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Large language models could ‘revolutionsise the finance sector within two years’

Large Language Models (LLMs) have the potential to improve efficiency and safety in the finance sector by detecting fraud, generating financial insights and automating customer service, according to research by The Alan Turing Institute. Because LLMs have an ability to analyse large amounts of data quickly and generate coherent text, there is growing understanding of…

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Large language models use a surprisingly simple mechanism to retrieve some stored knowledge | MIT News

Large language models, such as those that power popular artificial intelligence chatbots like ChatGPT, are incredibly complex. Even though these models are being used as tools in many areas, such as customer support, code generation, and language translation, scientists still don’t fully grasp how they work. In an effort to better understand what is going…

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Researchers enhance peripheral vision in AI models | MIT News

Peripheral vision enables humans to see shapes that aren’t directly in our line of sight, albeit with less detail. This ability expands our field of vision and can be helpful in many situations, such as detecting a vehicle approaching our car from the side. Unlike humans, AI does not have peripheral vision. Equipping computer vision…

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OpenAI releases new models and lowers API pricing

OpenAI has announced several updates that will benefit developers using its AI services, including new embedding models, a lower price for GPT-3.5 Turbo, an updated GPT-4 Turbo preview, and more robust content moderation capabilities. The San Francisco-based AI lab said its new text-embedding-3-small and text-embedding-3-large models offer upgraded performance over previous generations. For example, text-embedding-3-large…

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Multiple AI models help robots execute complex plans more transparently | MIT News

Your daily to-do list is likely pretty straightforward: wash the dishes, buy groceries, and other minutiae. It’s unlikely you wrote out “pick up the first dirty dish,” or “wash that plate with a sponge,” because each of these miniature steps within the chore feels intuitive. While we can routinely complete each step without much thought,…

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Deep neural networks show promise as models of human hearing | MIT News

Computational models that mimic the structure and function of the human auditory system could help researchers design better hearing aids, cochlear implants, and brain-machine interfaces. A new study from MIT has found that modern computational models derived from machine learning are moving closer to this goal. In the largest study yet of deep neural networks…

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AI models are powerful, but are they biologically plausible? | MIT News

Artificial neural networks, ubiquitous machine-learning models that can be trained to complete many tasks, are so called because their architecture is inspired by the way biological neurons process information in the human brain. About six years ago, scientists discovered a new type of more powerful neural network model known as a transformer. These models can…

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Helping computer vision and language models understand what they see | MIT News

Powerful machine-learning algorithms known as vision and language models, which learn to match text with images, have shown remarkable results when asked to generate captions or summarize videos. While these models excel at identifying objects, they often struggle to understand concepts, like object attributes or the arrangement of items in a scene. For instance, a…

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Multi-AI collaboration helps reasoning and factual accuracy in large language models | MIT News

An age-old adage, often introduced to us during our formative years, is designed to nudge us beyond our self-centered, nascent minds: “Two heads are better than one.” This proverb encourages collaborative thinking and highlights the potency of shared intellect. Fast forward to 2023, and we find that this wisdom holds true even in the realm…

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New tools are available to help reduce the energy that AI models devour | MIT News

When searching for flights on Google, you may have noticed that each flight’s carbon-emission estimate is now presented next to its cost. It’s a way to inform customers about their environmental impact, and to let them factor this information into their decision-making. A similar kind of transparency doesn’t yet exist for the computing industry, despite…

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