Multi-Personality Generation of LLMs at Decoding-time

The article argues that referring to large language models (LLMs) as AI is misleading and can lead to poor decision-making and inflated expectations. It highlights the pervasive hype surrounding AI, particularly on platforms like LinkedIn and Reddit, where exaggerated claims about AI's capabilities are common. This mislabeling can result in wasted resources and a misunderstanding of what LLMs can actually do, emphasizing the need for clearer communication about these technologies.

A new study highlights the importance of optimizing productivity, proactivity, and personalization in real-world agents. Introducing UserVille, an interactive environment with LLM-based user simulators, the research aims to enhance user experience by adapting to diverse preferences.

The article discusses the challenges of serving large generative models like LLMs and multi-modal transformers, emphasizing the need for better autoscaling strategies. It highlights the limitations of current methods that treat models as monoliths, which can lead to performance issues and inefficient resource use.

Recent research highlights the challenges faced by medical chatbots, particularly regarding biases and errors in their responses. While these systems are designed to provide consistent medical advice, factors like demographic information can impact their performance. This study aims to explore the conditions under which these chatbots may fail, emphasizing the need for improved infrastructure to address these issues.

A recent study highlights the potential of merging Continual Pre-training models to enhance domain-specific language models in finance. This approach could provide a more stable and cost-effective solution compared to traditional multi-skill training methods, addressing the unique challenges faced in specialized fields.

MemSearcher is a groundbreaking approach that enhances the efficiency of search agents by managing memory through end-to-end reinforcement learning. Unlike traditional methods that struggle with long contexts, MemSearcher optimizes the interaction history, balancing information retention and computational costs. This innovative workflow promises to improve scalability and performance in search tasks.

This article explores the interactions of LLM-based agents in a hierarchical social environment, inspired by the Stanford Prison Experiment. It analyzes 2,400 conversations among six LLMs to understand potential risks and emergent behaviors as these agents become more autonomous.

This paper explores how well large language models can understand and reason with traditional Indian riddles in seven major languages. By creating a unique dataset that combines classic riddles with contextually adapted versions, the study evaluates the reasoning and self-awareness of five different LLMs, shedding light on their capabilities in culturally rich contexts.

The Databricks Free Edition Hackathon is an exciting opportunity for developers and students to showcase their creativity in data and AI. By providing free access to powerful tools, Databricks is fostering innovation and collaboration worldwide. This initiative not only empowers participants to explore new ideas but also highlights the potential of data-driven solutions in various industries, making it a significant event for the tech community.

Walmart has kicked off the holiday shopping season by unveiling its early Black Friday deals for 2025, showcasing a variety of discounts on popular items like TVs and headphones. This is significant as it gives shoppers a head start on their holiday shopping, allowing them to snag great deals before the rush. With more than 20 sales already live, customers can expect to find substantial savings, making it an exciting time for bargain hunters.

In our latest lab tests, we evaluated eight leading portable power stations from brands like Jackery, Anker, and Bluetti to determine which models stand out in efficiency. This matters because as more people rely on portable power for outdoor activities and emergencies, knowing which products perform best can help consumers make informed choices.

The ongoing federal government shutdown has left hundreds of civilian employees at U.S. Customs and Border Protection (CBP) either unpaid or furloughed for over a month. This situation not only affects the livelihoods of these workers but also raises concerns about the operational capacity of CBP during a critical time. The implications of such a shutdown extend beyond just the employees, impacting border security and immigration processes, which are vital to national interests.

The Philippines is grappling with the aftermath of Typhoon Kalmaegi, which has tragically claimed at least 40 lives and displaced hundreds of thousands. As the nation begins to recover from this devastation, a new tropical system is on the horizon, raising concerns about further challenges ahead. This situation is critical as it highlights the vulnerability of the region to severe weather events and the urgent need for disaster preparedness.

Two former Meta employees have launched a new startup called Sandbar, introducing a unique ring designed for taking voice notes and controlling music. This innovation is part of a growing trend in voice-based hardware aimed at enhancing companionship and productivity. As technology continues to evolve, products like Sandbar's ring could significantly change how we interact with devices, making everyday tasks more seamless and intuitive.