​[[{“value”:” Natural language processing (NLP) has rapidly evolved with the development of large language models (LLMs), which are increasingly central to various tech applications. These models process and generate text in ways that mimic human understanding, but inefficiencies often hamper their potential in resource use… Read More »Researchers at Apple Release OpenELM: Model Improving NLP Efficiency Using Layer-Wise Innovation and Open-Source Approach Adnan Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large Language Models (LLMs) have made it economically possible to perform tasks involving structured outputs, such as converting natural language into code or SQL. LLMs are also being used to convert natural language into workflows, which are collections of actions with logical connections between… Read More »Researchers at ServiceNow Propose a Machine Learning Approach to Deploy a Retrieval Augmented LLM to Reduce Hallucination and Allow Generalization in a Structured Output Task Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Are you curious about the intricate world of large language models (LLMs) and the technical jargon that surrounds them? Understanding the terminology, from the foundational aspects of training and fine-tuning to the cutting-edge concepts of transformers and reinforcement learning, is the first step towards… Read More »Understanding Key Terminologies in Large Language Model (LLM) Universe Adnan Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” As countries shift towards renewable energy like wind and solar power, understanding how climate change will affect these energy sources becomes crucial. Climate change brings extreme weather events, making it hard for energy planners to predict future energy needs. While some data exists, it’s… Read More »Sup3rCC: An Open-Source Machine Learning Model that Simulates Future Climate Conditions and Their Impact on Renewable Energy Resources Niharika Singh Artificial Intelligence Category – MarkTechPost

​[[{“value”:” MIT CSAIL researchers introduced MAIA (Multimodal Automated Interpretability Agent) to address the challenge of understanding neural models, especially in computer vision, where interpreting the behavior of complex models is essential for improving accuracy and robustness and identifying biases. Current methods rely on manual effort,… Read More »Researchers at MIT Propose ‘MAIA’: An Artificial Intelligence System that Uses Neural Network Models to Automate Neural Model Understanding Tasks Pragati Jhunjhunwala Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The increasing complexity of AI systems, particularly with the rise of opaque models like Deep Neural Networks (DNNs), has highlighted the need for transparency in decision-making processes. As black-box models become more prevalent, stakeholders in AI demand explanations to justify decisions, especially in critical… Read More »Top 10 Explainable AI (XAI) Frameworks Adnan Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Automation in modern industries often involves repetitive tasks, but the challenge arises when tasks require flexibility and spontaneous decision-making. Traditional robotic process automation (RPA) systems are designed for static, routine activities, falling short when unpredictability is introduced. These systems are typically confined to predefined… Read More »JP Morgan AI Research Introduces FlowMind: A Novel Machine Learning Approach that Leverages the Capabilities of LLMs such as GPT to Create an Automatic Workflow Generation System Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Gene editing is a rapidly evolving field with profound implications for agriculture, biotechnology, and medicine. One of the most promising tools in this arena is the CRISPR-Cas system, originally derived from bacterial immune defence mechanisms. This technology offers a precise means of altering genetic… Read More »OpenCRISPR: An Open-Source AI-Generated Gene Editor that Exhibits Compatibility with Base Editing Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” LLMs have grown remarkably over the past few years, largely driven by global initiatives to scale up both model sizes and datasets. From just one billion parameters five years ago, exemplified by GPT-2 with 1.5 billion parameters, LLMs now boast trillion-parameter architectures. This push… Read More »Microsoft AI Releases Phi-3 Family of Models: A 3.8B Parameter Language Model Trained on 3.3T Tokens Locally on Your Phone Mohammad Asjad Artificial Intelligence Category – MarkTechPost