​[[{“value”:” In today’s world, Multimodal large language models (MLLMs) are advanced systems that process and understand multiple input forms, such as text and images. By interpreting these diverse inputs, they aim to reason through tasks and generate accurate outputs. However, MLLMs often fail at complex… Read More »Collective Monte Carlo Tree Search (CoMCTS): A New Learning-to-Reason Method for Multimodal Large Language Models Divyesh Vitthal Jawkhede Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large language models (LLMs) built using transformer architectures heavily depend on pre-training with large-scale data to predict sequential tokens. This complex and resource-intensive process requires enormous computational infrastructure and well-constructed data pipelines. The growing demand for efficient and accessible LLMs has led researchers to… Read More »YuLan-Mini: A 2.42B Parameter Open Data-efficient Language Model with Long-Context Capabilities and Advanced Training Techniques Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large language models (LLMs) encounter significant difficulties in performing efficient and logically consistent reasoning. Existing methods, such as CoT prompting, are extremely computationally intensive, not scalable, and unsuitable for real-time applications or limited resources. These limitations restrict their applicability in financial analysis and decision-making,… Read More »Quasar-1: A Rigorous Mathematical Framework for Temperature-Guided Reasoning in Language Models Aswin Ak Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Machine unlearning is driven by the need for data autonomy, allowing individuals to request the removal of their data’s influence on machine learning models. This field complements data privacy efforts, which focus on preventing models from revealing sensitive information about the training data through… Read More »Unveiling Privacy Risks in Machine Unlearning: Reconstruction Attacks on Deleted Data Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The semiconductor industry enables advancements in consumer electronics, automotive systems, and cutting-edge computing technologies. The production of semiconductors involves sophisticated processes that demand unparalleled precision and expertise. These processes include chip design, manufacturing, testing, and optimization, each stage requiring deep domain knowledge. The field… Read More »Meet SemiKong: The World’s First Open-Source Semiconductor-Focused LLM Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large language models (LLMs) are integral to solving complex problems across language processing, mathematics, and reasoning domains. Enhancements in computational techniques focus on enabling LLMs to process data more effectively, generating more accurate and contextually relevant responses. As these models become complex, researchers strive… Read More »Google DeepMind Introduces Differentiable Cache Augmentation: A Coprocessor-Enhanced Approach to Boost LLM Reasoning and Efficiency Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” NVIDIA’s AI Podcast gives listeners the inside scoop on the ways AI is transforming nearly every industry.  Since the show’s debut in 2016, it’s garnered more than 6 million listens across 200-plus episodes, covering how generative AI is used to power applications including assistive… Read More »Have You Heard? 5 AI Podcast Episodes Listeners Loved in 2024 Isha Salian – Archives Page 1 | NVIDIA Blog

​[[{“value”:” Code generation using Large Language Models (LLMs) has emerged as a critical research area, but generating accurate code for complex problems in a single attempt remains a significant challenge. Even skilled human developers often require multiple iterations of trial-and-error debugging to solve difficult programming… Read More »AWS Researchers Propose LEDEX: A Machine Learning Training Framework that Significantly Improves the Self-Debugging Capability of LLMs Sajjad Ansari Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The monopolization of any industry into the hands of a few giant companies has always been a matter of concern. Now, even artificial intelligence (AI) has fallen prey to these circumstances. Such monopolization of AI raises concerns like the concentration of power and resources,… Read More »Meet AIArena: A Blockchain-Based Decentralized AI Training Platform Afeerah Naseem Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The field of Natural Language Processing (NLP) has made significant strides with the development of large-scale language models (LLMs). However, this progress has brought its own set of challenges. Training and inference require substantial computational resources, the availability of diverse, high-quality datasets is critical,… Read More »DeepSeek-AI Just Released DeepSeek-V3: A Strong Mixture-of-Experts (MoE) Language Model with 671B Total Parameters with 37B Activated for Each Token Asif Razzaq Artificial Intelligence Category – MarkTechPost