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… →

In recent years, formal software verification has gained prominence, especially in fields where software reliability is critical, such as aerospace engineering, finance, and healthcare. Proof assistants like Coq have been instrumental in ensuring the correctness of software by enabling developers to create mathematical proofs to verify their code. However, writing such formal proofs is a… →

The open-source community and developers everywhere are no strangers to the challenges that come with software release management. From maintaining consistency in how releases are handled across different repositories to the tedious and error-prone manual processes involved, releasing new versions of software can be a daunting task. Jupyter, the popular open-source project behind Jupyter Notebook… →

Large Language Models (LLMs) have revolutionized long-context question answering (LCQA), a complex task requiring reasoning over extensive documents to provide accurate answers. While recent long-context LLMs like Gemini and GPT4-128k can process entire documents directly, they struggle with the “lost in the middle” phenomenon, where relevant information in the middle of documents often leads to… →

Knowledge Graph (KG) synthesis is gaining traction in artificial intelligence research because it can construct structured knowledge representations from expansive, unstructured text data. These structured graphs have pivotal applications in areas requiring information retrieval and reasoning, such as question answering, complex data summarization, and retrieval-augmented generation (RAG). KGs effectively link and organize information, enabling models… →

LLMWare.ai, a pioneer in deploying and fine-tuning Small Language Models (SLMs) announced today the launching of Model Depot in Hugging Face, one of the largest collections of SLMs that are optimized for Intel PCs. With over 100 models spanning multiple use cases such as chat, coding, math, function calling, and embedding models, Model Depot aims… →