​[[{“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

​[[{“value”:” RGB-D cameras have a difficult time accurately capturing the depth of transparent objects because of the optical effects of reflection and refraction. Because of this, the depth maps these cameras produce frequently contain inaccurate or missing information. To overcome this problem, recent research has… Read More »DistillGrasp: A Unique AI Method for Integrating Features Correlation with Knowledge Distillation for Depth Completion of Transparent Objects Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large Language Models (LLMs) have demonstrated exceptional performance on isolated code tasks, such as HumanEval and MBPP, but they struggle significantly when faced with the challenge of handling entire code repositories. The key difficulty lies in the inability of LLMs to manage long-context inputs… Read More »CodexGraph: An Artificial Intelligence AI System that Integrates LLM Agents with Graph Database Interfaces Extracted from Code Repositories Aswin Ak Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Traditional biomedical AI models are often specialized and need more flexibility, making them less effective for real-world applications requiring integrating various data types. Generalist AI models, particularly those based on transformers, offer a versatile solution by handling textual and visual data. These models can… Read More »BiomedGPT: A Versatile Transformer-Based Foundation Model for Biomedical AI with Enhanced Multimodal Capabilities and Performance Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Managing and optimizing API calls to various Large Language Model (LLM) providers can be complex, especially when dealing with different formats, rate limits, and cost controls. Creating consistent interfaces for diverse LLM platforms can often be a struggle, making it challenging to streamline operations,… Read More »LiteLLM: Call 100+ LLMs Using the Same Input/Output Format Niharika Singh Artificial Intelligence Category – MarkTechPost