​[[{“value”:” Artificial intelligence (AI) is focused on developing systems capable of performing tasks that typically require human intelligence, such as learning, reasoning, problem-solving, perception, and language understanding. These technologies have various applications across various industries, including healthcare, finance, transportation, and entertainment, making it a vital… Read More »Optimizing for Choice: Novel Loss Functions Enhance AI Model Generalizability and Performance Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Artificial intelligence’s large language models (LLMs) have become essential tools due to their ability to process and generate human-like text, enabling them to perform various tasks. These models rely heavily on high-quality instruction datasets for fine-tuning, which enhances their ability to understand and follow… Read More »MAGPIE: A Self-Synthesis Method for Generating Large-Scale Alignment Data by Prompting Aligned LLMs with Nothing Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large language models (LLMs) face a significant challenge in accurately representing uncertainty over the correctness of their output. This issue is critical for decision-making applications, particularly in fields like healthcare where erroneous confidence can lead to dangerous outcomes. The task is further complicated by… Read More »Enhancing Trust in Large Language Models: Fine-Tuning for Calibrated Uncertainties in High-Stakes Applications Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” NVIDIA has recently unveiled the Nemotron-4 340B, a groundbreaking family of models designed to generate synthetic data for training large language models (LLMs) across various commercial applications. This release marks a significant advancement in generative AI, offering a comprehensive suite of tools optimized for… Read More »NVIDIA AI Introduces Nemotron-4 340B: A Family of Open Models that Developers can Use to Generate Synthetic Data for Training Large Language Models (LLMs) Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” As AI-generated data increasingly supplements or even replaces human-annotated data, concerns have arisen about the degradation in model performance when models are iteratively trained on synthetic data. Model collapse refers to this phenomenon where a model’s performance deteriorates significantly when trained on synthesized data… Read More »Scaling AI Models: Combating Collapse with Reinforced Synthetic Data Shreya Maji Artificial Intelligence Category – MarkTechPost

​[[{“value”:” A wide variety of areas have demonstrated excellent performance for large language models (LLMs), which are flexible tools for language generation. The potential of these models in medical education, research, and clinical practice is not just immense, but transformative, offering a promising future where… Read More »A New Google Study Presents Personal Health Large Language Model (Ph-Llm): A Version Of Gemini Fine-Tuned For Text Understanding Numerical Time-Series Personal Health Data Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​[[{“value”:” These days, an embedded analytics solution can cost six figures. Users are never satisfied, regardless of how much effort is put in. They often express frustration with the complicated user interface or wish for more advanced analytics. It could have been better; however, most… Read More »Lightski: An AI Startup that Lets You Embed ChatGPT Code Interpreter in Your App Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The digital age demands for automation and efficiency in the domain of software and applications. Automating repetitive coding tasks and reducing debugging time frees up programmers’ time for more strategic work. This can be especially beneficial for businesses and organizations that rely heavily on… Read More »Thread: A Jupyter Notebook that Combines the Experience of OpenAI’s Code Interpreter with the Familiar Development Environment of a Python Notebook Pragati Jhunjhunwala Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large Language Models (LLMs) have taken over the Artificial Intelligence (AI) community in recent times. In a Reddit post, a user recently brought attention to the startling quantity of over 700,000 large language models on Hugging Face, which sparked an argument about their usefulness… Read More »With 700,000 Large Language Models (LLMs) On Hugging Face Already, Where Is The Future of Artificial Intelligence AI Headed? Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Controlling the language proficiency levels in texts generated by large language models (LLMs) is a significant challenge in AI research. Ensuring that generated content is appropriate for various proficiency levels is crucial for applications in language learning, education, and other contexts where users may… Read More »Researchers from Stanford and Duolingo Demonstrate Effective Strategies for Generating at a Desired Proficiency Level Using Proprietary Models such as GPT4 and Open-Source Techniques Aswin Ak Artificial Intelligence Category – MarkTechPost