Multimodal large language models (MLLMs) are cutting-edge innovations in artificial intelligence that combine the capabilities of language and vision models to handle complex tasks such as visual question answering & image captioning. These models utilize large-scale pretraining, integrating multiple data modalities to enhance their performance significantly across various applications. The integration of language and vision… →
Machine Translation (MT) is a significant field within Natural Language Processing (NLP) that focuses on automatically translating text from one language to another. This technology leverages large language models (LLMs) to understand and generate human languages, facilitating communication across linguistic boundaries. MT aims to bridge global communication gaps by continuously improving translation accuracy supporting multilingual… →
Large Language Models (LLMs) are stepping into clinical and medical fields as they grow in capability and versatility. These models have a number of benefits, including the capacity to supplement or even replace the work that doctors typically do. This include providing medical information, keeping track of patient information, and holding consultations with patients. In… →
CONCLUSION: Compared with no intervention, IoT-based home RMT may be a more beneficial intervention for patients with COPD. →
CONCLUSION: The self-help guide, and how it was designed, added no value to the TAC. Future research should focus on more bottom-up, customized support and explore what (different subgroups of) participants think they need as extra support during a TAC. →
The rapid growth of large language models (LLMs) has catalyzed the development of numerous NLP applications, such as chatbots, writing assistants, and programming aids. However, these applications often require unlimited input length and robust memory capabilities, which current LLMs lack. Extending pre-training text length is impractical, necessitating research into enabling LLMs to handle infinite input… →
Recently, Meta has been at the forefront of Open Source LLMs with its Llama series. Following the success of Llama 2, Meta has introduced Llama 3, which promises substantial improvements and new capabilities. Let’s delve into the advancements from Llama 2 to Llama 3, highlighting the key differences and what they mean for the AI… →
CONCLUSIONS: As a minimally invasive treatment, LHP is easy and not traumatic and results in mild postoperative pain and few complications. It is an ideal choice for grade II hemorrhoids. →
Managing and deploying Retrieval-Augmented Generation (RAG) systems has recently become a significant challenge, especially when moving from experimental setups to production environments. While tools like Langchain and LlamaIndex offer convenient abstractions for initial development and prototyping, they often need to catch up regarding modularity, scalability, and extensibility required for production. As a result, organizations need… →