral vision to detect shapes and items outside their direct line of sight, an ability AI lacks. Incorporating aspects of peripheral…
The influencer marketing industry, valued at $16.4 billion in 2022, is anticipated to witness exponential growth in the coming decade as per the annual benchmarking report by Influencer Marketing Hub. Influencer marketing has become an essential component of marketing strategy for organizations.
Influencer marketing leverages the popularity and reach of personalities, often on social media, to…
Automation and AI researchers have long grappled with dexterity in robotic manipulation, particularly in tasks requiring a high degree of skill. Traditional imitation learning methods have been hindered by the need for extensive human demonstration data, especially in tasks that require dexterous manipulation.
The paper referenced in this article presents a novel framework, CyberDemo, which relies…
The development of Large Language Models (LLMs) such as GPT and LLaMA has significantly revolutionized natural language processing (NLP). They have found use in a broad range of functions, causing a growing demand for custom LLMs amongst individuals and corporations. However, the development of these LLMs is resource-intensive, posing a significant challenge for potential users.
To…
The intersection of artificial intelligence (AI) and music has become an essential field of study, with Large Language Models (LLMs) playing a significant role in generating sequences. Skywork AI PTE. LTD. and Hong Kong University of Science and Technology have developed ChatMusician, a text-based LLM, to tackle the issue of understanding and generating music.
ChatMusician shows…