​[[{“value”:” In the evolving landscape of artificial intelligence, language models transform interaction and information processing. However, aligning these models with specific user feedback while avoiding unintended overgeneralization poses a challenge. Traditional approaches often need to discern the applicability of feedback, leading to models extending rules… Read More »Researchers at Stanford Unveil C3PO: A Novel Machine Learning Approach for Context-Sensitive Customization of Large Language Models Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” This is a guest post written by Axfood AB.  In this post, we share how Axfood, a large Swedish food retailer, improved operations and scalability of their existing artificial intelligence (AI) and machine learning (ML) operations by prototyping in close collaboration with AWS experts… Read More »How Axfood enables accelerated machine learning throughout the organization using Amazon SageMaker Dr. Björn Blomqvist AWS Machine Learning Blog

​[[{“value”:” The rise of Large Language Models (LLMs) has transformed text creation and computing interactions. These models’ lack of ensuring content accuracy and adherence to specific formats like JSON remains challenging. LLMs handling data from diverse sources encounter difficulties maintaining confidentiality and security, which is… Read More »Microsoft Present AI Controller Interface: Generative AI with a Lightweight, LLM-Integrated Virtual Machine (VM) Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The introduction of Augmented Reality (AR) and wearable Artificial Intelligence (AI) gadgets is a significant advancement in human-computer interaction. With AR and AI gadgets facilitating data collection, there are new possibilities to develop highly contextualized and personalized AI assistants that function as an extension… Read More »Meta Releases Aria Everyday Activities (AEA) Dataset: An Egocentric Multimodal Open Dataset Recorded Using Project Aria Glasses Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In 3D reconstruction and generation, pursuing techniques that balance visual richness with computational efficiency is paramount. Effective methods such as Gaussian Splatting often have significant limitations, particularly in handling high-frequency signals and sharp edges due to their inherent low-pass characteristics. This limitation affects the… Read More »Revolutionizing 3D Scene Modeling with Generalized Exponential Splatting Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Recent advancements in generative deep learning models have revolutionized fields such as Natural Language Processing (NLP) and Computer Vision (CV). Previously, specialized models with supervised training dominated these domains, but now, a shift towards generalized models capable of performing diverse tasks with minimal explicit… Read More »This Machine Learning Research from Amazon Introduces BASE TTS: A Text-to-Speech (TTS) Model that Stands for Big Adaptive Streamable TTS with Emergent Abilities Mohammad Arshad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The deployment of large language models (LLMs) has become central to many applications, from synthetic data generation to fine-tuning models for specific tasks. With their vast capabilities, these models have opened new frontiers in research and application development. Yet, the adoption of LLMs has… Read More »Researchers from the University of Pennsylvania and Vector Institute Introduce DataDreamer: An Open-Source Python Library that Allows Researchers to Write Simple Code to Implement Powerful LLM Workflow Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In Pandas, the Series.quantile() function is used to compute the quantiles of a Series. Quantiles are statistical values that divide the data into four equal parts each representing 25% of the data. This function allows you to calculate the below quartiles. First Quartile (Q1):… Read More »Pandas Series.quantile() Function Malli Spark By {Examples}

​[[{“value”:” Mixture-of-experts (MoE) models have revolutionized artificial intelligence by enabling the dynamic allocation of tasks to specialized components within larger models. However, a major challenge in adopting MoE models is their deployment in environments with limited computational resources. The vast size of these models often… Read More »Researchers from the University of Washington Introduce Fiddler: A Resource-Efficient Inference Engine for LLMs with CPU-GPU Orchestration Nikhil Artificial Intelligence Category – MarkTechPost