​[[{“value”:”Accelerating LLM inference is an important ML research problem, as auto-regressive token generation is computationally expensive and relatively slow, and improving inference efficiency can reduce latency for users. In addition to ongoing efforts to accelerate inference on Apple silicon, we have recently made significant progress… Read More »Accelerating LLM Inference on NVIDIA GPUs with ReDrafter Apple Machine Learning Research

​[[{“value”:” In machine learning, reliable predictions and uncertainty quantification are critical for decision-making, particularly in safety-sensitive domains like healthcare. Model calibration ensures predictions accurately reflect true outcomes, making them robust against extreme over- or underestimation and facilitating trustworthy decision-making. Predictive inference methods, such as Conformal… Read More »Self-Calibrating Conformal Prediction: Enhancing Reliability and Uncertainty Quantification in Regression Tasks Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” A notable aspect of peripheral responses in the animal nervous system is localization, where the linear receptive fields of simple-cell neurons respond to specific, contiguous regions much smaller than their total input domain. However, localization poses a critical challenge in understanding neural information processing… Read More »Mechanisms of Localized Receptive Field Emergence in Neural Networks Sajjad Ansari Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Developers face significant challenges when using foundation models (FMs) to extract data from unstructured assets. This data extraction process requires carefully identifying models that meet the developer’s specific accuracy, cost, and feature requirements. Additionally, developers must invest considerable time optimizing price performance through fine-tuning… Read More »Simplify multimodal generative AI with Amazon Bedrock Data Automation Ian Lodge AWS Machine Learning Blog

​[[{“value”:” The advancements in large language models (LLMs) have created opportunities across industries, from automating content creation to improving scientific research. However, significant challenges remain. High-performing models are often proprietary, restricting transparency and access for researchers and developers. Open-source alternatives, while promising, frequently struggle with… Read More »Technology Innovation Institute TII-UAE Just Released Falcon 3: A Family of Open-Source AI Models with 30 New Model Checkpoints from 1B to 10B Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” TUI Group is one of the world’s leading global tourism services, providing 21 million customers with an unmatched holiday experience in 180 regions. TUI Group covers the end-to-end tourism chain with over 400 owned hotels, 16 cruise ships, 1,200 travel agencies, and 5 airlines… Read More »How TUI uses Amazon Bedrock to scale content creation and enhance hotel descriptions in under 10 seconds Hin Yee Liu AWS Machine Learning Blog

​[[{“value”:” Transformers have become the backbone of deep learning models for tasks requiring sequential data processing, such as natural language understanding, computer vision, and reinforcement learning. These models rely heavily on self-attention mechanisms, enabling them to capture complex relationships within input sequences. However, as tasks… Read More »Researchers from Sakana AI Introduce NAMMs: Optimized Memory Management for Efficient and High-Performance Transformer Models Nikhil Artificial Intelligence Category – MarkTechPost

​The adoption of machine learning (ML) continues at a rapid pace, as it has proven itself a powerful tool for solving many problems. The adoption of machine learning (ML) continues at a rapid pace, as it has proven itself a powerful tool for solving many problems.  Read… Read More »7 Machine Learning Projects For Beginners Jayita Gulati MachineLearningMastery.com

​Our comprehensive benchmark and online leaderboard offer a much-needed measure of how accurately LLMs ground their responses in provided source material and avoid hallucinations Our comprehensive benchmark and online leaderboard offer a much-needed measure of how accurately LLMs ground their responses in provided source material and… Read More »FACTS Grounding: A new benchmark for evaluating the factuality of large language models Google DeepMind Blog

​[[{“value”:” Chemical synthesis is essential in developing new molecules for medical applications, materials science, and fine chemicals. This process, which involves planning chemical reactions to create desired target molecules, has traditionally relied on human expertise. Recent advancements have turned to computational methods to enhance the… Read More »This AI Paper from Microsoft and Novartis Introduces Chimera: A Machine Learning Framework for Accurate and Scalable Retrosynthesis Prediction Nikhil Artificial Intelligence Category – MarkTechPost