​[[{“value”:” Large Language Models (LLMs) have been increasingly employed for (interactive) decision-making through the model development of LLM-based agents. LLMs have shown remarkable successes in embodied AI, natural science, and social science applications in recent years. LLMs have also exhibited remarkable potential in solving various… Read More »Do LLM Agents Have Regret? This Machine Learning Research from MIT and the University of Maryland Presents a Case Study on Online Learning and Games Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:”Posted by Urs Köster, Software Engineer, Google Research Time series problems are ubiquitous, from forecasting weather and traffic patterns to understanding economic trends. Bayesian approaches start with an assumption about the data’s patterns (prior probability), collecting evidence (e.g., new time series data), and continuously updating… Read More »AutoBNN: Probabilistic time series forecasting with compositional bayesian neural networks Google AI Google AI Blog

​[[{“value”:” Today, customers of all industries—whether it’s financial services, healthcare and life sciences, travel and hospitality, media and entertainment, telecommunications, software as a service (SaaS), and even proprietary model providers—are using large language models (LLMs) to build applications like question and answering (QnA) chatbots, search… Read More »Advanced RAG patterns on Amazon SageMaker Niithiyn Vijeaswaran AWS Machine Learning Blog

​[[{“value”:” Large language models (LLMs) are generally trained on large publicly available datasets that are domain agnostic. For example, Meta’s Llama models are trained on datasets such as CommonCrawl, C4, Wikipedia, and ArXiv. These datasets encompass a broad range of topics and domains. Although the… Read More »Efficient continual pre-training LLMs for financial domains Yong Xie AWS Machine Learning Blog

​[[{“value”:” From humble beginnings as a university spinoff to an acquisition by the leading global medtech company in its field, Odin Vision has been on an accelerated journey since its founding less than five years ago. An alum of the NVIDIA Inception program for cutting-edge… Read More »Greater Scope: Doctors Get Inside Look at Gut Health With AI-Powered Endoscopy Isha Salian – Archives Page 1 | NVIDIA Blog

​ The Future of AI Conversational Agents Continue reading on Chatbots Life »  The Future of AI Conversational AgentsContinue reading on Chatbots Life »  Read More chatbots, llm, conversational-design, nlu, rags 

​[[{“value”:” Artificial intelligence (AI) has introduced a dynamic shift in various sectors, most notably by deploying autonomous agents capable of independent operation and decision-making. These agents, powered by large language models (LLMs), have significantly broadened the scope of tasks that can be automated, ranging from… Read More »Researchers at Rutgers University Propose AIOS: An LLM Agent Operating System that Embeds Large Language Model into Operating Systems (OS) as the Brain of the OS Adnan Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” With the recent advancements in the field of Machine Learning (ML), Reinforcement Learning (RL), which is one of its branches, has become significantly popular. In RL, an agent picks up skills to interact with its surroundings by acting in a way that maximizes the… Read More »Recall to Imagine (R2I): A New Machine Learning Approach that Enhances Long-Term Memory by Incorporating State Space Models into Model-based Reinforcement Learning (MBRL) Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Accessing and utilizing computer capabilities efficiently is crucial in today’s fast-paced digital world. However, many existing solutions have limitations, such as restricted internet access, limited pre-installed packages, and strict runtime constraints. These constraints hinder users from fully harnessing the potential of language models for… Read More »Meet Open Interpreter: An Open-Source Project that Lets GPT-4 Execute Python Code Locally Niharika Singh Artificial Intelligence Category – MarkTechPost

​[[{“value”:” LLMs have shown remarkable capabilities but are often too large for consumer devices. Smaller models are trained alongside larger ones, or compression techniques are applied to make them more efficient. While compressing models can significantly speed up inference without sacrificing much performance, the effectiveness… Read More »Evaluating LLM Compression: Balancing Efficiency, Trustworthiness, and Ethics in AI-Language Model Development Sana Hassan Artificial Intelligence Category – MarkTechPost