HyperGAI researchers have developed Hyper Pretrained Transformers (HPT) a multimodal language model that can handle different types of inputs such, as text, images, videos, and more. Traditional LLMs have achieved satisfactory results with text data but have a limited...

In a collaborative effort that underscores the importance of interdisciplinary research, Tsinghua University and Microsoft Corporation researchers have unveiled LLMLingua-2. This groundbreaking study delves into language model efficiency, aiming to streamline...

Aligning large language models (LLMs) involves tuning them to desired behaviors, termed ‘civilizing’ or ‘humanizing.’ While model providers aim to mitigate common harms like hate speech and toxicity, comprehensive alignment is challenging due to diverse contextual...

Data scientists and engineers frequently collaborate on machine learning ML tasks, making incremental improvements, iteratively refining ML pipelines, and checking the model’s generalizability and robustness. There are major worries about data traceability and...

To meet the significantly growing need for more effective data storage options amid the swift development of interactive web apps and services, a team of researchers from Microsoft has released Garnet, an open-source cache-store system. Though traditional cache-store...

Jailbreak attacks are vital for uncovering and addressing security flaws in LLMs, as they aim to bypass protective measures and produce prohibited outputs. However, the absence of a standardized framework for implementing these attacks hampers thorough security...