​ Legal concerns have been raised about massive language models (LMs) because they are often trained on copyrighted content. The inherent tradeoff between legal risk and model performance lies at the heart of this topic. Using just permissively licensed or publicly available data for training… Read More »Feel Risky to Train Your Language Model on Restricted Data? Meet SILO: A New Language Model that Manages Risk-Performance Tradeoffs During Inference Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​ AI has emerged as a beacon of hope for individuals by analyzing a certain genetic variation in minimizing the risk of kidney transplantation. The evaluation of graft failure risks in kidney transplants has traditionally relied on HLA (Human Leukocyte Antigen) mismatches. A research team… Read More »Researchers from the University of Pennsylvania are Developing Machine Learning Strategies to Improve Kidney Matching and Decrease the Risk of Graft Failure Astha Kumari Artificial Intelligence Category – MarkTechPost

​ NeRFs or Neural Radiance Fields use a combination of RNN and CNN to capture the physical characteristics of an object, such as the shape, material, and texture. They can generate realistic images of objects in different lighting conditions. They have proved most useful in… Read More »Attention Gaming Industry! No More Weird Mirrors With Mirror-NeRF Janhavi Lande Artificial Intelligence Category – MarkTechPost

​ How to convert a nested list into a flat list in Python? You can convert a nested list into a flat list using many ways, for example, by using the nested for loops, recursion, list comprehension, numpy module, functools module, sum(), extend(), and itertools… Read More »Convert a Nested List into a Flat List in Python Malli Spark By {Examples}

​ Amazon Translate is a neural machine translation service that delivers fast, high-quality, affordable, and customizable language translation. When you translate from one language to another, you want your machine translation to be accurate, fluent, and most importantly contextual. Domain-specific and language-specific customizable terminology is… Read More »Amazon Translate enhances its custom terminology to improve translation accuracy and fluency Sathya Balakrishnan AWS Machine Learning Blog

​ Natural language processing (NLP) is the field in machine learning (ML) concerned with giving computers the ability to understand text and spoken words in the same way as human beings can. Recently, state-of-the-art architectures like the transformer architecture are used to achieve near-human performance… Read More »Zero-shot text classification with Amazon SageMaker JumpStart David Laredo AWS Machine Learning Blog

​ Artificial Intelligence is tremendously increasing daily in various profiles like Cloud platforms, finance, quantitative finance, product design, and many more. Many researchers are still working on the role of Human chatbots and the application of machine-learning techniques in developing these chatbot models. Implementing a… Read More »Comparing Machine Learning Methods: Traditional vs. Cost-saving Alternatives – What Really Works? Bhoumik Mhatre Artificial Intelligence Category – MarkTechPost

​ Large language models (LLMs) have accelerated development in various real-world fields and have shown unexpected emergent skills, including in-context learning and chain-of-thought reasoning. However, this development has several dangers, from short-term concerns like social biases, data leaks, and disinformation to longer-term dangers posed by… Read More »Unlocking the Mysteries of Large Language Models: A Deep Dive into Influence Functions and Their Scalability Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

​ In the ever-evolving landscape of machine learning, ONNX (Open Neural Network Exchange) models have emerged as a pivotal technology, offering a standardized and flexible representation that spans a diverse range of hardware platforms and runtime environments. From cloud-based supercomputers to resource-constrained edge devices like… Read More »Microsoft AI Research Open-Sources ONNX Script Library for Directly Authoring ONNX Models in Python Niharika Singh Artificial Intelligence Category – MarkTechPost

​ While humans possess the ability to adapt their thinking and responses based on varying situations or conditions, Neural Networks, though incredibly potent and intricately designed, are constrained by fixed functions and inputs. They consistently execute the same function regardless of the nature or intricacy… Read More »Google AI Introduces AdaTape: A New AI Approach with a Transformer-based Architecture that Allows for Dynamic Computation in Neural Networks through Adaptive Tape Tokens Rachit Ranjan Artificial Intelligence Category – MarkTechPost