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Cleanlab presents the Reliable Language Model (TLM), a solution aimed at resolving the main obstacle to businesses adopting LLMs, which is their erratic outputs and hallucinations.

A recent Gartner poll highlighted that while 55% of organizations experiment with generative AI, only 10% have implemented it in production. The main barrier in transitioning to production is the erroneous outputs or 'hallucinations' produced by large language models (LLMs). These inaccuracies can create significant issues, particularly in applications that need accurate results, such as…

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DeepMind’s AI Research Paper Presents Gecko: Establishing New Benchmarks in Evaluating Text-to-Image Models

Text-to-image (T2I) models, which transform written descriptions into visual images, are pushing boundaries in the field of computer vision. The principal challenge lies in the model's capability to accurately represent the fine-detail specified in the corresponding text, and despite generally high visual quality, there often exists a significant disparity between the intended description and the…

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Apple’s AI study presents a pre-training technique for visual models that is weakly-supervised and uses publicly accessible large-scale image-text data from the internet.

Contrastive learning has emerged as a powerful tool for training models in recent times. It is used to learn efficient visual representations by aligning image and text embeddings. However, a tricky aspect of contrastive learning is the extensive computation required for pairwise similarity between image and text pairs, particularly when working with large-scale datasets. This issue…

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A versatile approach to assist animators in enhancing their animation skills.

A team from the Massachusetts Institute of Technology (MIT) has created a technique that allows animators to have a more significant scale of control over their works. The researchers have developed a method that produces mathematical functions known as "barycentric coordinates," which indicate how 2D and 3D shapes can move, stretch, and contour in space.…

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MIT researchers have utilized artificial intelligence to discover a new category of potential antibiotics.

MIT researchers, using deep learning techniques, have discovered compounds that can effectively combat methicillin-resistant Staphylococcus aureus (MRSA). This drug-resistant bacterium annually leads to over 10,000 deaths in the United States alone. Detailed in a study published in Nature, the compounds not only successfully killed MRSA in laboratory and mice model tests, but also showed significantly…

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Review of MIT’s Media Highlights in 2023

In 2023, the Massachusetts Institute of Technology (MIT) saw numerous breakthroughs as well as several key events. Major happenings included the inauguration of President Sally Kornbluth, a commencement address by Mark Rober, and Professor Moungi Bawendi earning the Nobel Prize in Chemistry. Research advancements ranged from the study of a dying star consuming a planet to…

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Unfamiliar and complex sentences increase the workload on the brain’s language processing system.

Using an artificial language network, MIT neuroscientists have found that sentences with unusual grammar or unexpected meanings tend to strongly activate the brain's key language processing centers. In contrast, straightforward sentences cause only minimal engagement of these regions, as do nonsensical sequences of words. The researchers discovered this by analyzing how human participants' brain network…

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Best Beginner’s Courses in Artificial Intelligence (AI) for 2024

The rising interest in AI in recent years has inspired many to seek knowledge and skills in this domain. This article discusses some beginner-friendly AI courses for those aiming to shift their careers or enhance their abilities. Firstly, “Google AI for Anyone” is designed for beginners, introducing AI and its real-world applications like recommender systems…

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Introducing Openlayer: An AI Assessment Tool that Seamlessly Integrates into Development and Production Processes to Support the Delivery of Top-notch Models with Assurance.

Artificial Intelligence (AI) has become an increasingly prevalent part of our daily lives, but ensuring these models are accurate and reliable remains a complex task. Traditional AI evaluation methods can be time-consuming, requiring substantial manual setup, with no specific framework or guidelines for working on models. This has led to engineers having to manually inspect…

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This AI research unveiled by Google DeepMind presents improved learning abilities through the usage of Many-Shot In-Context Learning.

In-context learning (ICL) in large language models (LLMs) is a cutting-edge subset of machine learning that uses input-output examples to adapt to new tasks without changing the base model architecture. This methodology has revolutionized how these models manage various tasks by learning from example data during the inference process. However, the current setup, referred to…

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The AI article released by Google DeepMind presents advanced learning abilities through Multiple-Shot In-Context Learning.

In-context learning (ICL) in large language models utilizes input and output examples to adapt to new tasks. While it has revolutionized how models manage various tasks, few-shot ICL struggles with more complex tasks that require a deep understanding, largely due to its limited input data. This presents an issue for applications that require detailed analysis…

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A versatile remedy to assist animators in enhancing their animation skills.

Artists behind animated movies and video games may soon have greater control over their animations through a new technique devised by researchers at the Massachusetts Institute of Technology (MIT). The approach employs barycentric coordinates, mathematical functions that articulate how 2D and 3D figures can be manipulated through space. Existing solutions are often limited, providing a single…

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