​[[{“value”:” Pretrained language models (LMs) are commonly finetuned to adapt them to new domains or tasks, a process known as finetuning. While finetuning allows for adaptation to various functions with small amounts of in-domain data, it can be prohibitively expensive for large LMs.  Parameter-efficient finetuning… Read More »Researchers at Stanford Propose a Family of Representation Finetuning (ReFT) Methods that Operates on a Frozen Base Model and Learn Task-Specific Interventions on Hidden Representations Mohammad Arshad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The absence of a standardized benchmark for Graph Neural Networks GNNs has led to overlooked pitfalls in system design and evaluation. Existing benchmarks like Graph500 and LDBC need to be revised for GNNs due to differences in computations, storage, and reliance on deep learning… Read More »GNNBench: A Plug-and-Play Deep Learning Benchmarking Platform Focused on System Innovation Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large language models (LLMs) are widely used in search engines to provide natural language responses based on users’ queries. Traditional search engines perform well in retrieving relevant pages but cannot compute the information and present it as a coherent response. LLMs can overcome this… Read More »Harvard Researchers Unveil How Strategic Text Sequences Can Manipulate AI-Driven Search Results Sajjad Ansari Artificial Intelligence Category – MarkTechPost

​[[{“value”:” LLMs are expanding beyond their traditional role in dialogue systems to perform tasks actively in real-world applications.  It is no longer science fiction to imagine that many interactions on the internet will be between LLM-powered systems. Currently, humans verify LLM-generated outputs for correctness before… Read More »Researchers at UC Berkeley Introduce GOEX: A Runtime for LLMs with an Intuitive Undo and Damage Confinement Abstractions, Enabling the Safer Deployment of LLM Agents in Practice Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” As climate change continuously threatens our planet and the existence of life on it, integrating machine learning (ML) and artificial intelligence (AI) into this arena offers promising solutions to predict and mitigate its impacts effectively. Let’s examine how ML contributes to advancing our response… Read More »Exploring the Role of Machine Learning in Climate Change Prediction and Mitigation Adnan Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In the realm of artificial intelligence, the emergence of powerful autoregressive (AR) large language models (LLMs), like the GPT series, has marked a significant milestone. Despite facing challenges such as hallucinations, these models are hailed as substantial strides toward achieving general artificial intelligence (AGI).… Read More »This AI Paper from Peking University and ByteDance Introduces VAR: Surpassing Diffusion Models in Speed and Efficiency Mohammad Arshad Artificial Intelligence Category – MarkTechPost