​[[{“value”:” Natural Language processing uses large language models (LLMs) to enable applications such as language translation, sentiment analysis, speech recognition, and text summarization. These models depend on human feedback-based supervised data, but relying on unsupervised data becomes necessary as they surpass human capabilities. However, the… Read More »How AI Models Learn to Solve Problems That Humans Can’t Afeerah Naseem Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large Language Models (LLMs) and neural architectures have significantly advanced capabilities, particularly in processing longer contexts. These improvements have profound implications for various applications. Enhanced context handling enables models to generate more accurate and contextually relevant responses by utilizing comprehensive information. The expanded context… Read More »Scaling Language Model Evaluation: From Thousands to Millions of Tokens with BABILong Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large Language Models (LLMs) play a vital role in many AI applications, ranging from text summarization to conversational AI. However, evaluating these models effectively remains a significant challenge. Human evaluations, while reliable, often suffer from inconsistency, high costs, and long turnaround times. Automated evaluation… Read More »Patronus AI Open Sources Glider: A 3B State-of-the-Art Small Language Model (SLM) Judge Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Theory of Mind (ToM) is a foundational element of human social intelligence, enabling individuals to interpret and predict the mental states, intentions, and beliefs of others. This cognitive ability is essential for effective communication and collaboration, serving as a pillar for complex social interactions.… Read More »Meta AI Introduces ExploreToM: A Program-Guided Adversarial Data Generation Approach for Theory of Mind Reasoning Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Reasoning systems such as o1 from OpenAI were recently introduced to solve complex tasks using slow-thinking processes. However, it is clear that large language models have limitations, as they cannot plan, break down problems, improve ideas, summarize, or rethink due to their training and… Read More »Slow Thinking with LLMs: Lessons from Imitation, Exploration, and Self-Improvement Divyesh Vitthal Jawkhede Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The evaluation of LLMs in medical tasks has traditionally relied on multiple-choice question benchmarks. However, these benchmarks are limited in scope, often yielding saturated results with repeated high performance from LLMs, and do not accurately reflect real-world clinical scenarios. Clinical reasoning, the cognitive process… Read More »Advancing Clinical Decision Support: Evaluating the Medical Reasoning Capabilities of OpenAI’s o1-Preview Model Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The robotics and embodied AI field has long struggled with accessibility and efficiency issues. Creating realistic physical simulations requires extensive technical expertise, expensive hardware, and time-consuming manual processes. Existing tools often fail to deliver the speed, accuracy, and user-friendliness needed for widespread adoption, making… Read More »Meet Genesis: An Open-Source Physics AI Engine Redefining Robotics with Ultra-Fast Simulations and Generative 4D Worlds Aswin Ak Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The rise of large language models (LLMs) has transformed natural language processing, but training these models comes with significant challenges. Training state-of-the-art models like GPT and Llama requires enormous computational resources and intricate engineering. For instance, Llama-3.1-405B needed approx. 39 million GPU hours, equivalent… Read More »Hugging Face Releases Picotron: A Tiny Framework that Solves LLM Training 4D Parallelization Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Generative AI offers many benefits for both you, as a software provider, and your end-users. AI assistants can help users generate insights, get help, and find information that may be hard to surface using traditional means. In addition, they can help your employees reduce… Read More »Add a generative AI experience to your website or web application with Amazon Q embedded Bobby Williams AWS Machine Learning Blog

​[[{“value”:” Large language models (LLMs) have demonstrated remarkable capabilities in a wide range of linguistic tasks. However, the performance of these models is heavily influenced by the data used during the training process. In this blog post, we provide an introduction to preparing your own… Read More »An introduction to preparing your own dataset for LLM training Simon Zamarin AWS Machine Learning Blog