​[[{“value”:” Data analysis is the cornerstone of modern decision-making. It involves the systematic process of collecting, cleaning, transforming, and interpreting data to extract meaningful insights. By understanding the underlying patterns and trends within data, organizations can make informed decisions, optimize operations, and identify growth opportunities.… Read More »8 Super Important Data Analysis Methods and Techniques Pragati Jhunjhunwala Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Contrastive learning has become essential for building representations from paired data like image-text combinations in AI. It has shown great utility in transferring learned knowledge to downstream tasks, especially in domains with complex data interdependencies, such as robotics and healthcare. In robotics, for instance,… Read More »Researchers from New York University Introduce Symile: A General Framework for Multimodal Contrastive Learning Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Recent advancements in large language models (LLMs) have demonstrated significant capabilities in a wide range of applications, from solving mathematical problems to answering medical questions. However, these models are becoming increasingly impractical due to their vast size and the immense computational resources required to… Read More »TensorOpera AI Releases Fox-1: A Series of Small Language Models (SLMs) that Includes Fox-1-1.6B and Fox-1-1.6B-Instruct-v0.1 Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Model merging has emerged as a powerful technique for creating versatile, multi-task models by combining weights of task-specific models. This approach enables crucial capabilities such as skill accumulation, model weakness patching, and collaborative improvement of existing models. While model merging has shown remarkable success… Read More »Researchers from Georgia Tech and IBM Introduces KnOTS: A Gradient-Free AI Framework to Merge LoRA Models Sajjad Ansari Artificial Intelligence Category – MarkTechPost

​[[{“value”:”This paper was accepted at the Efficient Natural Language and Speech Processing (ENLSP) Workshop at NeurIPS 2024. The pre-training phase of language models often begins with randomly initialized parameters. With the current trends in scaling models, training their large number of parameters can be extremely… Read More »Scaling Smart: Accelerating Large Language Model Pre-training with Small Model Initialization Apple Machine Learning Research

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​[[{“value”:” In the world of software development, there is a constant need for more intelligent, capable, and specialized coding language models. While existing models have made significant strides in automating code generation, completion, and reasoning, several issues persist. The main challenges include inefficiency in dealing… Read More »Qwen Open Sources the Powerful, Diverse, and Practical Qwen2.5-Coder Series (0.5B/1.5B/3B/7B/14B/32B) Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Natural Language Processing (NLP) has rapidly evolved in the last few years, with transformers emerging as a game-changing innovation. Yet, there are still notable challenges when using NLP tools to develop applications for tasks like semantic search, question answering, or document embedding. One key… Read More »Hugging Face Releases Sentence Transformers v3.3.0: A Major Leap for NLP Efficiency Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Generative AI models have seen tremendous growth, offering cutting-edge solutions for text generation, summarization, code generation, and question answering. Despite their versatility, these models often struggle when applied to niche or domain-specific tasks because their pre-training is typically based on large, generalized datasets. To… Read More »Fine-tune Meta Llama 3.2 text generation models for generative AI inference using Amazon SageMaker JumpStart Pavan Kumar Rao Navule AWS Machine Learning Blog

​[[{“value”:” Microsoft Teams is an enterprise collaboration tool that allows you to build a unified workspace for real-time collaboration and communication, meetings, and file and application sharing. You can exchange and store valuable organizational knowledge within Microsoft Teams. Microsoft Teams data is often siloed across… Read More »Discover insights with the Amazon Q Business Microsoft Teams connector Genta Watanabe AWS Machine Learning Blog