​[[{“value”:” Proof assistants like Lean ensure high accuracy in mathematical proofs, addressing the growing complexity of modern mathematics that often leads to errors. Formal languages like Lean, Isabelle, and Coq create computer-verifiable proofs but require significant effort and expertise. Automated theorem proving is increasingly important,… Read More »Revolutionizing Theorem Proving: How Synthetic Proof Data Transforms LLM Capabilities Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Anthropic AI’s Claude family of models represents a great challenging feat for GPT models in AI technology. With the release of the Claude 3 series, Anthropic has expanded its models’ capabilities and performance, catering to various applications from text generation to advanced vision processing.… Read More »Developments in Family of Claude Models by Anthropic AI: A Comprehensive Review Aswin Ak Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Anomaly detection in time series data is a crucial task with applications in various domains, from monitoring industrial systems to detecting fraudulent activities. The intricacies of time series anomalies, including early or delayed detections and varying anomaly durations, are not well captured by conventional… Read More »Evaluating Time Series Anomaly Detection: Proximity-Aware Time Series Anomaly Evaluation (PATE) Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Data structures and algorithms are crucial for efficient problem-solving in computer science, enabling effective data organization and manipulation for fast, reliable software. Learning them enhances your coding skills and prepares you for technical interviews and real-world challenges. This article lists the top data structure… Read More »Top Courses on Data Structures and Algorithms Shobha Kakkar Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Google Cloud AI Researchers have introduced LANISTR to address the challenges of effectively and efficiently handling unstructured and structured data within a framework.  In machine learning, handling multimodal data—comprising language, images, and structured data—is increasingly crucial. The key challenge is the issue of missing… Read More »Google AI Propose LANISTR: An Attention-based Machine Learning Framework to Learn from Language, Image, and Structured Data Pragati Jhunjhunwala Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Machine translation (MT) has made impressive progress in recent years, driven by breakthroughs in deep learning and neural networks. However, the challenge of literary translations for MT systems is difficult to solve. Literary texts, known for their complex language, figurative expressions, cultural variations, and… Read More »How do Language Agents Perform in Translating Long-Text Novels? Meet TransAgents: A Multi-Agent Framework Using LLMs to Tackle the Complexities of Literary Translation Sajjad Ansari Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Soon after OpenAI’s success with ChatGPT, Google launched one of its own multimodel large language models (MLLM). Google envisioned a greater future with Gemini (then known as Bard) from the start; hence, they made Gemini a multimodel from the beginning and stayed true to… Read More »Boost Your Data Analysis with Google Gemini’s Advanced 1.5 Pro’s New Spreadsheet Upload Feature Nishant N Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Digital pathology converts traditional glass slides into digital images for viewing, analysis, and storage. Advances in imaging technology and software drive this transformation, which has significant implications for medical diagnostics, research, and education. There is a chance to speed up advancements in precision health… Read More »Microsoft Research Introduces Gigapath: A Novel Vision Transformer For Digital Pathology Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Language models are fundamental to natural language processing (NLP), focusing on generating and comprehending human language. These models are integral to applications such as machine translation, text summarization, and conversational agents, where the aim is to develop technology capable of understanding and producing human-like… Read More »EleutherAI Presents Language Model Evaluation Harness (lm-eval) for Reproducible and Rigorous NLP Assessments, Enhancing Language Model Evaluation Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large Language Models (LLMs) have driven remarkable advancements across various Natural Language Processing (NLP) tasks. These models excel in understanding and generating human-like text, playing a pivotal role in applications such as machine translation, summarization, and more complex reasoning tasks. The progression in this… Read More »Beyond the Frequency Game: AoR Evaluates Reasoning Chains for Accurate LLM Decisions Nikhil Artificial Intelligence Category – MarkTechPost