​[[{“value”:” After the introduction of ChatGPT, many generative AI applications have adopted the Retrieval Augmented Generation (RAG) pattern, focusing on the variation of a chat over a collection of documents. Currently, the focus is to make RAG systems more robust and shape the next generation… Read More »Single Agent Architectures (SSAs) and Multi-Agent Architectures (MAAs): Achieving Complex Goals, Including Enhanced Reasoning, Planning, and Tool Execution Capabilities Sajjad Ansari Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Softwares are developed through a series of iterative steps, including editing, unit testing, fixing build errors, and code reviews until the product is good enough to be added to a repository. GoogleAI researchers introduced DIDACT (​​Dynamic Integrated Developer ACTivity) to enhance developers’ experience of… Read More »This AI Research from Google Explains How They Trained a DIDACT Machine Learning ML Model to Predict Code Build Fixes Pragati Jhunjhunwala Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Different training platforms have emerged to cater to diverse needs and constraints in the rapidly evolving machine learning (ML) field. Explore key training platforms: Cloud, Central, Federated Learning, On-Device ML, and other emerging techniques, examining their strengths, use cases, and prospects. Cloud and Centralized… Read More »Exploring Model Training Platforms: Comparing Cloud, Central, Federated Learning, On-Device Machine Learning ML, and Other Techniques Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Improving comprehension and interaction capabilities of Large Language Models (LLMs) with video content is a major area of ongoing research and development. A major achievement in this field is Pegasus-1, which is a state-of-the-art multimodal model that can comprehend, synthesise, and interact with video… Read More »Twelve Labs Introduces Pegasus-1: A Multimodal Language Model Specialized in Video Content Understanding and Interaction through Natural Language Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large Language Models (LLMs) have transformed numerous AI applications, but they come with high operational costs during inference phases due to the computational power they require. Efficiency in LLMs remains a primary challenge as their size and complexity increase. The key issue is the… Read More »CATS (Contextually Aware Thresholding for Sparsity): A Novel Machine Learning Framework for Inducing and Exploiting Activation Sparsity in LLMs Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large capacity models, such as Large Language Models (LLMs) and Large Multi-modal Models (LMMs), have demonstrated effectiveness across various domains and tasks. Scaling up these models by increasing parameter count enhances performance but significantly reduces inference speed, limiting practicality. Sparse Mixtures of Experts (SMoE)… Read More »Enhancing AI Model’s Scalability and Performance: A Study on Multi-Head Mixture-of-Experts Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The probabilistic machine learning class, generative models, has many uses in different domains, including the visual and performing arts, the medical industry, and even physics. To generate new samples that are similar to the original data, generative models are very good at building probability… Read More »Neural Flow Diffusion Models (NFDM): A Novel Machine Learning Framework that Enhances Diffusion Models by Supporting a Broader Range of Forward Processes Beyond the Fixed Linear Gaussian Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Snowflake AI Research has launched the Arctic, a cutting-edge open-source large language model (LLM) specifically designed for enterprise AI applications, setting a new standard for cost-effectiveness and accessibility. This model leverages a unique Dense-MoE Hybrid transformer architecture to handle SQL generation, coding, and following… Read More »Snowflake AI Research Team Unveils Arctic: An Open-Source Enterprise-Grade Large Language Model (LLM) with a Staggering 480B Parameters Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Speaker diarization, an essential process in audio analysis, segments an audio file based on speaker identity. This post delves into integrating Hugging Face’s PyAnnote for speaker diarization with Amazon SageMaker asynchronous endpoints. We provide a comprehensive guide on how to deploy speaker segmentation and… Read More »Deploy a Hugging Face (PyAnnote) speaker diarization model on Amazon SageMaker as an asynchronous endpoint Sanjay Tiwary AWS Machine Learning Blog

​[[{“value”:” Organizations across industries are using automatic text summarization to more efficiently handle vast amounts of information and make better decisions. In the financial sector, investment banks condense earnings reports down to key takeaways to rapidly analyze quarterly performance. Media companies use summarization to monitor… Read More »Evaluate the text summarization capabilities of LLMs for enhanced decision-making on AWS Dinesh Subramani AWS Machine Learning Blog