​[[{“value”:” Reinforcement learning from human feedback RLHF is essential for ensuring quality and safety in LLMs. State-of-the-art LLMs like Gemini and GPT-4 undergo three training stages: pre-training on large corpora, SFT, and RLHF to refine generation quality. RLHF involves training a reward model (RM) based… Read More »Researchers at Google Deepmind Introduce BOND: A Novel RLHF Method that Fine-Tunes the Policy via Online Distillation of the Best-of-N Sampling Distribution Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” This post is a joint collaboration between Salesforce and AWS and is being cross-published on both the Salesforce Engineering Blog and the AWS Machine Learning Blog. Salesforce, Inc. is an American cloud-based software company headquartered in San Francisco, California. It provides customer relationship management… Read More »Boosting Salesforce Einstein’s code generating model performance with Amazon SageMaker Pawan Agarwal AWS Machine Learning Blog

​ Are you curious about how different neural networks stack up against each other? In this blog, we dive into an exciting comparison between Artificial Neural Networks (ANN) and Convolutional Neural Networks (CNN) using the popular CIFAR-10 dataset. We’ll break down the key concepts, architectural… Read More »Comparing ANN and CNN on CIFAR-10: A Comprehensive Analysis Ravjot Singh Becoming Human: Artificial Intelligence Magazine – Medium

​[[{“value”:” DVC.ai has announced the release of DataChain, a revolutionary open-source Python library designed to handle and curate unstructured data at an unprecedented scale. By incorporating advanced AI and machine learning capabilities, DataChain aims to streamline the data processing workflow, making it invaluable for data… Read More »DVC.ai Released DataChain: A Groundbreaking Open-Source Python Library for Large-Scale Unstructured Data Processing and Curation Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The cybersecurity risks, benefits, and capabilities of AI systems are crucial for the security and AI policy. As AI becomes increasingly integrated into various aspects of our lives, the potential for malicious exploitation of these systems becomes a significant threat. Generative AI models and… Read More »Meta AI Release CyberSecEval 3: A Wide-Ranging Evaluation Framework for LLM Security Used in the Development of the Models Pragati Jhunjhunwala Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large Language Models (LLMs) have become significantly popular in the recent times. However, evaluating LLMs on a wider range of tasks can be extremely difficult. Public standards do not always accurately reflect an LLM’s general skills, especially when it comes to performing highly specialized… Read More »Amazon Researchers Propose a New Method to Measure the Task-Specific Accuracy of Retrieval-Augmented Large Language Models (RAG) Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​[[{“value”:” A significant challenge in the field of visual question answering (VQA) is the task of Multi-Image Visual Question Answering (MIQA). This involves generating relevant and grounded responses to natural language queries based on a large set of images. Existing Large Multimodal Models (LMMs) excel… Read More »Visual Haystacks Benchmark: The First “Visual-Centric” Needle-In-A-Haystack (NIAH) Benchmark to Assess LMMs’ Capability in Long-Context Visual Retrieval and Reasoning Aswin Ak Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Multi-target multi-camera tracking (MTMCT) is essential for intelligent transportation systems. Still, it faces challenges in real-world applications due to limited publicly available data and the labor-intensive process of manual annotation. Efficient traffic management has been improved with advancements in computer vision, enabling accurate prediction… Read More »LaMMOn: An End-to-End Multi-Camera Tracking Solution Leveraging Transformers and Graph Neural Networks for Enhanced Real-Time Traffic Management Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Prior to PILOT, fitting linear model trees was slow and prone to overfitting, especially with large datasets. Traditional regression trees struggled to capture linear relationships effectively. Linear model trees faced interpretability challenges when incorporating linear models in leaf nodes. The research emphasized the need… Read More »PILOT: A New Machine Learning Algorithm for Linear Model Trees that is Fast, Regularized, Stable, and Interpretable Shoaib Nazir Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Meta announced the release of Llama 3.1, the most capable model in the LLama Series. This latest iteration of the Llama series, particularly the 405B model, represents a substantial advancement in open-source AI capabilities, positioning Meta at the forefront of AI innovation.  Meta has… Read More »Llama 3.1 Released: Meta’s New Open-Source AI Model that You can Fine-Tune, Distill, and Deploy Anywhere and available in 8B, 70B, and 405B Asif Razzaq Artificial Intelligence Category – MarkTechPost