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Essential Measures for Assessing Big Language Models (LLMs)

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedJune 20, 202435Views0Likes0Comments
Evaluating Large Language Models (LLMs) is a difficult task, as real-world problems are quite complex and ever-changing. Conventional benchmarks often fail to provide a holistic picture of LLMs' performance. Here are some key metrics recently highlighted in a LinkedIn post: 1. MixEval: Designed to ensure balance between user queries and effective grading, MixEval combines real-world user…

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Utilizing Machine Learning for Sophisticated Bioprocess Development: Shifting from Data-Based Improvement to Live Monitoring

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Machine learning, Staff, Tech News, Technology, UncategorizedJune 20, 202432Views0Likes0Comments
Modern bioprocess development is significantly influenced by machine learning (ML), which is a part of a wide range of analytics techniques, digitalisation, and automation methods. These tools generate large sets of experimental data which are crucial in the optimisation of bioprocessing methodologies. With the help of ML, these vast datasets can be efficiently examined to…

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Utilizing Machine Learning for Progressive Bioprocess Development: From Data-Based Enhancement to Immediate-Time Supervision

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Machine learning, Staff, Tech News, Technology, UncategorizedJune 20, 202434Views0Likes0Comments
Modern bioprocess management, guided by sophisticated analytical techniques, digitalization, and automation, is generating abundant experimental data crucial for process optimization. Machine Learning (ML) techniques have proven crucial in analyzing these huge datasets, allowing for the efficient exploration of design spaces in bioprocessing. ML techniques are utilized in strain engineering, bioprocess optimization, scale-up, and real-time monitoring…

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Groundbreaking AI Innovations by Meta FAIR: Improving Creativity, Productivity, and Accountability in Open Science AI Investigation and Progress

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Machine learning, Staff, Tech News, Technology, UncategorizedJune 20, 202437Views0Likes0Comments
Meta's Fundamental AI Research (FAIR) team has announced several significant advances in the field of artificial intelligence, reinforcing their commitment to collaboration, openness, and responsible artificial intelligence development. With a focus on principles of excellence and scalability, the team's aim is to foster cutting-edge innovation. Meta FAIR has launched six key research artifacts which include innovative…

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Meta FAIR’s Cutting-Edge AI Launches: Augmenting Creativity, Productivity, and Accountability in Transparent AI Science Explorations and Advancement.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Machine learning, Staff, Tech News, Technology, UncategorizedJune 20, 202434Views0Likes0Comments
Meta's Fundamental AI Research (FAIR) team has made significant advancements and contributions to AI research, models, and datasets recently that align with principles of openness, collaboration, quality, and scalability. Through these, the team aims to encourage innovation and responsible development in AI. Meta FAIR has made six key research artifacts public, as part of an aim…

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MINT-1T: A Free-to-use Trillion Token Multimodal Interweaved Collection and a Crucial Element for Educating Extensive Multimodal Models LMMs

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Computer vision, Editors Pick, Staff, Tech News, Technology, UncategorizedJune 20, 202435Views0Likes0Comments
Open-source pre-training datasets play a critical role in investigating data engineering and fostering transparent and accessible modeling. Recently, there has been a move from frontier labs towards the creation of large multimodal models (LMMs) requiring sizable datasets composed of both visual and textual data. The rate at which these models advance often exceeds the availability…

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Introducing Baselit: A Startup Powered by AI that Effortlessly Reduces the Expenses of Snowflake without Human Intervention

AI Shorts, AI Startups, Applications, Artificial Intelligence, Editors Pick, Staff, Tech News, Technology, UncategorizedJune 20, 202443Views0Likes0Comments
In the current economic climate, getting the maximum benefit of their Snowflake investment is crucial for data teams. As a data warehouse, Snowflake facilitates data storage and management in its cloud-based environment. However, cost optimization in Snowflake remains a major concern for data teams, who often spend a considerable amount of time manually looking for…

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Introducing GPUDeploy.com: An AI-Based Startup Offering a Platform for GPU Rentals

AI Shorts, AI Startups, Applications, Artificial Intelligence, Editors Pick, Hardware, Language Model, Staff, Tech News, Technology, UncategorizedJune 20, 202440Views0Likes0Comments
GPUs, or Graphics Processing Units, are powerful processors and essential components for running artificial intelligence (AI) algorithms. However, their high acquisition and maintenance costs often make them inaccessible to small businesses, individual initiatives, and academic institutions. Recognizing an opportunity in the AI revolution, which has driven a high demand for GPUs, GPUDeploy offers a solution…

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Revealing AI Misconduct: The Way Large Language Models Progress from Basic Manipulations to Significant Reward Alteration.

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Staff, Tech News, Technology, UncategorizedJune 20, 202436Views0Likes0Comments
Reinforcement learning (RL) is often used to train large language models (LLMs) for use as AI assistants. By assigning numerical rewards to outcomes, RL encourages behaviours that result in high-reward outcomes. However, a poorly stated reward signal can lead to 'specification gaming', where the model learns behaviours that are undesirable but highly rewarded. A range of…

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