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Artificial Intelligence

A Comparative Analysis of OpenAI and Vertex AI: Two Dominant AI Entities in 2024

OpenAI and Vertex AI are two of the most influential platforms in the AI domain as of 2024. OpenAI, renowned for its revolutionary GPT AI models, impresses with advanced natural language processing and generative AI tasks. Its products including GPT-4, DALL-E, and Whisper address a range of domains from creative writing to customer service automation.…

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Researchers from Google’s DeepMind and Anthropic have presented a new method known as Equal-Info Windows. It’s a revolutionary AI technique for optimally training Large Language Models using condensed text.

Traditional training methods for Large Language Models (LLMs) have been limited by the constraints of subword tokenization, a process that requires significant computational resources and hence drives up costs. These limitations result in a ceiling on scalability and a restriction on working with large datasets. Accountability for these challenges with subword tokenization lies in finding…

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Scientists from KAUST and Harvard have developed MiniGPT4-Video: A new Multimodal Large Language Model (LLM) tailored primarily for video comprehension.

In the fast-paced digital world, the integration of visual and textual data for advanced video comprehension has emerged as a key area of study. Large Language Models (LLMs) play a vital role in processing and generating text, revolutionizing the way we engage with digital content. But, traditionally, these models are designed to be text-centric, and…

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MeetKai Introduces Functionary-V2.4: A Substitute for OpenAI Function Invocation Models

MeetKai, a leading artificial intelligence (AI) company, has launched Functionary-small-v2.4 and Functionary-medium-v2.4, new deep learning models that offer significant improvements in the field of Large Language Models (LLMs). These advanced versions showcase the company's focus on enhancing the practical application of AI and open-source models. Designed for boosting real-world applications and utility, Functionary 2.4 sets itself…

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Introducing Sailor: A group of unrestricted language models spanning from 0.5B to 7B parameters designed for Southeast Asian (SEA) languages.

Large Language Models (LLMs) have gained immense technological prowess over the recent years, thanks largely to the exponential growth of data on the internet and ongoing advancements in pre-training methods. Despite their progress, LLMs' dependency on English datasets limits their performance in other languages. This challenge, known as the "curse of multilingualism," suggests that models…

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The team from MIT publishes research reports on the management of AI.

A committee of leaders and scholars from MIT has developed a policy framework for the governance of artificial intelligence (AI) in the United States. The aim of these policy briefs is to enhance U.S. leadership in AI and limit the potential harm from new technologies while promoting awareness of the societal benefits of AI deployment. The…

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A computer scientist is expanding the limits of geometry.

Mathematician Justin Solomon is using modern geometric techniques to solve complex problems, often unrelated to shapes. He explains that geometric tools can be used to compare datasets, providing insight into the performance of machine-learning models. He asserted the significance of distance, similarity, curvature, and shape, all derived from geometry, in discussing data. His Geometric Data…

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Narrowing the disconnect between design and production in the field of optical devices.

Photolithography is an important process in the manufacture of computer chips and optical devices like lenses, using light to carve precise features onto a surface. However, minor deviations during the manufacturing process can lead to these devices underperforming when compared to the original designs. To address this issue, researchers from MIT and the Chinese University…

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Deep neural networks demonstrate potential as frameworks for understanding human auditory perception.

An MIT study has taken a significant step towards the development of computational models capable of mimicking the structure and function of the human auditory system. The models could have applications in the production of improved hearing aids, cochlear implants, and brain-machine interfaces. The researchers discovered that modern machine learning-derived computational models are progressing towards…

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Obtaining hydrogen from stones.

Hydrogen, one of the most abundant elements in the Universe, mainly exists alongside other elements. However, the discovery of naturally occurring underground pockets of pure hydrogen is increasingly attracting attention as an unlimited source of carbon-free energy. In fact, the US Department of Energy recently awarded $20 million in research grants to 18 teams to…

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Leading AI Resources for Developing Your Extensive Language Model (LLM) Applications

Developers and data scientists who use Large Language Models (LLMs) such as GPT-4 to leverage their AI capabilities often need tools to help navigate the complex processes involved. A selection of these crucial tools are highlighted here. Hugging Face extends beyond its AI platform to offer a comprehensive ecosystem for hosting AI models, sharing datasets,…

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