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PlanRAG: The concept of a Generative Large Language Model that Plans before Retrieving Augmented Generation for Decision-Making Purposes

Decision-making is crucial for organizations, often requiring data analysis and selection processes to determine the best alternative to meet specific objectives. For instance, pharmaceutical distribution networks often have to confront daunting decisions such as choosing the appropriate plants to run, deciding on the number of employees to employ, and optimizing production costs while ensuring prompt…

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Microsoft researchers have presented a conceptual structure that utilizes Variational Bayesian Theory and includes a Bayesian intention variable.

Historically, thinking around decision-making has dichotomized habitual and goal-oriented behavior, treating them as independent activities controlled by distinct neural systems. Habitual behaviors, being automatic, are fast and model-free while goal-oriented behaviors, requiring deliberate action, are slower, model-based but demanding computationally. Microsoft researchers, however, have proposed an innovative Bayesian behavior framework that attempts to synergize these…

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Project Oversight by Roboflow Improves Computer Vision Initiatives: A Guide to Installation, Functionality, and User Assistance

Roboflow’s Supervision is a reusable tool crafted to simplify numerous tasks relating to computer vision. The tool is quite adaptable and provides functionalities to load datasets from different sources, draw detections on images or videos, and count the number of detections within specified zones. One of the significant features of Supervision is its ability to…

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An algorithm developed at MIT assists in predicting the occurrence rate of severe weather.

Scientists from MIT and the Pacific Northwest National Laboratory have developed a way to increase the accuracy of large-scale climate models, allowing for more precise predictions of extreme weather incidents in specific locations. Their process involves using machine learning in tandem with existing climate models to make the models' predictions closer to real-world observations. This…

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How Inventors Established and Divested Their Cosmetic Firms

The creator economy refers to the class of businesses built by individuals who create digital content, products, services, and even communities within online spaces. This may include online influencers, bloggers, podcasters, video creators, and others who have been able to turn their passion, creativity, and influence into potentially lucrative ventures. Numerous studies underline the immense…

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Why Companies Seek a Financial Expert in Their Brands

The TikTok platform has recently been abuzz with a viral song created by Megan Boni. Operating under the handle (@girl_on_couch), she has managed to attract widespread attention, notably from multiple brands and a large segment of the online community, with her song. The song is a fanciful and amusing representation of an “ideal” romantic partner,…

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Elevate your skills at the 2024 MarTech Summit in Hong Kong!

The MarTech Summit Hong Kong 2024 is set to take place on July 9th at the prestigious Grand Ballroom in Kowloon Shangri-La. This summit is an essential destination for marketing professionals looking for current insights, networking opportunities, and data-driven marketing strategies. The event will host a variety of industry leaders, promising innovative and actionable insights. These…

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Researchers from the Allen Institute have unveiled a report on Artificial Intelligence which presents OLMES. This innovation aims to establish standards for equitable and repeatable assessments in the field of language modeling.

In the field of artificial intelligence (AI) research, language model evaluation is a vital area of focus. This involves assessing the capabilities and performance of models on various tasks, helping to identify their strengths and weaknesses in order to guide future developments and enhancements. A key challenge in this area, however, is the lack of…

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Mozart Data: A Comprehensive Data Platform Utilizing BigQuery or Snowflake Technologies Internally

In the modern data-driven economy, data generation is at an unprecedented level. Handling and investigating this data effectively poses a significant challenge due to its sheer volume and potential for insights. Data analysis and optimization can now benefit all business aspects, whether they are minor or major, ranging from marketing initiatives to general operations and…

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Removing Vector Quantization: Implementing Diffusion-Based AI Models for Autoregressive Image Production

Autoregressive image generation models have traditionally been built using vector-quantized representations. However, these models have exhibited drawbacks, particularly related to their limited flexibility and computational intensity that often result in suboptimal image reconstruction. The vector quantization process involves the conversion of continuous image data into discrete tokens, which can also give rise to loss of…

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HPC AI Tech’s Open-Sora 1.2: Revolutionizing Video Production through Advanced, Open-Source Video Creation and Reduction Techniques.

Open-Sora, a cutting-edge initiative by HPC AI Tech, intends to democratize the process of efficient video production. By espousing the principles of open-source, the project aims to make the sophisticated methods of video generation available to all, thereby promoting innovation, creativity, and inclusivity in the field of content creation. The first version, Open-Sora 1.0, established the…

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Microsoft Unveils Florence-2: A New Vision Foundation Model with an Integrated, Prompt-based Structure for a Range of Computer Vision and Vision-Language Responsibilities.

Microsoft research team has made significant strides in introducing Florence-2, a sophisticated computer vision model. The adoption of pretrained and adaptable systems in artificial general intelligence (AGI) is increasingly becoming popular. These systems, characterized by their task-agnostic capabilities, are used in diverse applications. Natural language processing (NLP), with its ability to learn new tasks and…

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