​[[{“value”:” The surge in the development of Large Language Models (LLMs) has been revolutionary. These sophisticated models have dramatically enhanced our ability to process, understand, and generate human-like text. Yet, as these models grow in size and complexity, they bring forth significant challenges, notably in… Read More »BitNet b1.58: Pioneering the Future of Efficient Large Language Models Adnan Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The intricacies in unlocking the latent potential of Large Language Models (LLMs) for specific tasks remain a complex challenge even after all the state-of-the-art achievements these models have shown throughout their development. The reason is primarily due to the vastness of the models and… Read More »Deciphering the Impact of Scaling Factors on LLM Finetuning: Insights from Bilingual Translation and Summarization Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Recent advancements in healthcare leverage LLMs like GPT-4, MedPalm-2 and open-source alternatives such as Llama 2. While these models, including PMC-LLaMA, MedAlpaca, and ChatDoctors, excel in English-language applications and even surpass closed-source counterparts sometimes, their effectiveness in non-English medical queries still needs to be… Read More »This AI Paper from China Developed an Open-source and Multilingual Language Model for Medicine Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” One of the cornerstone challenges in machine learning, time series forecasting has made groundbreaking contributions to several domains. However, forecasting models can’t generalize the distribution shift that changes with time because time series data is inherently non-stationary. Based on the assumptions about the inter-instance… Read More »This Machine Learning Paper Presents a General Data Generation Process for Non-Stationary Time Series Forecasting Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Artificial Intelligence (AI) and Deep Learning, with a focus on Natural Language Processing (NLP), have seen substantial changes in the last few years. The area has advanced quickly in both theoretical development and practical applications, from the early days of Recurrent Neural Networks (RNNs)… Read More »Google DeepMind Introduces Two Unique Machine Learning Models, Hawk And Griffin, Combining Gated Linear Recurrences With Local Attention For Efficient Language Models Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In recent years, the AI community has witnessed a significant surge in developing large language models (LLMs) such as ChatGPT, Bard, and Claude. These models have demonstrated exceptional capabilities, from enhancing dialogue systems to improving logical reasoning and coding. However, their vast size and… Read More »Redefining Compact AI: MBZUAI’s MobiLlama Delivers Cutting-Edge Performance in Small Language Models Domain Muhammad Athar Ganaie Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In the rapidly evolving field of artificial intelligence, the development and application of large language models (LLMs) stand at the forefront of innovation, offering unparalleled data processing and analysis capabilities. These sophisticated models, characterized by their vast parameter spaces, have demonstrated exceptional proficiency in… Read More »Can AI Think Better by Breaking Down Problems? Insights from a Joint Apple and University of Michigan Study on Enhancing Large Language Models Muhammad Athar Ganaie Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Engineering effective prompts for LLMs is crucial yet challenging due to their sensitivity to prompts and the ambiguity of task instructions. Recent studies propose using meta-prompts that learn from past trials to suggest improved prompts automatically. However, evaluating prompt effectiveness requires high-quality benchmarks, often… Read More »Automated Prompt Engineering: Leveraging Synthetic Data and Meta-Prompts for Enhanced LLM Performance Sana Hassan Artificial Intelligence Category – MarkTechPost