​[[{“value”:” Stochastic optimization problems involve making decisions in environments with uncertainty. This uncertainty can arise from various sources, such as sensor noise, system disturbances, or unpredictable external factors. It can real-time control and planning in robotics and autonomy, where computational efficiency is crucial for handling… Read More »MPPI-Generic: A New C++/CUDA library for GPU-Accelerated Stochastic Optimization Pragati Jhunjhunwala Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large language models (LLMs) have seen remarkable success in natural language processing (NLP). Large-scale deep learning models, especially transformer-based architectures, have grown exponentially in size and complexity, reaching billions to trillions of parameters. However, they pose major challenges in computational resources and memory usage.… Read More »A Systematic Literature Review: Optimization and Acceleration Techniques for LLMs Sajjad Ansari Artificial Intelligence Category – MarkTechPost

​[[{“value”:” With the success of LLMs in various tasks, search engines have begun using generative methods to provide accurate answers with in-line citations to user queries. However, generating reliable and attributable answers, especially in open-ended information-seeking scenarios, poses challenges due to the complexity of questions… Read More »An Extensible Open-Source AI Framework to Benchmark Attributable Information-Seeking Using Representative LLM-based Approaches Pragati Jhunjhunwala Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Automatic speech recognition (ASR) has become a crucial area in artificial intelligence, focusing on the ability to transcribe spoken language into text. ASR technology is widely used in various applications such as virtual assistants, real-time transcription, and voice-activated systems. These systems are integral to… Read More »SummaryMixing: A Linear-Time Complexity Alternative to Self-Attention, to Streaming Speech Recognition with a Streaming and Non-Streaming Conformer Transducer Aswin Ak Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In deep learning, neural network optimization has long been a crucial area of focus. Training large models like transformers and convolutional networks requires significant computational resources and time. Researchers have been exploring advanced optimization techniques to make this process more efficient. Traditionally, adaptive optimizers… Read More »NiNo: A Novel Machine Learning Approach to Accelerate Neural Network Training through Neuron Interaction and Nowcasting Nikhil Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” Comet has unveiled Opik, an open-source platform designed to enhance the observability and evaluation of large language models (LLMs). This tool is tailored for developers and data scientists to monitor, test, and track LLM applications from development to production. Opik offers a comprehensive suite… Read More »Comet Launches Opik: A Comprehensive Open-Source Tool for End-to-End LLM Evaluation, Prompt Tracking, and Pre-Deployment Testing with Seamless Integration Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Language model research has rapidly advanced, focusing on improving how models understand and process language, particularly in specialized fields like finance. Large Language Models (LLMs) have moved beyond basic classification tasks to become powerful tools capable of retrieving and generating complex knowledge. These models… Read More »Collaborative Small Language Models for Finance: Meet The Mixture of Agents MoA Framework from Vanguard IMFS Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The post is co-written with Michael Shaul and Sasha Korman from NetApp. Generative artificial intelligence (AI) applications are commonly built using a technique called Retrieval Augmented Generation (RAG) that provides foundation models (FMs) access to additional data they didn’t have during training. This data… Read More »Build RAG-based generative AI applications in AWS using Amazon FSx for NetApp ONTAP with Amazon Bedrock Kanishk Mahajan AWS Machine Learning Blog

​[[{“value”:” With AI, the demand for high-quality datasets that can support the training & evaluation of models in various domains is increasing. One such milestone is the open-sourcing of the Synthetic-GSM8K-reflection-405B dataset by Gretel.ai, which holds significant promise for reasoning tasks, specifically those requiring multi-step… Read More »Gretel AI Open-Sourced Synthetic-GSM8K-Reflection-405B Dataset: Advancing AI Model Training with Multi-Step Reasoning, Reflection Techniques, and Real-World Problem-Solving Scenarios Asif Razzaq Artificial Intelligence Category – MarkTechPost