Multi-modal generative models combine diverse data formats such as text, images, and videos to enhance artificial intelligence (AI) applications across various fields. However, the challenges in their optimization, particularly the discord between data and model development approaches, hinder progress. Current methodologies either focus on refining model architectures and algorithms or advancing data processing techniques, limiting…
Artificial Intelligence (AI) has seen considerable progress in the realm of open, generative models, which play a critical role in advancing research and promoting innovation. Despite this, accessibility remains a challenge as many of the latest text-to-audio models are still proprietary, posing a significant hurdle for many researchers.
Addressing this issue head-on, researchers at Stability…
Artificial intelligence (AI) tools have great potential in the field of biomedicine, particularly in the process of segmentation or annotating the pixels of an important structure in a medical image. Segmentation is critical for the identification of possible diseases or anomalies in body organs or cells. However, the challenge lies in the variability of the…
Ductal carcinoma in situ (DCIS), a type of tumor that can develop into an aggressive form of breast cancer, accounts for approximately 25% of all breast cancer diagnoses. DCIS can be challenging for clinicians to accurately categorize, leading to frequent overtreatment for patients. A team of researchers from the Massachusetts Institute of Technology (MIT) and…
Contact centers play a pivotal role in customer service and a crucial part of a company’s marketing strategy, progressively enhancing customer engagement, fostering brand loyalty, and boosting sales through advanced marketing procedures.
Implementing marketing strategies for contact centers is crucial as it aligns to the broader business goals and optimizes revenue opportunities. The first step includes…
Large Language Models (LLMs) like ChatGPT have become widely accepted in various sectors, making it increasingly challenging to differentiate AI-generated content from human-written material. This has raised concerns in scientific research and media, where undetectable AI-generated texts can potentially introduce false information. Studies show that human ability to identify AI-generated content is barely better than…
Scientists from Stanford University and UC Berkeley have developed a new programming interface called LOTUS to process and analyze extensive datasets with AI operations and semantics. LOTUS integrates semantic operators to conduct widescale semantic queries and improve methods such as retrieval-augmentation generation that are used for complex tasks.
The semantic operators in LOTUS enhance the relational…
Arcee AI, known for its innovation in open-source artificial intelligence, has launched Arcee-Nova, which is hailed as a pioneering accomplishment in the AI sector. Arcee-Nova has quickly gained recognition as the highest-performing model within the open-source arena, nearly on par with the performance of GPT-4, a benchmark AI model as of May 2023.
Arcee-Nova is an…
Training Large Language Models (LLMs) has become more demanding as they require an enormous amount of data to function efficiently. This has led to increased computational expenses, making it challenging to reduce training costs without impacting their performance. Conventionally, LLMs are trained using next token prediction, predicting the next token in a sequence. However, Pattern…
Large Language Models (LLMs) are adept at processing textual data, while Vision-and-Language Navigation (VLN) tasks are primarily concerned with visual information. Combining these two data types involves advanced techniques to correctly align textual and visual representations. However, a performance gap remains when applying LLMs to VLN tasks as compared to models specifically designed for navigation,…
As software engineering continues to evolve, a significant focus has been placed on improving code comprehension and software maintenance. An area of particular interest in this domain is automated code documentation, which leans on advanced tools and techniques to enhance software readability and maintainability.
Software maintenance presents a significant challenge due primarily to the high costs…
While artificial intelligence (AI) chatbots like ChatGPT are capable of a variety of tasks, concerns have been raised about their potential to generate unsafe or inappropriate responses. To mitigate these risks, AI labs use a safeguarding method called "red-teaming". In this process, human testers aim to elicit undesirable responses from the AI, informing its development…