​[[{“value”:” Retrieval Augmented Generation (RAG) is a method that enhances the capabilities of Large Language Models (LLMs) by integrating a document retrieval system. This integration allows LLMs to fetch relevant information from external sources, thereby improving the accuracy and relevance of the responses generated. This… Read More »Seeing Through Multiple Lenses: Multi-Head RAG Leverages Transformer Power for Improved Multi-Aspect Document Retrieval Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large language models (LLMs) have the potential to lead users to make poor decisions, especially when these models provide incorrect information with high confidence, which is called hallucination. This confident misinformation has the potential to be very dangerous since it might persuade people to… Read More »Researchers at Stanford Introduce a Two-Step Framework for Linguistic Calibration of Long-Form Generations Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Amazon Q Developer is an AI-powered assistant for software development that reimagines the experience across the entire software development lifecycle, making it faster to build, secure, manage, and optimize applications on or off of AWS. The Amazon Q Developer Agent includes an agent for… Read More »Reimagining software development with the Amazon Q Developer Agent Christian Bock AWS Machine Learning Blog

​[[{“value”:” The training of Large Language Models (LLMs) like GPT-3 and Llama on a large scale faces significant inefficiencies due to hardware failures and network congestion. These issues lead to substantial GPU resource waste and extended training durations. Specifically, hardware malfunctions cause interruptions in training,… Read More »Enhancing Large-scale Parallel Training Efficiency with C4 by Alibaba Aswin Ak Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Apple made a significant announcement, strongly advocating for on-device AI through its newly introduced Apple Intelligence. This innovative approach emphasizes the integration of a ~3 billion parameter language model (LLM) on devices like Mac, iPhone, and iPad, leveraging fine-tuned LoRA adapters to perform specialized… Read More »Apple Intelligence: Leading the Way in On-Device AI with Advanced Fine-Tuned Models and Privacy Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Starting with the AWS Neuron 2.18 release, you can now launch Neuron DLAMIs (AWS Deep Learning AMIs) and Neuron DLCs (AWS Deep Learning Containers) with the latest released Neuron packages on the same day as the Neuron SDK release. When a Neuron SDK is… Read More »Get started quickly with AWS Trainium and AWS Inferentia using AWS Neuron DLAMI and AWS Neuron DLC Niithiyn Vijeaswaran AWS Machine Learning Blog

​[[{“value”:” This is a guest post co-written with Ratnesh Jamidar and Vinayak Trivedi from Sprinklr. Sprinklr’s mission is to unify silos, technology, and teams across large, complex companies. To achieve this, we provide four product suites, Sprinklr Service, Sprinklr Insights, Sprinklr Marketing, and Sprinklr Social,… Read More »Sprinklr improves performance by 20% and reduces cost by 25% for machine learning inference on AWS Graviton3 Sunita Nadampalli AWS Machine Learning Blog

​[[{“value”:” Wiz is a cloud security platform that enables organizations to secure everything they build and run in the cloud by rapidly identifying and removing critical risks. Over 40% of the Fortune 100 trust Wiz’s purpose-built cloud security platform to gain full-stack visibility, accurate risk… Read More »How Wiz is empowering organizations to remediate security risks faster with Amazon Bedrock Shaked Rotlev AWS Machine Learning Blog

​[[{“value”:” At O’Reilly, we’re not just building training materials about AI. We’re also using it to build new kinds of learning experiences. One of the ways we are putting AI to work is our update to Answers. Answers is a generative AI-powered feature that aims… Read More »Answers: Generative AI as Learning Tool Mike Loukides AI & ML – Radar

​[[{“value”:” The vulnerability of AI systems, particularly large language models (LLMs) and multimodal models, to adversarial attacks can lead to harmful outputs. These models are designed to assist and provide helpful responses, but adversaries can manipulate them to produce undesirable or even dangerous outputs. The… Read More »Enhancing AI Safety and Reliability through Short-Circuiting Techniques Shreya Maji Artificial Intelligence Category – MarkTechPost