​In recent years, the finance industry has been experiencing significant changes, with artificial intelligence and machine learning (ML) playing an increasingly important role. In recent years, the finance industry has been experiencing significant changes, with artificial intelligence and machine learning (ML) playing an increasingly important role.  Read… Read More »Industries in Focus: Machine Learning in Finance Vinod Chugani MachineLearningMastery.com

​[[{“value”:” Large Language Models (LLMs) are widely used in natural language tasks, from question-answering to conversational AI. However, a persistent issue with LLMs is “hallucination,” where the model generates responses that are factually incorrect or ungrounded in reality. These hallucinations can diminish the reliability of… Read More »WACK: Advancing Hallucination Detection by Identifying Knowledge-Based Errors in Language Models Through Model-Specific, High-Precision Datasets and Prompting Techniques Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Quality of Service (QoS) is a very important metric used to evaluate the performance of network services in mobile edge environments where mobile devices frequently request services from edge servers. It includes dimensions like bandwidth, latency, jitter, and data packet loss rate. However, most… Read More »CHESTNUT: A QoS Dataset for Mobile Edge Environments Nazmi Syed Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large language models (LLMs) are increasingly utilized for complex reasoning tasks, requiring them to provide accurate responses across various challenging scenarios. These tasks include logical reasoning, complex mathematics, and intricate planning applications, which demand the ability to perform multi-step reasoning and solve problems in… Read More »AUTO-CEI: A Curriculum and Expert Iteration Approach to Elevate LLMs’ Response Precision and Control Refusal Rates Across Diverse Reasoning Domains Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Rotary Positional Embeddings (RoPE) is an advanced approach in artificial intelligence that enhances positional encoding in transformer models, especially for sequential data like language. Transformer models inherently struggle with positional order because they treat each token in isolation. Researchers have explored embedding methods that… Read More »This AI Paper Reveals the Inner Workings of Rotary Positional Embeddings in Transformers Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Artificial intelligence has recently expanded its role in areas that handle highly sensitive information, such as healthcare, education, and personal development, through advanced language models (LLMs) like ChatGPT. These models, often proprietary, can process large datasets and deliver impressive results. However, this capability raises… Read More »PAPILLON: A Privacy-Focused AI Solution that Blends Local and Proprietary Models to Deliver Safe and Accurate Language Model Outputs Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In recent years, the surge in large language models (LLMs) has significantly transformed how we approach natural language processing tasks. However, these advancements are not without their drawbacks. The widespread use of massive LLMs like GPT-4 and Meta’s LLaMA has revealed their limitations when… Read More »SmolLM2 Released: The New Series (0.1B, 0.3B, and 1.7B) of Small Language Models for On-Device Applications and Outperforms Meta Llama 3.2 1B Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:”Many app developers are interested in building on device experiences that integrate increasingly capable large language models (LLMs). Running these models locally on Apple silicon enables developers to leverage the capabilities of the user’s device for cost-effective inference, without sending data to and from third… Read More »On Device Llama 3.1 with Core ML Apple Machine Learning Research

​[[{“value”:” In the fast-moving world of artificial intelligence and machine learning, the efficiency of deploying and running models is key to success. For data scientists and machine learning engineers, one of the biggest frustrations has been the slow and often cumbersome process of loading trained… Read More »Run AI Open Sources Run:ai Model Streamer: A Purpose-Built Solution to Make Large Models Loading Faster, and More Efficient Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In the vast world of AI tools, a key challenge remains: delivering accurate, real-time information. Traditional search engines have dominated our digital lives, helping billions find answers, yet they often fall short in providing personalized, conversational responses. Large language models like OpenAI’s ChatGPT transformed… Read More »OpenAI Launches it’s Search Engine on ChatGPT Shobha Kakkar Artificial Intelligence Category – MarkTechPost