​[[{“value”:” In the digital age, creating AI applications can be complex and time-consuming. Many businesses struggle to develop AI bots or agents that can efficiently handle tasks and answer questions. Existing solutions often require extensive coding knowledge and lack flexibility, making them inaccessible to many.… Read More »create-tsi: A Generative AI RAG Toolkit that Generates AI Applications using LlamaIndex with Low Code Niharika Singh Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Developing and enhancing models capable of efficiently managing extensive sequential data is paramount in modern computational fields. This necessity is particularly critical in natural language processing, where models must process long text streams seamlessly, retaining context without compromising processing speed or accuracy. One of… Read More »Megalodon: A Deep Learning Architecture for Efficient Sequence Modeling with Unlimited Context Length Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The finance industry, particularly the credit card sector, is undergoing a rapid transformation driven by artificial intelligence (AI) advancements. As technology evolves, AI is reshaping how credit card companies operate, from enhancing customer service to redefining security protocols. Let’s explore the multifaceted impacts of… Read More »The Future of Finance: How AI is Transforming Credit Card Companies Adnan Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In a world where online privacy and data security are major concerns, people often seek ways to access information without compromising their personal information. Traditional search engines require users to trade their privacy for convenience, as they collect data on user queries and behaviors.… Read More »FreeAskInternet: A Free, Private, and Locally Running Search Aggregator and Answer Generate Using Multi LLMs without GPU Needed Niharika Singh Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Language models are the backbone of modern artificial intelligence systems, enabling machines to understand and generate human-like text. These models, which process and predict language, are critical for various applications, from automated translation services to interactive chatbots. However, developing these models presents significant challenges,… Read More »Google DeepMind Releases RecurrentGemma: One of the Strongest 2B-Parameter Open Language Models Designed for Fast Inference on Long Qequences Adnan Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Diffusion models are sophisticated AI technologies demonstrating significant success across fields such as computer vision, audio, reinforcement learning, and computational biology. They excel in generating new samples by modeling high-dimensional data flexibly and adjusting properties to meet specific tasks. Methods in generative AI, like… Read More »This AI Paper Explores the Theoretical Foundations and Applications of Diffusion Models in AI Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The fields of Artificial Intelligence (AI) and Deep Learning have experienced significant growth in recent times. Following deep learning’s domination, the Transformer architecture has become a powerhouse, demonstrating exceptional performance in a variety of downstream tasks as well as pre-trained big models.  However, for… Read More »A Detailed AI Study on State Space Models: Their Benefits and Characteristics along with Experimental Comparisons Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large models like BERT, GPT-3, and T5 boast billions of parameters and extensive training data, enabling them to discern intricate patterns and yield high accuracy. However, their widespread use raises privacy concerns regarding the unauthorized exposure of sensitive user information. Machine unlearning emerges as… Read More »LMEraser: A Novel Machine Unlearning Method for Large Models Ensuring Privacy and Efficiency Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Researchers have recently seen a surge of interest in image-and-language representation learning, aiming to capture the intricate relationship between visual and textual information. Among all the Contrastive Language-Image Pre-Training (CLIP) frameworks, it has emerged as a promising approach, demonstrating state-of-the-art performance across various tasks… Read More »Navigating the Landscape of CLIP: Investigating Data, Architecture, and Training Strategies Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Migrating to the cloud is an essential step for modern organizations aiming to capitalize on the flexibility and scale of cloud resources. Tools like Terraform and AWS CloudFormation are pivotal for such transitions, offering infrastructure as code (IaC) capabilities that define and manage complex… Read More »Generate customized, compliant application IaC scripts for AWS Landing Zone using Amazon Bedrock Ebbey Thomas AWS Machine Learning Blog