​[[{“value”:” Authorship Verification (AV) is critical in natural language processing (NLP), determining whether two texts share the same authorship. This task holds immense importance across various domains, such as forensics, literature, and digital security. The traditional approach to AV relied heavily on stylometric analysis, which… Read More »InstructAV: Transforming Authorship Verification with Enhanced Accuracy and Explainability Through Advanced Fine-Tuning Techniques Aswin Ak Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In computational chemistry, molecules are often represented as molecular graphs, which must be converted into multidimensional vectors for processing, particularly in machine learning applications. This is achieved using molecular fingerprint feature extraction algorithms that encode molecular structures as vectors. These fingerprints are crucial for… Read More »Scikit-fingerprints: An Advanced Python Library for Efficient Molecular Fingerprint Computation and Integration with Machine Learning Pipelines Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The paper addresses the significant challenge of evaluating the tool-use capabilities of large language models (LLMs) in real-world scenarios. Existing benchmarks often fail to effectively measure these capabilities because they rely on AI-generated queries, single-step tasks, dummy tools, and text-only interactions, which do not… Read More »The GTA Benchmark: A New Standard for General Tool Agent AI Evaluation Shreya Maji Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large Language Models (LLMs) have revolutionized natural language processing, demonstrating remarkable capabilities in various applications. However, these models face significant challenges, including temporal limitations of their knowledge base, difficulties with complex mathematical computations, and a tendency to produce inaccurate information or “hallucinations.” These limitations… Read More »From RAG to ReST: A Survey of Advanced Techniques in Large Language Model Development Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Running large models for AI applications typically requires powerful and expensive hardware. For individuals or smaller organizations, this poses a significant barrier to entry. They often need help to afford the necessary top-tier GPUs to run models with billions of parameters, such as the… Read More »Cake: A Rust Framework for Distributed Inference of Large Models like LLama3 based on Candle Niharika Singh Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The field of software engineering continually evolves, with a significant focus on improving software maintenance and code comprehension. Automated code documentation is a critical area within this domain, aiming to enhance software readability and maintainability through advanced tools and techniques. A major challenge in… Read More »COMCAT: Enhancing Software Maintenance through Automated Code Documentation and Improved Developer Comprehension Using Advanced Language Models Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” LLMs excel in processing textual data, while VLN primarily involves visual information. Effectively combining these modalities requires sophisticated techniques to align and correlate visual and textual representations. Despite significant advancements in LLMs, a performance gap exists when these models are applied to VLN tasks… Read More »NavGPT-2: Integrating LLMs and Navigation Policy Networks for Smarter Agents Pragati Jhunjhunwala Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The enormous increase in the training data needed by Large Language Models, along with their exceptional model capability, has allowed them to accomplish outstanding language understanding and generation advancements. The efficiency of large language model LLM training is a major topic because scaling up… Read More »Tencent AI Team Introduces Patch-Level Training for Large Language Models LLMs: Reducing the Sequence Length by Compressing Multiple Tokens into a Single Patch Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Arcee AI introduced Arcee-Nova, a groundbreaking achievement in open-source artificial intelligence. Following their previous release, Arcee-Scribe, Arcee-Nova has quickly established itself as the highest-performing model within the open-source domain. Evaluated on the same stack as the OpenLLM Leaderboard 2.0, Arcee-Nova’s performance approaches that of… Read More »Arcee AI Introduces Arcee-Nova: A New Open-Sourced Language Model based on Qwen2-72B and Approaches GPT-4 Performance Level Asif Razzaq Artificial Intelligence Category – MarkTechPost