​[[{“value”:” Artificial Intelligence (AI) has revolutionized numerous industries, from healthcare to finance. It empowers machines to learn from data, make intelligent decisions, and solve complex problems. Let’s understand a fundamental technique in AI, Artificial Intelligence (AI) clustering. As the term “clustering” suggests, it involves grouping… Read More »What is Artificial Intelligence Clustering? Pragati Jhunjhunwala Artificial Intelligence Category – MarkTechPost

​[[{“value”:” As the world is evolving towards a personal digital experience, recommendation systems, while being a must, from e-commerce to media streaming, fail to simulate users’ preferences to make better recommendations. Conventional models do not capture the subtlety of reasons behind user-item interactions thus generalized… Read More »Knowledge Graph Enhanced Language Agents (KGLA): A Machine Learning Framework that Unifies Language Agents and Knowledge Graph for Recommendation Systems Aswin Ak Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The rise of large language models has been accompanied by significant challenges, particularly around ensuring the factuality of generated responses. One persistent issue is that these models can produce outputs that are factually incorrect or even misleading, a phenomenon often called “hallucination.” These hallucinations… Read More »OpenAI Releases SimpleQA: A New AI Benchmark that Measures the Factuality of Language Models Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Transformer-based architectures have revolutionized natural language processing, delivering exceptional performance across diverse language modeling tasks. However, they still face major challenges when handling long-context sequences. The self-attention mechanism in Transformers suffers from quadratic computational complexity, and their memory requirement grows linearly with context length… Read More »Taipan: A Novel Hybrid Architecture that Combines Mamba-2 with Selective Attention Layers (SALs) Sajjad Ansari Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Understanding and analyzing long videos has been a significant challenge in AI, primarily due to the vast amount of data and computational resources required. Traditional Multimodal Large Language Models (MLLMs) struggle to process extensive video content because of limited context length. This challenge is… Read More »Meta AI Releases LongVU: A Multimodal Large Language Model that can Address the Significant Challenge of Long Video Understanding Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Preserving and taking advantage of institutional knowledge is critical for organizational success and adaptability. This collective wisdom, comprising insights and experiences accumulated by employees over time, often exists as tacit knowledge passed down informally. Formalizing and documenting this invaluable resource can help organizations maintain… Read More »Unlock organizational wisdom using voice-driven knowledge capture with Amazon Transcribe and Amazon Bedrock Jundong Qiao AWS Machine Learning Blog

​[[{“value”:” Global Resiliency is a new Amazon Lex capability that enables near real-time replication of your Amazon Lex V2 bots in a second AWS Region. When you activate this feature, all resources, versions, and aliases associated after activation will be synchronized across the chosen Regions.… Read More »Achieve multi-Region resiliency for your conversational AI chatbots with Amazon Lex Sanjeet Sanda AWS Machine Learning Blog

​[[{“value”:” Sentence transformers are powerful deep learning models that convert sentences into high-quality, fixed-length embeddings, capturing their semantic meaning. These embeddings are useful for various natural language processing (NLP) tasks such as text classification, clustering, semantic search, and information retrieval. In this post, we showcase… Read More »Create and fine-tune sentence transformers for enhanced classification accuracy Kara Yang AWS Machine Learning Blog

​[[{“value”:” In recent years, text-to-speech (TTS) technology has made significant strides, yet numerous challenges still remain. Autoregressive (AR) systems, while offering diverse prosody, tend to suffer from robustness issues and slow inference speeds. Non-autoregressive (NAR) models, on the other hand, require explicit alignment between text… Read More »MaskGCT: A New Open State-of-the-Art Text-to-Speech Model Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Machine learning for predictive modeling aims to forecast outcomes based on input data accurately. One of the primary challenges in this field is “domain adaptation,” which addresses differences between training and application scenarios, especially when models face new, varied conditions after training. This challenge… Read More »This AI Paper Explores How Large Language Model Embeddings Enhance Adaptability in Predictive Modeling for Shifting Tabular Data Environments Sana Hassan Artificial Intelligence Category – MarkTechPost