Microsoft has released Phi-4, a compact and efficient small language model, on Hugging Face under the MIT license. This decision highlights a shift towards transparency and collaboration in the AI ...

Modern NLP applications often demand multi-step reasoning, interaction with external tools, and the ability to adapt dynamically to user queries. Haystack Agents, an innovative feature of the Haystack ...

Traditional psychological counseling, often conducted in person, remains limited to individuals actively seeking help for psychological concerns. In contrast, online automated counseling presents a ...

Smartphones are essential tools in dAIly life. However, the complexity of tasks on mobile devices often leads to frustration and inefficiency. Navigating applications and managing multi-step processes ...

The automation of radiology report generation has become one of the significant areas of focus in biomedical natural language processing. This is driven by the vast and exponentially growing medical ...

Evaluating conversational AI systems powered by large language models (LLMs) presents a critical challenge in artificial intelligence. These systems must handle multi-turn dialogues, integrate ...

Aligning large language models (LLMs) with human values is essential as these models become central to various societal functions. A significant challenge arises when model parameters cannot be ...

Large language models rely heavily on open datasets to train, which poses significant legal, technical, and ethical challenges in managing such datasets. There are uncertainties around the legal ...

Now, let’s look into their latest research on ZKLoRA. In this research, the Bagel Research Team focuses on enabling efficient and secure verification of Low-Rank Adaptation (LoRA) updates for LLMs in ...

Proteins, essential macromolecules for biological processes like metabolism and immune response, follow the sequence-structure-function paradigm, where amino acid sequences determine 3D structures and ...

Reconstructing unmeasured causal drivers of complex time series from observed response data represents a fundamental challenge across diverse scientific domains. Latent variables, including genetic ...

Tokenization, the process of breaking text into smaller units, has long been a fundamental step in natural language processing (NLP). However, it presents several challenges. Tokenizer-based language ...