A task that has grasped the attention of the AI community recently is that of visual question answering. This article will explore the problem of visual question answering, different approaches to solve it, ass
Maintainability: Weighing the benefits of a sophisticated system against the challenges of maintaining it. Cost vs. Benefit: Evaluating the return on investment for using LLMs. 8. Setup Prerequisites Python 3.10+ OpenAI API key Tavily API key Install required packages: pip install -r requirements....
synthesisercan be developed based on a single speaker. The core research challenges (e.g. multiple speakers, ambient noise, different dialects, etc.) in ASR are not the focus of this paper. The main focus is on the interface between a speech recogniser and a QA system. It has to be ...
The rapid growth of semantic information published on the Web, in particular through the linked data initiative [5], poses new challenges when supporting users to query these large amounts of heterogeneous and structured semantic data using natural language interfaces. This led to the rise of ontol...
Time for a question...I do want to encourage everybody to take our Solid Edge planning survey that is posted in this forum. If you don't take it, you can't complain down the road. Hah! ;-)Expand Post
Due to the unique challenges of the medical field, including the direct impact on patients’ health and wellbeing, there is a strong need for models to be accessible to the broader research and development community in order to ensure bias minimization and safety enhancements in models, ...
science and the more applied fields. Although the covered examples may not match the reader’s research area of interest, we believe the operationalizations in the examples can inspire other studies wrestling with similar operationalization challenges....
1. Purpose of Project This project implements an advanced Retrieval Augmented Generation (RAG) workflow chatbot to enhance question-answering accuracy and reduce LLM hallucinations. It leverages LangGraph to create a stateful, multi-step process that includes document retrieval, relevance grading, and we...
We summarize the main challenges as follows: LLMs currently have significant shortcomings in understanding temporal expressions (Chu et al., 2023), crucial for TKGQA. LLMs also perform poorly in symbolic temporal reasoning, especially in multi-step tasks (Chu et al., 2023; Tan et al., 2023...
1. Terraform’s Rising Challenges Terraform has undoubtedly been a game-changer in infrastructure management, but as organizations scale their operations and the complexity of infrastructure grows, challenges begin to emerge. Scalability Issues One of the primary hurdles is scalability. As infrastructure ...