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Microsoft’s AI puts forward CoT-Influx: An original machine learning method that expands the scope of Few-Shot Chain-of-Thoughts (CoT) learning to enhance the mathematical reasoning of Large Language Models (LLMs).

Large Language Models (LLMs) have had a significant impact on the realm of Artificial Intelligence (AI). Yet, these models are not perfect and often struggle with mathematical reasoning, which is a crucial element of AI's cognitive abilities. Researchers are working hard to enhance these models' reasoning capabilities by focusing on Chain-of-Thought (CoT) prompts and optimizing…

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Enhancing your RFM Model in BigQuery: A Guide

This article discusses the enhancement of an RFM (Recency, Frequency, Monetary) model in BigQuery for improved customer insights and relationship management. The RFM model is a straightforward and easily implementable tool that provides valuable insights into customer behavior by sorting customers into distinct groups such as Champions, Potential Loyalists, and those at risk of being…

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Five Complimentary Google Courses to Train as a Software Engineer

The tech industry is ever-expanding, offering countless opportunities for individuals interested in software engineering. For those interested in the self-taught route, it may be challenging to know where to start. Fortunately, Google offers free resources and courses to help one acquire the skills necessary to secure a software engineering role without a Computer Science degree. A…

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AI hastens the resolution of complex issues or situations.

Santa Claus can deliver presents worldwide in one night, but for companies like FedEx, this task isn't so simple - and it is so complex, dedicated software is often used to solve it. Known as a mixed-integer linear programming (MILP) solver, the software breaks down this vast optimization problem into smaller pieces and then employs…

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Engineers at MIT have devised a method to ascertain the behaviour of material surfaces.

A group of MIT researchers has developed a machine learning (ML) approach that could revolutionize the way we design catalysts for chemical reactions. The method simplifies the intricate process of designing new compounds or alloys, traditionally dependent on the intuition of experienced chemists, by using ML to provide more detailed information than conventional techniques can. The…

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An algorithm developed at MIT aids in predicting the occurrence of severe weather events.

Assessing a community’s risk of extreme weather events – such as catastrophic storms and catastrophic flooding – is a key task for policymakers who are trying to prepare for the potential impacts of global climate change. Despite major advancements in technology and modeling techniques, however, these forecasts leave a lot to be desired. Now, a…

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Construct a processing pipeline for receipts and invoices using Amazon Textract.

In an attempt to optimize financial processes and bring cost efficiency, modern-day businesses are exploring ways to improve areas like accounts payable. The process, which includes steps like receiving and scanning invoices, data extraction, validation, approval, and archival, has its own set of challenges, particularly in data extraction. Traditional methods of data extraction involving human…

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Transforming Healthcare: OpenEvidence Debuts Medical AI API for Improved Clinical Solutions

Artificial Intelligence (AI) is reshaping numerous aspects of life in the modern world, and the medical field is no exception. A remarkable breakthrough in this area has been achieved by OpenEvidence, a medical AI created under the Mayo Clinic Platform Accelerate. The AI has set a benchmark by scoring an impressive 90% on the United…

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MathVerse: A Comprehensive Visual Math Benchmark Crafted for Fair, Thorough Assessment of Multi-modal Extensive Language Models (MLLMs)

The ability of large Multimodal Language Models (MLLMs) to tackle visual math problems is currently the subject of intense interest. While MLLMs have performed remarkably well in visual scenarios, the extent to which they can fully understand and solve visual math problems remains unclear. To address these challenges, frameworks such as GeoQA and MathVista have…

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Scientists from GSK AI and Imperial College have launched RAmBLA, a machine learning tool created to assess the dependability of LLMs as auxiliary aids in the biomedical field.

The increased adoption and integration of large Language Models (LLMs) in the biomedical sector for interpretation, summary and decision-making support has led to the development of an innovative reliability assessment framework known as Reliability AssessMent for Biomedical LLM Assistants (RAmBLA). This research, led by Imperial College London and GSK.ai, puts a spotlight on the critical…

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