​[[{“value”:” AWS was delighted to present to and connect with over 18,000 in-person and 267,000 virtual attendees at NVIDIA GTC, a global artificial intelligence (AI) conference that took place March 2024 in San Jose, California, returning to a hybrid, in-person experience for the first time… Read More »AWS at NVIDIA GTC 2024: Accelerate innovation with generative AI on AWS Julie Tang AWS Machine Learning Blog

​Measuring up to the challenges of climate change and environmental pollution requires a combination of human creativity, technological advances, and Continue reading  Measuring up to the challenges of climate change and environmental pollution requires a combination of human creativity, technological advances, andContinue reading  Read More Business, Construction,… Read More »Sunthalpy and BigML Join Forces to Usher in a New Era in Sustainable Buildings atakancetinsoy The Official Blog of BigML.com

​ Experiments in Organizing Information for Optimal Retrieval Continue reading on Chatbots Life »  Experiments in Organizing Information for Optimal RetrievalContinue reading on Chatbots Life »  Read More rage, llm-training, knowledge-base, ai, llm 

​[[{“value”:” DeepLearning AI offers a variety of short courses designed to boost your skills in generative AI and other AI technologies. These courses are crafted to provide learners with the right knowledge, tools, and techniques required to excel in AI. Here’s a look at the… Read More »15 Short Artificial Intelligence (AI) Courses on DeepLearning.AI Adnan Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Researchers from Meta developed a machine learning (ML)-based approach to address the challenges of optimizing bandwidth estimation (BWE) and congestion control for real-time communication (RTC) across Meta’s family of apps. Existing techniques, such as WebRTC’s Google Congestion Controller (GCC), rely on hand-tuned parameters, leading… Read More »Meta Introduces a Machine Learning (ML)-based Approach that Allows to Solve Networking Problems Holistically Across Cross-Layers such as BWE Pragati Jhunjhunwala Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The abundance of web-scale textual data available has been a major factor in the development of generative language models, such as those pretrained as multi-purpose foundation models and tailored for particular Natural Language Processing (NLP) tasks. These models use enormous volumes of text to… Read More »Researchers at the University of Cambridge Propose AnchorAL: A Unique Machine Learning Method for Active Learning in Unbalanced Classification Tasks Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Mathematical reasoning is vital for problem-solving and decision-making, particularly in large language models (LLMs). Evaluating LLMs’ mathematical reasoning usually focuses on the final result rather than the reasoning process intricacies. Current methodologies, like the OpenLLM leaderboard, primarily use overall accuracy, potentially overlooking logical errors… Read More »This AI Paper Introduces ReasonEval: A New Machine Learning Method to Evaluate Mathematical Reasoning Beyond Accuracy Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The field of artificial intelligence is rapidly advancing, and there have been significant improvements in text-to-speech (TTS) technology. Parler-TTS is a new open-source inference and training library that has been designed to encourage innovation in high-quality and controllable TTS models. Developed with an eye… Read More »HuggingFace Releases Parler-TTS: An Inference and Training Library for High-Quality, Controllable Text-to-Speech (TTS) Models Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Language models often need more exposure to fruitful mistakes during training, hindering their ability to anticipate consequences beyond the next token. LMs must improve their capacity for complex decision-making, planning, and reasoning. Transformer-based models struggle with planning due to error snowballing and difficulty in… Read More »Researchers at Stanford and MIT Introduced the Stream of Search (SoS): A Machine Learning Framework that Enables Language Models to Learn to Solve Problems by Searching in Language without Any External Support Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Imagine an AI system that can recognize any object, comprehend any text, and generate realistic images without being explicitly trained on those concepts. This is the enticing promise of “zero-shot” capabilities in AI. But how close are we to realizing this vision? Major tech… Read More »The “Zero-Shot” Mirage: How Data Scarcity Limits Multimodal AI Vineet Kumar Artificial Intelligence Category – MarkTechPost