Calendars, specifically Google Calendars, have both positive and negative aspects. For example, they can help plan gatherings, track time spent on individual tasks, and even keep in touch with pals. However, our schedule has the potential to balloon out of control quickly. Having nothing to go on but a sea of blue checkboxes on your […] The post Top Calendar Tools For Meetings (2024) appeared first on MarkTechPost. read more

LG AI Research has recently announced the release of EXAONE 3.0. This latest third version in the series upgrades EXAONE’s already impressive capabilities. The release as an open-source large language model is unique to the current version with great results and 7.8B parameters. With the introduction of EXAONE 3.0, LG AI Research is driving a […] The post EXAONE 3.0 Released: A 7.8B Open-Sourced State of the Art Language Model from LG AI Research appeared first on MarkTechPost. read more

Recent advances in segmentation foundation models like the Segment Anything Model (SAM) have shown impressive performance on natural images and videos. Still, their application to medical data remains to be determined. SAM, trained on a vast dataset of natural images, struggles with medical images due to domain differences like lower resolution and unique image challenges. […] The post Comparative Evaluation of SAM2 and SAM1 for 2D and 3D Medical Image Segmentation: Performance Insights and Transfer Learning Potential appeared first on MarkTechPost. read more

Large Language Models (LLMs) are advancing rapidly resulting in more complex architecture. The high cost of LLMs has been a major barrier to their widespread adoption in various industries. Businesses and developers have been hesitant to invest in these models due to the substantial operational expenses. A significant portion of these costs arises from the […] The post DeepSeek API Introduces Context Caching on Disk: Reducing Input Token Price to 1/10 appeared first on MarkTechPost. read more

Over 300,000 photos in earlier massive datasets like COCO have over 3 million annotations. Models may now be trained on datasets with a 1000x increase in scale, such as FLD-5B, which contains over 126 million photos annotated with five billion+ words. Annotation speed can be increased by a factor of 100 with synthetic annotation pipelines, […] The post Overeasy Introduces IRIS: An AI Agent that Automatically Labels Your Visual Data with Prompting to Help Develop Computer Vision Models Faster appeared first on MarkTechPost. read more

Visual representation learning using large models and self-supervised techniques has shown remarkable success in various visual tasks. However, deploying these models in real-world applications is challenging due to multiple resource constraints such as computation, storage, and power consumption. Adapting large pre-trained models for different scenarios with varying resource limitations involves weight pruning, knowledge distillation, or […] The post POA: A Novel Self-Supervised Learning Paradigm for Efficient Multi-Scale Model Pre-Training appeared first on MarkTechPost. read more

One of the primary challenges in AI research is verifying the correctness of language models (LMs) outputs, especially in contexts requiring complex reasoning. As LMs are increasingly used for intricate queries that demand multiple reasoning steps, domain expertise, and quantitative analysis, ensuring the accuracy and reliability of these models is crucial. This task is particularly […] The post Google AI Introduces CoverBench: A Challenging Benchmark Focused on Verifying Language Model LM Outputs in Complex Reasoning Settings appeared first on MarkTechPost. read more

Artificial intelligence, particularly AI chatbots like ChatGPT, has ushered in a new era of technological interaction. These intelligent systems, capable of understanding and generating human-like text, are not just prevalent across various applications but are also transforming the way we communicate, work, and learn. The rapid adoption of AI chatbots, particularly ChatGPT, across different domains […] The post Economists from the University of Chicago Present a Study on the Adoption of ChatGPT appeared first on MarkTechPost. read more

Natural Language Processing (NLP), despite its progress, faces the persistent challenge of hallucination, where models generate incorrect or nonsensical information. Researchers have introduced Retrieval-Augmented Generation (RAG) systems to mitigate this issue by incorporating external information retrieval to enhance the accuracy of generated responses. The problem, however, is the reliability and effectiveness of RAG systems in […] The post RAGEval: An AI Framework for Automatically Generating Evaluation Datasets to Evaluate the Knowledge Usage Ability of Different LLMs in Different Scenarios appeared first on MarkTechPost. read more

As LLMs have become increasingly capable of performing various tasks through few-shot learning and instruction following, their inconsistent output formats have hindered their reliability and usability in industrial contexts. This inconsistency complicates the extraction and evaluation of generated content, particularly when structured generation methods, such as JSON and XML, are employed. The authors investigate whether […] The post Balancing Act: The Impact of Format Restrictions on Reasoning in Large Language Models appeared first on MarkTechPost. read more