​[[{“value”:” Machine learning has considerably improved in evaluating large language models (LLMs) for their mathematical reasoning abilities, especially in handling complex arithmetic and deductive reasoning tasks. The field focuses on testing LLMs’ capacity to generalize and solve new types of problems, especially as arithmetic problems… Read More »MathGAP: An Evaluation Benchmark for LLMs’ Mathematical Reasoning Using Controlled Proof Depth, Width, and Complexity for Out-of-Distribution Tasks Aswin Ak Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In the rapidly evolving world of finance, the demand for models that provide robust insights has never been greater. Traditional financial analysis requires an understanding of complex relationships, macroeconomic indicators, and financial nuances. Despite progress in AI, most language models struggle with the intricate… Read More »Meet Hawkish 8B: A New Financial Domain Model that can Pass CFA Level 1 and Outperform Meta Llama-3.1-8B-Instruct in Math & Finance Benchmarks Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Despite rapid advancements in language technology, significant gaps in representation persist for many languages. Most progress in natural language processing (NLP) has focused on well-resourced languages like English, leaving many others underrepresented. This imbalance means that only a small portion of the world’s population… Read More »Cohere for AI Releases Aya Expanse (8B & 32B): A State-of-the-Art Multilingual Family of Models to Bridge the Language Gap in AI Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Artificial intelligence (AI) is making significant strides in natural language processing (NLP), focusing on enhancing models that can accurately interpret and generate human language. Researchers are working to develop models that grasp complex linguistic structures and generate coherent, contextually relevant responses over extended dialogues.… Read More »This AI Paper from Amazon and Michigan State University Introduces a Novel AI Approach to Improving Long-Term Coherence in Language Models Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:”  Large language models (LLMs) sometimes learn the things that we don’t want them to learn and understand knowledge. It’s important to find ways to remove or adjust this knowledge to keep AI accurate, precise, and in control.  However, editing or “unlearning” specific knowledge in… Read More »Mechanistic Unlearning: A New AI Method that Uses Mechanistic Interpretability to Localize and Edit Specific Model Components Associated with Factual Recall Mechanisms Divyesh Vitthal Jawkhede Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Games can be thought of as either finite or infinite. Finite games are structured around achieving a specific outcome, with set rules, boundaries, and a clear endpoint. In contrast, infinite games focus on continuing play indefinitely, adapting regulations and boundaries. Most traditional video games… Read More »Google Researchers Introduce UNBOUNDED: An Interactive Generative Infinite Game based on Generative AI Models Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large Language Models (LLMs) have emerged as crucial tools for handling intricate information-seeking queries due to techniques that improve both retrieval and response generation. Retrieval-augmented generation (RAG) is a well-known framework in this area that has drawn a lot of interest since it can… Read More »MIRAGE-Bench: An Automatic Multilingual Benchmark for Retrieval-Augmented Generation Systems Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Vision Language Models (VLMs) have demonstrated remarkable capabilities in generating human-like text in response to images, with notable examples including GPT-4, Gemini, PaLiGemma, LLaVA, and Llama 3 Vision models. However, these models frequently generate hallucinated content that lacks proper grounding in the reference images,… Read More »Meta AI Researchers Introduce Token-Level Detective Reward Model (TLDR) to Provide Fine-Grained Annotations for Large Vision Language Models Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large Language Models (LLMs) have shown remarkable potential in solving complex real-world problems, from function calls to embodied planning and code generation. A critical capability for LLM agents is decomposing complex problems into executable subtasks through workflows, which serve as intermediate states to improve… Read More »WorFBench: A Benchmark for Evaluating Complex Workflow Generation in Large Language Model Agents Sajjad Ansari Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In the evolving landscape of artificial intelligence, one of the most persistent challenges has been bridging the gap between machines and human-like interaction. Modern AI models excel in text generation, image understanding, and even creating visual content, but speech—the primary medium of human communication—presents… Read More »Zhipu AI Releases GLM-4-Voice: A New Open-Source End-to-End Speech Large Language Model Asif Razzaq Artificial Intelligence Category – MarkTechPost