[[{“value”:” Home Table of Contents How to Use ‘tf.GradientTape’ Configuring Your Development Environment Introduction What Is tf.GradienTape? Simple Example of tf.GradienTape Image Classification with the COCO Dataset Prepare the Dataset Define the Model Train the Model Using model.fit Custom Training Loop with tf.GradientTape Summary Citation… Read More »How to Use ‘tf.GradientTape’ Hector Martinez PyImageSearch
[[{“value”:” Machine learning (ML) has become a buzzword in recent years, with applications ranging from voice assistants to self-driving cars. Yet, for many, the inner workings of these technologies remain a mystery. Podcasts offer a great way to learn about this field without getting overwhelmed.… Read More »5 Free Podcasts That Demystify Machine Learning Concepts Nahla Davies MachineLearningMastery.com
[[{“value”:” In this tutorial, we will explore Retrieval-Augmented Generation (RAG) and the LlamaIndex AI framework. We will learn how to use LlamaIndex to build a RAG-based application for Q&A over the private documents and enhance the application by incorporating a memory buffer. This will enable… Read More »Building a Simple RAG Application Using LlamaIndex Abid Ali Awan MachineLearningMastery.com
[[{“value”:” In software engineering, detecting vulnerabilities in code is a crucial task that ensures the security & reliability of software systems. If left unchecked, vulnerabilities can lead to significant security breaches, compromising the integrity of software and the data it handles. Over the years, the… Read More »VulScribeR: A Large Language Model-Based Approach for Generating Diverse and Realistic Vulnerable Code Samples Nikhil Artificial Intelligence Category – MarkTechPost
[[{“value”:” Large Language Models (LLMs) have gained significant attention for their versatility, but their factualness remains a critical concern. Studies have revealed that LLMs can produce nonfactual, hallucinated, or outdated information, undermining reliability. Current evaluation methods, such as fact-checking and fact-QA, face several challenges. Fact-checking… Read More »Apple Researchers Present KGLens: A Novel AI Method Tailored for Visualizing and Evaluating the Factual Knowledge Embedded in LLMs Mohammad Asjad Artificial Intelligence Category – MarkTechPost
[[{“value”:” Multimodal Language Models MLLMs architectures have evolved to enhance text-image interactions through various techniques. Models like Flamingo, IDEFICS, BLIP-2, and Qwen-VL use learnable queries, while LLaVA and MGM employ projection-based interfaces. LLaMA-Adapter and LaVIN focus on parameter-efficient tuning. Dataset quality significantly impacts MLLM effectiveness,… Read More »Img-Diff: A Novel Dataset for Enhancing Multimodal Language Models through Contrastive Learning and Image Difference Analysis Shoaib Nazir Artificial Intelligence Category – MarkTechPost
[[{“value”:” Visual Simultaneous Localization and Mapping (SLAM) is a critical technology in robotics and computer vision that allows real-time state estimation for various applications. SLAM has become important for monocular depth estimation, view synthesis, and 3D human pose reconstruction tasks. However, these tasks face a… Read More »Deep Patch Visual (DPV) SLAM: A New Artificial Intelligence AI Method for Monocular Visual SLAM on a Single GPU Sajjad Ansari Artificial Intelligence Category – MarkTechPost
[[{“value”:” Artificial intelligence, particularly natural language processing (NLP), has become a cornerstone in advancing technology, with large language models (LLMs) leading the charge. These models, such as those used for text summarization, automated customer support, and content creation, are designed to interpret and generate human-like… Read More »IBM Research Introduced Conversational Prompt Engineering (CPE): A GroundBreaking Tool that Simplifies Prompt Creation with 67% Improved Iterative Refinements in Just 32 Interaction Turns Nikhil Artificial Intelligence Category – MarkTechPost
[[{“value”:” Audio, as a medium, holds immense potential for conveying complex information, making it essential for developing systems that can accurately interpret & respond to audio inputs. The field aims to create models that can comprehend a wide range of sounds, from spoken language to… Read More »Qwen2-Audio Released: A Revolutionary Audio-Language Model Overcoming Complex Audio Challenges with Unmatched Precision and Versatile Interaction Capabilities Asif Razzaq Artificial Intelligence Category – MarkTechPost
[[{“value”:” To understand housing prices better, simplicity and clarity in our models are key. Our aim with this post is to demonstrate how straightforward yet powerful techniques in feature selection and engineering can lead to creating an effective, simple linear regression model. Working with the… Read More »The Strategic Use of Sequential Feature Selector for Housing Price Predictions Vinod Chugani MachineLearningMastery.com