​[[{“value”:” This post is co-written with Justin Miles, Liv d’Aliberti, and Joe Kovba from Leidos.  Leidos is a Fortune 500 science and technology solutions leader working to address some of the world’s toughest challenges in the defense, intelligence, homeland security, civil, and healthcare markets. In this… Read More »Large language model inference over confidential data using AWS Nitro Enclaves Chris Renzo AWS Machine Learning Blog

​[[{“value”:” The capabilities of LLMs are advancing rapidly, evidenced by their performance across various benchmarks in mathematics, science, and coding tasks. Concurrently, advancements in Reinforcement Learning from Human Feedback (RLHF) and instruction fine-tuning are aligning LLMs more closely with human preferences. This progress enhances the… Read More »Enhancing Language Model Reasoning with Expert Iteration: Bridging the Gap Through Reinforcement Learning Sana Hassan Artificial Intelligence Category – MarkTechPost

​ Why Bias in LLMs is Unavoidable Continue reading on Becoming Human: Artificial Intelligence Magazine »  Why Bias in LLMs is UnavoidableContinue reading on Becoming Human: Artificial Intelligence Magazine »  Read More large-language-models, bias, cognitive-bias, llm-bias, ai-bias 

​[[{“value”:” The advent of large language models (LLMs) has ushered in a new era in computational linguistics, significantly extending the frontier beyond traditional natural language processing to encompass a broad spectrum of general tasks. Through their deep understanding and generation capabilities, these models can revolutionize… Read More »Chatbot Arena: An Open Platform for Evaluating LLMs through Crowdsourced, Pairwise Human Preferences Adnan Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Recent advancements in large vision-language models (VLMs) have shown promise in addressing multimodal tasks by combining the reasoning capabilities of large language models (LLMs) with visual encoders like ViT. However, despite their strong performance on tasks involving whole images, such as image question answering… Read More »UNC-Chapel Hill Researchers Introduce Contrastive Region Guidance (CRG): A Training-Free Guidance AI Method that Enables Open-Source Vision-Language Models VLMs to Respond to Visual Prompts Mohammad Arshad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” I’ve had a ham radio license since the late 1960s and observed the transition from vacuum tubes (remember them?) to transistors firsthand. Because we’re allowed to operate high power transmitters (1500 watt output), tubes hang on in our world a lot longer than elsewhere.… Read More »Vacuum Tubes and Transistors Mike Loukides AI & ML – Radar

​[[{“value”:” Computer vision researchers often focus on training powerful encoder networks for self-supervised learning (SSL) methods. These encoders generate image representations, but researchers frequently ignore the predictive part of the model after pretraining despite its potential to contain valuable information. This research explores a different… Read More »Unlocking Advanced Vision AI: The Transformative Power of Image World Models and Joint-Embedding Predictive Architectures Vineet Kumar Artificial Intelligence Category – MarkTechPost

​[[{“value”:” When building machine learning (ML) models using preexisting datasets, experts in the field must first familiarize themselves with the data, decipher its structure, and determine which subset to use as features. So much so that a basic barrier, the great range of data formats,… Read More »Google AI Introduces Croissant: A Metadata Format for Machine Learning-Ready Datasets Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Recent studies have highlighted the efficacy of Selective State Space Layers, also known as Mamba models, across various domains, such as language and image processing, medical imaging, and data analysis. These models offer linear complexity during training and fast inference, significantly boosting throughput and… Read More »This Machine Learning Research from Tel Aviv University Reveals a Significant Link between Mamba and Self-Attention Layers Muhammad Athar Ganaie Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Medical artificial intelligence (AI) is rapidly evolving, aiming to harness the vast potential of large language models (LLMs) to revolutionize healthcare delivery. These technological advancements promise to enhance diagnosis accuracy, tailor treatment plans, and unlock access to comprehensive medical knowledge, fundamentally transforming patient care.… Read More »Meet Apollo: Open-Sourced Lightweight Multilingual Medical LLMs towards Democratizing Medical AI to 6B People Adnan Hassan Artificial Intelligence Category – MarkTechPost