MicroRNAs (miRNAs) play key roles in human diseases, including cancer and infectious diseases, by regulating gene expression. Modulating miRNAs or their gene targets with small molecules present a potential therapeutic approach for correcting disease-related cellular dysfunctions. However, predicting effective small molecules for specific miRNAs is difficult due to limited data on miRNA-small molecule interactions. Although…
In a data-driven world, privacy and security have become pressing concerns for individuals and organizations alike. With data breaches and information misuse becoming alarmingly frequent, safeguarding sensitive information is critical. Among the most challenging aspects of data protection is managing Personally Identifiable Information (PII), such as names, addresses, and social security numbers, which are highly…
Retrieval-augmented generation (RAG) systems, a key area of research in artificial intelligence, aim to enhance large language models (LLMs) by incorporating external sources of information for generating responses. This approach is particularly valuable in fields requiring accurate, fact-based answers, such as question-answering or information retrieval tasks. Yet, these systems often encounter substantial challenges in filtering…
The rise of AI-assisted coding has undoubtedly revolutionized software development, but not without its challenges. One of the main pain points for developers has been the lack of choice and flexibility in selecting AI models that best suit their unique needs. GitHub Copilot, which emerged as a groundbreaking tool for code generation and assistance, has…
Multimodal large language models (MLLMs) rapidly evolve in artificial intelligence, integrating vision and language processing to enhance comprehension and interaction across diverse data types. These models excel in tasks like image recognition and natural language understanding by combining visual and textual data processing into one coherent framework. This integrated approach allows MLLMs to perform highly…
Retrieval-Augmented Generation (RAG) is a framework that enhances language models by combining two main components: Retriever and Generator. A RAG pipeline combines the retriever and generator in an iterative process and is widely used in open-domain question-answer, knowledge-based chatbots, and specialized information retrieval tasks where the accuracy and relevance of real-world data are crucial. Despite…
SQL, the Structured Query Language, is a cornerstone skill for anyone working with data. To master this powerful language, consistent practice is crucial. We present a curated list of 12 top-notch platforms that offer a variety of SQL exercises and challenges to help you hone your SQL skills. Whether you’re a beginner or an experienced…
Data Selection for domain-specific art is an intricate craft, especially if we want to get the desired results from Language Models. Until now, researchers have focused on creating diverse datasets across tasks, which has proved helpful for general-purpose training. However in domain and task-specific fine-tuning where data is relevant, current methods prove ineffective where they…
Python is a high-level, flexible programming language that is well-known for its extensive ecosystem, ease of use, and readability. Python’s vast libraries and frameworks offer advanced capabilities for seasoned developers, and its simple syntax and readability make it a good language. Numerous domains, such as web development, data research, machine learning, automation, and scientific computing,…
Web command injection attacks pose a critical security risk to web applications, often resulting in server information leaks or severe disruptions. As these attacks become increasingly complex and obfuscated, traditional detection methods struggle to identify malicious code and extract relevant features effectively. Recent incidents highlight the prevalence of such vulnerabilities, with attackers exploiting command injection…