​[[{“value”:” Deep neural network training can be sped up by Fully Quantised Training (FQT), which transforms activations, weights, and gradients into lower precision formats. The training procedure is more effective with the help of the quantization process, which enables quicker calculation and lower memory utilization.… Read More »This AI Research from China Introduces 1-Bit FQT: Enhancing the Capabilities of Fully Quantized Training (FQT) to 1-bit Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large Language Models (LLMs) have demonstrated remarkable capabilities in various natural language processing tasks. However, they face a significant challenge: hallucinations, where the models generate responses that are not grounded in the source material. This issue undermines the reliability of LLMs and makes hallucination… Read More »Microsoft Researchers Combine Small and Large Language Models for Faster, More Accurate Hallucination Detection Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In e-commerce, product descriptions are more than just a few lines of text; they are a critical component of the sales funnel. With the rising reliance on digital platforms for shopping, businesses must ensure that their product descriptions capture potential buyers’ attention and rank… Read More »ChatGPT for E-commerce: Crafting Product Descriptions that Rank and Convert Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Cartesia AI has made a notable contribution with the release of Rene, a 1.3 billion-parameter language model. This open-source model, built upon a hybrid architecture combining Mamba-2’s feedforward and sliding window attention layers, is a milestone development in natural language processing (NLP). By leveraging… Read More »Cartesia AI Released Rene: A Groundbreaking 1.3B Parameter Open-Source Small Language Model Transforming Natural Language Processing Applications Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” 3D occupancy estimation methods initially relied heavily on supervised training approaches requiring extensive 3D annotations, which limited scalability. Self-supervised and weakly-supervised learning techniques emerged to address this issue, utilizing volume rendering with 2D supervision signals. These methods, however, faced challenges, including the need for… Read More »GaussianOcc: A Self-Supervised Approach for Efficient 3D Occupancy Estimation Using Advanced Gaussian Splatting Techniques Shoaib Nazir Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Mixture-of-experts (MoE) models have emerged as a crucial innovation in machine learning, particularly in scaling large language models (LLMs). These models are designed to manage the growing computational demands of processing vast data. By leveraging multiple specialized experts within a single model, MoE architectures… Read More »Loss-Free Balancing: A Novel Strategy for Achieving Optimal Load Distribution in Mixture-of-Experts Models with 1B-3B Parameters, Enhancing Performance Across 100B-200B Tokens Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” With the rapid growth of generative artificial intelligence (AI), many AWS customers are looking to take advantage of publicly available foundation models (FMs) and technologies. This includes Meta Llama 3, Meta’s publicly available large language model (LLM). The partnership between Meta and Amazon signifies… Read More »Best practices for prompt engineering with Meta Llama 3 for Text-to-SQL use cases Marco Punio AWS Machine Learning Blog

​[[{“value”:” Despite the ability of generative artificial intelligence (AI) to mimic human behavior, it often requires detailed instructions to generate high-quality and relevant content. Prompt engineering is the process of crafting these inputs, called prompts, that guide foundation models (FMs) and large language models (LLMs)… Read More »Implementing advanced prompt engineering with Amazon Bedrock Jonah Craig AWS Machine Learning Blog

​[[{“value”:” Music information retrieval (MIR) has become increasingly vital as the digitalization of music has exploded. MIR involves the development of algorithms that can analyze and process music data to recognize patterns, classify genres, and even generate new music compositions. This multidisciplinary field blends elements… Read More »This AI Paper Introduces MARBLE: A Comprehensive Benchmark for Music Information Retrieval Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Researchers from Aleph Alpha announce a new foundation model family that includes Pharia-1-LLM-7B-control and Pharia-1-LLM-7B-control-aligned. These models are now publicly available under the Open Aleph License, explicitly allowing for non-commercial research and educational use. This release marks a significant step forward in providing accessible,… Read More »Aleph Alpha Researchers Release Pharia-1-LLM-7B: Two Distinct Variants- Pharia-1-LLM-7B-Control and Pharia-1-LLM-7B-Control-Aligned Mohammad Asjad Artificial Intelligence Category – MarkTechPost