​[[{“value”:” Large language models (LLMs) have gained significant capabilities, reaching GPT-4 level performance. However, deploying these models for applications requiring extensive context, such as repository-level coding and hour-long video understanding, poses substantial challenges. These tasks demand input contexts ranging from 100K to 10M tokens, a… Read More »A Concurrent Programming Framework for Quantitative Analysis of Efficiency Issues When Serving Multiple Long-Context Requests Under Limited GPU High-Bandwidth Memory (HBM) Regime Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” ChatGPT and other generative AI-powered tools have become indispensable in today’s business landscape. They offer various advantages that help businesses stay ahead of the competition, increase productivity, and improve their bottom line. Here are the top 10 ChatGPT use cases that professionals, CxOs, and… Read More »Top 10 Use Cases of ChatGPT Aswin Ak Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Language modeling in artificial intelligence focuses on developing systems that can understand, interpret, and generate human language. This field encompasses various applications, such as machine translation, text summarization, and conversational agents. Researchers aim to create models that mimic human language abilities, allowing for seamless… Read More »Memory3: A Novel Architecture for LLMs that Introduces an Explicit Memory Mechanism to Improve Efficiency and Performance Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Udacity offers comprehensive courses on AI designed to equip learners with essential skills in artificial intelligence. These courses cover foundational topics such as machine learning algorithms, deep learning architectures, natural language processing (NLP), computer vision, reinforcement learning, and AI ethics. With hands-on projects and… Read More »Top AI/Machine Learning/Data Science Courses from Udacity Shobha Kakkar Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Function-calling agent models, a significant advancement within large language models (LLMs), face the challenge of requiring high-quality, diverse, and verifiable datasets. These models interpret natural language instructions to execute API calls, which are critical for real-time interactions with various digital services. However, existing datasets… Read More »Salesforce AI Research Unveils APIGen: Automated Pipeline for Generating Verifiable and Diverse Function-Calling Datasets Aswin Ak Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The rise of generative AI (GenAI) technologies presents enterprises with a pivotal decision: should they buy a ready-made solution or build a custom one? This decision hinges on several critical factors, each influencing the investment’s outcome and the solution’s effectiveness. Below are the top… Read More »Top 5 Factors to Consider Whether To Buy or Build Generative AI Solutions Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“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