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MosaicML Proposes Modifying Chinchilla Scaling Laws to Account for Inference Costs when Determining Optimal LLM Size Adnan Hassan Artificial Intelligence Category – MarkTechPost

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​ LLMs represent a significant leap in understanding and generating human language. These models are instrumental in various AI applications, from automated translation to conversational agents. Their development involves a delicate balance between enhancing capabilities and managing computational costs, a challenge that continues to evolve… Read More »MosaicML Proposes Modifying Chinchilla Scaling Laws to Account for Inference Costs when Determining Optimal LLM Size Adnan Hassan Artificial Intelligence Category – MarkTechPost

This AI Paper from UT Austin and Meta AI Introduces FlowVid: A Consistent Video-to-Video Synthesis Method Using Joint Spatial-Temporal Conditions Muhammad Athar Ganaie Artificial Intelligence Category – MarkTechPost

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​ In the domain of computer vision, particularly in video-to-video (V2V) synthesis, maintaining temporal consistency across video frames has been a persistent challenge. Achieving this consistency is crucial for synthesized videos’ coherence and visual appeal, which often combine elements from varying sources or modify them… Read More »This AI Paper from UT Austin and Meta AI Introduces FlowVid: A Consistent Video-to-Video Synthesis Method Using Joint Spatial-Temporal Conditions Muhammad Athar Ganaie Artificial Intelligence Category – MarkTechPost

Generating value from enterprise data: Best practices for Text2SQL and generative AI Nitin Eusebius AWS Machine Learning Blog

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​ Generative AI has opened up a lot of potential in the field of AI. We are seeing numerous uses, including text generation, code generation, summarization, translation, chatbots, and more. One such area that is evolving is using natural language processing (NLP) to unlock new… Read More »Generating value from enterprise data: Best practices for Text2SQL and generative AI Nitin Eusebius AWS Machine Learning Blog

Google and MIT Researchers Introduce Synclr: A Novel AI Approach for Learning Visual Representations Exclusively from Synthetic Images and Synthetic Captions without any Real Data Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

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​ Raw and frequently unlabeled data can be retrieved and organized using representation learning. The ability of the model to develop a good representation depends on the quantity, quality, and diversity of the data. In doing so, the model mirrors the data’s inherent collective intelligence.… Read More »Google and MIT Researchers Introduce Synclr: A Novel AI Approach for Learning Visual Representations Exclusively from Synthetic Images and Synthetic Captions without any Real Data Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

Meet Vald: An Open-Sourced, Highly Scalable Distributed Vector Search Engine Niharika Singh Artificial Intelligence Category – MarkTechPost

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​ The challenge of efficiently searching and retrieving information in digital data has become more pronounced. Traditional search methods need help with vast amounts of unstructured data like images,  audio, videos, and text. This has led to a demand for a solution that can handle… Read More »Meet Vald: An Open-Sourced, Highly Scalable Distributed Vector Search Engine Niharika Singh Artificial Intelligence Category – MarkTechPost

This AI Paper Introduces DL3DV-10K: A Large-Scale Scene Dataset for Deep Learning-based 3D Vision Madhur Garg Artificial Intelligence Category – MarkTechPost

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​ Neural View Synthesis (NVS) poses a complex challenge in generating realistic 3D scenes from multi-view videos, especially in diverse real-world scenarios. The limitations of current state-of-the-art (SOTA) NVS techniques become apparent when faced with variations in lighting, reflections, transparency, and overall scene complexity. Recognizing… Read More »This AI Paper Introduces DL3DV-10K: A Large-Scale Scene Dataset for Deep Learning-based 3D Vision Madhur Garg Artificial Intelligence Category – MarkTechPost

Alibaba Researchers Unveil Unicron: An AI System Designed for Efficient Self-Healing in Large-Scale Language Model Training Muhammad Athar Ganaie Artificial Intelligence Category – MarkTechPost

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​ The development of Large Language Models (LLMs), such as GPT and BERT, represents a remarkable leap in computational linguistics. Training these models, however, is challenging. The computational intensity required and the potential for various failures during extensive training periods necessitate innovative solutions for efficient… Read More »Alibaba Researchers Unveil Unicron: An AI System Designed for Efficient Self-Healing in Large-Scale Language Model Training Muhammad Athar Ganaie Artificial Intelligence Category – MarkTechPost

Meet SPACEL: A New Deep-Learning-based Analysis Toolkit for Spatial Transcriptomics Rachit Ranjan Artificial Intelligence Category – MarkTechPost

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​ Scientists traditionally examine tissues by analyzing the expression levels of genes in individual cells using a technique known as spatial transcriptomics (ST). Researchers gain insights into cells’ spatial organization and function by measuring the quantity of RNA in specific locations within a tissue. Spatial… Read More »Meet SPACEL: A New Deep-Learning-based Analysis Toolkit for Spatial Transcriptomics Rachit Ranjan Artificial Intelligence Category – MarkTechPost