Large Language Models (LLMs) have been at the forefront of advancements in natural language processing (NLP), demonstrating remarkable abilities in understanding and generating human language. However, their capability for complex reasoning, vital for many applications, remains a critical challenge. Aiming to enhance this element, the research community, specifically a team from Renmin University of China…
In the world of computational models for visual data processing, there remains a consistent pursuit for models that merge efficiency with the capability to manage large-scale, high-resolution datasets. Traditional models have often grappled with scalability and computational efficiency, particularly when used for high-resolution image and video generation. Much of this challenge arises from the quadratic…
"Text mining" refers to the discovery of new patterns and insights within large amounts of textual data. Two essential activities in text mining are the creation of a taxonomy - a collection of structured, canonical labels that characterize features of a corpus - and text classification, which assigns labels to instances within the corpus according…
Jailbreak attacks aim to identify and address security vulnerabilities in Language Models (LLMs) by bypassing their safety protocols. Despite significant advancements in LLMs, particularly in the area of natural language processing, they remain prone to such attacks. Given the increasing sophistication of new jailbreak techniques, the need for robust defense methodologies has grown. These methods,…
Researchers from IBM Research have developed a new architecture, dubbed Alignment Studio, which enables developers to mould large language models (LLMs) to fit specific societal norms, laws, values and regulations. The system is designed to mitigate ongoing challenges in the artificial intelligence (AI) sector surrounding issues such as hate speech and inappropriate language.
While efforts…
Researchers from Tsinghua University and Microsoft Corporation have unveiled a groundbreaking study known as LLMLingua-2, as part of a collaborative effort that reinforces the cruciality of interdisciplinary research. The study primarily focuses on improving the efficiency of language models, which play a pivotal role in ensuring fluent communication between humans and machines. The core challenge…
Researchers from HyperGAI have developed a ground-breaking new multimodal language learning model (LLMs) known as Hyper Pretrained Transformers (HPT) that can proficiently handle and process seamlessly, a wide array of input modalities, such as text, images, and videos. Existing LLMs, like GPT-4V and Gemini Pro, have limitations in comprehending multimodal data, which hinders progress towards…
The field of artificial intelligence (AI) has significantly advanced with the development of Large Language Models (LLMs) such as GPT-3 and GPT-4. Developed by research institutions and tech giants, LLMs have shown great promise by excelling in various reasoning tasks, from solving complex math problems to understanding natural language nuances. However, despite their notable accomplishments,…
Language models such as GPT-3 have demonstrated impressive general knowledge and understanding. However, they have limitations when required to handle specialized, niche topics. Therefore, a deeper domain knowledge is necessary for effectively researching specific subject matter. This can be equated to asking a straight-A high school student about quantum physics. They might be smart, but…
In the field of Natural Language Processing (NLP), optimizing the Retrieval-Augmented Generation (RAG) pipeline often presents a significant challenge. Developers strive to strike the right balance among various components such as large language models (LLMs), embeddings, query transformations, and re-rankers in order to achieve optimal performance. With a lack of effective guidance and user-friendly tools,…
Open foundation models like BERT, CLIP, and Stable Diffusion signify a new era in the technology space, particularly in artificial intelligence (AI). They provide free access to model weights, enhancing customization, and accessibility. While this development brings benefits to innovation and research, it also introduces fresh risks and potential misuse, which has initiated a critical…