​[[{“value”:” Science aims to discover concise, explanatory formulae that align with background theory and experimental data. Traditionally, scientists have derived natural laws through equation manipulation and experimental verification, but this approach could be more efficient. The Scientific Method has advanced our understanding, but the rate… Read More »IBM Researchers Introduce AI-Hilbert: An Innovative Machine Learning Framework for Scientific Discovery Integrating Algebraic Geometry and Mixed-Integer Optimization Sana Hassan Artificial Intelligence Category – MarkTechPost

​ The field of Natural Language Processing (NLP) has seen significant advancements in recent years, largely driven by the development of sophisticated models capable of understanding and generating human language. One of the key players in this revolution is Hugging Face, an open-source AI company… Read More »Unlocking the Power of Hugging Face for NLP Tasks Ravjot Singh Becoming Human: Artificial Intelligence Magazine – Medium

​[[{“value”:” Current methodologies for Text-to-SQL primarily rely on deep learning models, particularly Sequence-to-Sequence (Seq2Seq) models, which have become mainstream due to their ability to map natural language input directly to SQL output without intermediate steps. These models, enhanced by pre-trained language models (PLMs), set the… Read More »Transforming Database Access: The LLM-based Text-to-SQL Approach Shreya Maji Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Fundamental Large Language Models (LLMs) such as GPT-4, Gemini, and Claude have demonstrated notable capabilities, matching or exceeding human performance. In this context, benchmarks become difficult but necessary tools for distinguishing various models and pinpointing their limitations. Comprehensive evaluations of language models have been… Read More »LMMS-EVAL: A Unified and Standardized Multimodal AI Benchmark Framework for Transparent and Reproducible Evaluations Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Remote sensing is a crucial field utilizing satellite and aerial sensor technologies to detect and classify objects on Earth, playing a significant role in environmental monitoring, agricultural management, and natural resource conservation. These technologies enable scientists to gather extensive data over vast geographic areas… Read More »EuroCropsML: An Analysis-Ready Remote Sensing Machine Learning Dataset for Time Series Crop Type Classification of Agricultural Parcels in Europe Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The mismatch between human expectations of AI capabilities and the actual performance of AI systems does not allow users to effectively utilize LLMs. Incorrect assumptions about AI capabilities can lead to dangerous situations, especially in critical applications like self-driving cars or medical diagnosis. If… Read More »A New AI Study from MIT Shows Someone’s Beliefs about an LLM Play a Significant Role in the Model’s Performance and are Important for How It is Deployed Pragati Jhunjhunwala Artificial Intelligence Category – MarkTechPost

​[[{“value”:” A significant challenge in AI research is improving the efficiency and accuracy of language models for long-horizon planning problems. Traditional methods either lack the speed needed for real-time applications or the accuracy required for complex tasks. Addressing this challenge is crucial for advancing AI’s… Read More »This AI Paper from UNC-Chapel Hill Introduces the System-1.x Planner: A Hybrid Framework for Efficient and Accurate Long-Horizon Planning with Language Models Aswin Ak Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large Language Models (LLMs) excel in generating human-like text, offering a plethora of applications from customer service automation to content creation. However, this immense potential comes with significant risks. LLMs are prone to adversarial attacks that manipulate them into producing harmful outputs. These vulnerabilities… Read More »Imposter.AI: Unveiling Adversarial Attack Strategies to Expose Vulnerabilities in Advanced Large Language Models Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Mistral AI recently announced the release of Mistral Large 2, the latest iteration of its flagship model, which promises significant advancements over its predecessor. This new model excels in code generation, mathematics, and reasoning and offers enhanced multilingual support and advanced function-calling capabilities. Mistral… Read More »Mistral-Large-Instruct-2407 Released: Multilingual AI with 128K Context, 80+ Coding Languages, 84.0% MMLU, 92% HumanEval, and 93% GSM8K Performance Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Text retrieval is essential for applications like searching, question answering, semantic similarity, and item recommendation. Embedding or dense retrieval models play a key role in this process. The hard-negative mining method is used, to select negative passages for queries to train these models. It… Read More »Nvidia AI Introduces NV-Retriever-v1: An Embedding Model Optimized for Retrieval Sajjad Ansari Artificial Intelligence Category – MarkTechPost