​[[{“value”:” At the moment, many subfields of computer vision are dominated by large-scale vision models. Newly developed state-of-the-art models for tasks such as semantic segmentation, object detection, and image classification exceed today’s hardware capabilities. These models have stunning performance, but the hefty computational costs mean… Read More »Google Researchers Reveal Practical Insights into Knowledge Distillation for Model Compression Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Introduction to Overfitting and Dropout: Overfitting is a common challenge when training large neural networks on limited data. It occurs when a model performs exceptionally well on training data but fails to generalize to unseen test data. This problem arises because the network’s feature… Read More »Dropout: A Revolutionary Approach to Reducing Overfitting in Neural Networks Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large language models (LLMs) have gained significant attention for their ability to store vast amounts of factual knowledge within their weights during pretraining. This capability has led to promising results in knowledge-intensive tasks, particularly factual question-answering. However, a critical challenge persists: LLMs often generate… Read More »Rethinking QA Dataset Design: How Popular Knowledge Enhances LLM Accuracy? Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​ Design patterns are crucial in software development as they provide proven solutions to common problems. They help in creating code that is more scalable, maintainable, and efficient. This article explores the use of multiple design patterns in the context of MERN (MongoDB, Express.js, React,… Read More »Leveraging Design Patterns in MERN Stack vs. Data Engineering Aaditya Kumar Becoming Human: Artificial Intelligence Magazine – Medium

​[[{“value”:” Self-supervised learning (SSL) has expanded the reach of speech technologies to many languages by minimizing the need for labeled data. However, current models only support 100-150 of the world’s 7,000+ languages. This limitation is largely due to the scarcity of transcribed speech, as only… Read More »CMU Researchers Propose XEUS: A Cross-lingual Encoder for Universal Speech trained in 4000+ Languages Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Generative AI jailbreaking involves crafting prompts that trick the AI into ignoring its safety guidelines, allowing the user to potentially generate harmful or unsafe content the model was designed to avoid. Jailbreaking could enable users to access instructions for illegal activities, like creating weapons… Read More »Microsoft AI Reveals Skeleton Key: A New Type of Generative AI Jailbreak Technique Pragati Jhunjhunwala Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The design and deployment of efficient AI agents have become a critical focus in the LLM world. Recently, Anthropic has highlighted several highly effective design patterns that are being utilized successfully in real-world applications. While discussed in the context of Claude’s models, these patterns… Read More »Top 5 Effective Design Patterns for LLM Agents in Real-world Applications Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large Language Models (LLMs) are rapidly developing with advances in both the models’ capabilities and applications across multiple disciplines. In a recent LinkedIn post, a user discussed recent trends in LLM research, including various types of LLMs and their examples.  Multi-Modal LLMs  With the… Read More »The Next Big Trends in Large Language Model (LLM) Research Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large Language Models (LLMs), trained on vast amounts of data, have shown remarkable abilities in natural language generation and understanding. General-purpose corpora, comprising a diverse range of online text, are utilized for their training, examples of which are Wikipedia and CommonCrawl. Although these universal… Read More »NASA and IBM Researchers Introduce INDUS: A Suite of Domain-Specific Large Language Models (LLMs) for Advanced Scientific Research Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​[[{“value”:” While large language models (LLMs) have been proven to be pivotal in natural language processing (NLP), these models require immense computational resources and time for training, posing a significant and one of the most crucial challenges for researchers and developers. This enormous computational cost… Read More »Spectrum: An AI Method that Accelerates LLM Training by Selectively Targeting Layer Modules based on their Signal-to-Noise Ratio (SNR) Nikhil Artificial Intelligence Category – MarkTechPost