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”:” 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

The Strategic Use of Sequential Feature Selector for Housing Price Predictions Vinod Chugani MachineLearningMastery.com

[[{“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

Prompt engineering is an iterative procedure that often requires extensive manual efforts to formulate suitable instructions for effectively directing large language models (LLMs) in specific tasks. Incorporating few-shot examples is a vital and efficacious approach to provide LLMs with precise and tangible instructions, leading to… Read More »APE: Active Prompt Engineering – Identifying Informative Few-Shot Examples for LLMs Apple Machine Learning Research

Recent large language models (LLMs) advancements sparked a growing research interest in tool assisted LLMs solving real-world challenges, which calls for comprehensive evaluation of tool-use capabilities. While previous works focused on either evaluating over stateless web services (RESTful API), based on a single turn user… Read More »ToolSandbox: A Stateful, Conversational, Interactive Evaluation Benchmark for LLM Tool Use Capabilities Apple Machine Learning Research

[[{“value”:” Traditional molecular representations, primarily focused on covalent bonds, have neglected crucial aspects like delocalization and non-covalent interactions. Existing machine learning models have utilized information-sparse representations, limiting their ability to capture molecular complexity. While computational chemistry has developed robust quantum-mechanical methods, their application in machine… Read More »Integrating Stereoelectronic Effects into Molecular Graphs: A Novel Approach for Enhanced Machine Learning Representations and Molecular Property Predictions Shoaib Nazir Artificial Intelligence Category – MarkTechPost

[[{“value”:” Deep learning has revolutionized various domains, with Transformers emerging as a dominant architecture. However, Transformers must improve the processing of lengthy sequences due to their quadratic computational complexity. Recently, a novel architecture named Mamba has shown promise in building foundation models with comparable abilities… Read More »Revolutionizing AI with Mamba: A Survey of Its Capabilities and Future Directions Shreya Maji Artificial Intelligence Category – MarkTechPost

[[{“value”:” Knowledge Distillation (KD) has become a key technique in the field of Artificial Intelligence, especially in the context of Large Language Models (LLMs), for transferring the capabilities of proprietary models, like GPT-4, to open-source alternatives like LLaMA and Mistral. In addition to improving the… Read More »Understanding Language Model Distillation Tanya Malhotra Artificial Intelligence Category – MarkTechPost

[[{“value”:” Data analysis has become increasingly accessible due to the development of large language models (LLMs). These models have lowered the barrier for individuals with limited programming skills, enabling them to engage in complex data analysis through conversational interfaces. LLMs have opened new avenues for… Read More »WaitGPT: Enhancing Data Analysis Accuracy by 83% with Real-Time Visual Code Monitoring and Error Detection in LLM-Powered Tools Asif Razzaq Artificial Intelligence Category – MarkTechPost

[[{“value”:” Andrej Karpathy coined a new term, ‘Jagged Intelligence‘. ‘Jagged Intelligence‘ refers to modern AI systems’ peculiar and often counterintuitive nature, particularly large language models (LLMs). These models have demonstrated remarkable capabilities in performing complex tasks, from solving intricate mathematical problems to generating coherent and… Read More »Andrej Karpathy Coined a New Term ‘Jagged Intelligence’: Understanding the Inconsistencies in Advanced AI Asif Razzaq Artificial Intelligence Category – MarkTechPost

[[{“value”:” A key goal in the development of AI is the creation of general-purpose assistants utilizing Large Multimodal Models (LMMs). Building AI systems that can work in tandem with people in various settings and with a wide variety of jobs is central to the general-purpose… Read More »LLaVA-OneVision: A Family of Open Large Multimodal Models (LMMs) for Simplifying Visual Task Transfer Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost