​ AutoMix is an innovative approach that optimises the allocation of queries to larger language models (LLMs) by assessing the approximate correctness of responses from a smaller LM. It incorporates a few-shot self-verification process and a meta-verifier to enhance accuracy. AutoMix showcases its efficiency in… Read More »Optimizing Computational Costs with AutoMix: An AI Strategic Approach to Leveraging Large Language Models from the Cloud Adnan Hassan Artificial Intelligence Category – MarkTechPost

​ In the world of biological research, machine-learning models are making significant strides in advancing our understanding of complex processes, with a particular focus on RNA splicing. However, a common limitation of many machine learning models in this field is their lack of interpretability –… Read More »NYU Researchers have Created a Neural Network for Genomics that can Explain How it Reaches its Predictions Pragati Jhunjhunwala Artificial Intelligence Category – MarkTechPost

​ In engineering design, the reliance on deep generative models (DGMs) has surged in recent years. However, evaluating these models has predominantly revolved around statistical similarity, often neglecting critical aspects such as design constraints, diversity, and novelty. As a result, the need for a more… Read More »Enhancing Engineering Design Evaluation through Comprehensive Metrics for Deep Generative Models Madhur Garg Artificial Intelligence Category – MarkTechPost

​ Recent developments in the field of human action recognition have enabled some amazing breakthroughs in Human-Robot Interaction (HRI). With this technology, robots have begun to understand human behavior and react accordingly. Action segmentation, which is the process of determining the labels and temporal bounds… Read More »A New AI Research from Fujitsu Improves Weakly-Supervised Action Segmentation For Human-Robot Interaction With Action-Union Learning Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​ Large Language Models (LLMs) are great at high-level planning but need to help master low-level tasks like pen spinning. However, a team of researchers from NVIDIA, UPenn, Caltech, and UT Austin have developed an algorithm called EUREKA that uses advanced LLMs, such as GPT-4,… Read More »Meet Eureka: A Human-Level Reward Design Algorithm Powered by Large Language Model LLMs Adnan Hassan Artificial Intelligence Category – MarkTechPost

​ The problem of osteoporosis, a condition characterized by excessive bone loss and a heightened risk of fractures, has long plagued older people. A delicate balance is maintained between bone-building osteoblasts and bone-resorbing osteoclasts in healthy individuals. However, when this balance is disrupted, and the… Read More »A New Deep Learning Research Identifies Antimalarial Drug as a Possible Treatment for Osteoporosis Niharika Singh Artificial Intelligence Category – MarkTechPost

​ Using meticulously detailed models, 3D content production in the metaverse age redefines multimedia experiences in gaming, virtual reality, and film industries. However, designers frequently need help with a time-consuming 3D modeling process, starting with fundamental forms (such as cubes, spheres, or cylinders) and using… Read More »Meet 3D-GPT: An Artificial Intelligence Framework for Instruction-Driven 3D Modelling that Makes Use of Large Language Models (LLMs) Aneesh Tickoo and Asif Razzaq Artificial Intelligence Category – MarkTechPost

​ Character-LLM is a trainable agent designed to simulate specific individuals by editing profiles and training models as personal replicas, replicating their unique experiences. An evaluation in a test playground involves interviewing these trained agents to assess their capacity to memorise characters and experiences. The… Read More »This AI Research from China Introduces Character-LLM that Teaches LLMs to Act as Specific People such as Beethoven, Queen Cleopatra, Julius Caesar, etc. Adnan Hassan Artificial Intelligence Category – MarkTechPost

​ A model’s capacity to generalize or effectively apply its learned knowledge to new contexts is essential to the ongoing success of Natural Language Processing (NLP). Though it’s generally accepted as an important component, it’s still unclear what exactly qualifies as a good generalization in… Read More »Meta AI Researchers Introduce GenBench: A Revolutionary Framework for Advancing Generalization in Natural Language Processing Tanya Malhotra Artificial Intelligence Category – MarkTechPost