​[[{“value”:” Multi-modal generative models integrate various data types, such as text, images, and videos, expanding AI applications across different fields. However, optimizing these models presents complex challenges related to data processing and model training. The need for cohesive strategies to refine both data and models… Read More »This AI Paper by Alibaba Introduces Data-Juicer Sandbox: A Probe-Analyze-Refine Approach to Co-Developing Multi-Modal Data and Generative AI Models Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” SciPhi has recently announced the release of Triplex, a state-of-the-art language model (LLM) designed specifically for knowledge graph construction. This open-source innovation is poised to revolutionize how large quantities of unstructured data are converted into structured formats, significantly reducing the cost and complexity traditionally… Read More »SciPhi Open Sourced Triplex: A SOTA LLM for Knowledge Graph Construction Provides Data Structuring with Cost-Effective and Efficient Solutions Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Home Table of Contents Implementing Semantic Search: Jaccard Similarity and Vector Space Models Beyond Boolean Search: Navigating Limitations and Opportunities Scoring: A Deep Dive into Jaccard Similarity for Retrieval Vector Space Models: The Power of TF-IDF Weighting Understanding the Importance of Term Frequency Unlocking… Read More »Implementing Semantic Search: Jaccard Similarity and Vector Space Models Puneet Mangla PyImageSearch

​[[{“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