​ Foundation models have taken the Artificial Intelligence community by storm. Their recent impact has helped contribute to a wide range of industries such as healthcare, finance, education, entertainment, etc. The popular large language models such as GPT-3, DALLE 2, and BERT are the ones… Read More »The Scope Of Foundation Models In Decision Making: Their Challenges, Opportunities, And Potentials Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​ In deep learning, large models with millions of parameters have shown remarkable accuracy in various applications such as image recognition, natural language processing, and speech recognition. However, training and deploying these models can be computationally expensive and require significant memory resources. This has led… Read More »A New AI Research Proposes A Novel Approach To Compact And Optimal Deep Learning By Decoupling Model DoF And Model Parameters Mahmoud Ghorbel Artificial Intelligence Category – MarkTechPost

​ Several recent vision-language models have demonstrated remarkable multi-modal generation abilities. But typically, they call for training enormous models on enormous datasets. Researchers introduce Prismer, a data- and parameter-efficient vision-language model that uses an ensemble of domain experts, as a scalable alternative. By inheriting most… Read More »Meet Prismer: An Open Source Vision-Language Model with An Ensemble of Experts Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​ As a result of recent technological advances in machine learning (ML), ML models are now being used in a variety of fields to improve performance and eliminate the need for human labor. These disciplines can be as simple as assisting authors and poets in… Read More »Understanding Explainable AI And Interpretable AI Khushboo Gupta Artificial Intelligence Category – MarkTechPost

​ For decades, the tasks involving predicting a molecule’s chemical, macroscopic, or biological properties based on its chemical structure have been a key scientific research problem.  Many machine learning algorithms have been used in discovering correlations between the chemical structure and characteristics of such molecules… Read More »Meet CLAMP: An New AI Tool For Molecular Activity Prediction That Can Adapt To New Experiments At Inference Time Khushboo Gupta Artificial Intelligence Category – MarkTechPost

​ Pretrained language models (PLMs) have significantly improved on many downstream NLP tasks due to finetuning. While current PLMs can include hundreds of millions of parameters, the traditional paradigm of full task-specific finetuning (FT) is challenging to expand to numerous tasks. The need to learn… Read More »A New AI Research Introduces Multitask Prompt Tuning (MPT) For Transfer Learning Tanushree Shenwai Artificial Intelligence Category – MarkTechPost