​ Human input is a key tactic for improving social dialogue models. In reinforcement learning with human feedback, when many human annotations are required to guarantee a satisfactory reward function, there has been tremendous improvement in learning from feedback. The sources of feedback include numerical… Read More »Researchers from NYU and Meta AI Studies Improving Social Conversational Agents by Learning from Natural Dialogue between Users and a Deployed Model, without Extra Annotations Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

​ Grammarly  Grammarly is a web-based writing tutor powered by artificial intelligence. It instantly corrects any grammar, spelling, punctuation, clarity, style, or tone errors you may have made. Across Windows, Mac, iOS, and Android, Grammarly works flawlessly with more than 500,000 apps and websites. Among… Read More »Best AI Grammar Checker Tools 2023 Prathamesh Ingle Artificial Intelligence Category – MarkTechPost

​ Artificial intelligence and profound learning advancements have opened new avenues for improving medical diagnostics and patient care. A recent study published in Radiology: Artificial Intelligence has demonstrated the potential of a mammography-based deep learning (DL) model in detecting precancerous changes in women at high… Read More »Predicting Precancerous Changes in High-Risk Women: A Breakthrough Mammography-Based Deep Learning Approach Niharika Singh Artificial Intelligence Category – MarkTechPost

​ ChatGPT’s capacity to produce polished essays, emails, and code in response to a few simple inquiries has garnered international attention. Researchers at MIT has reported a method that has the potential to pave the way for machine-learning programs many times more capable than the… Read More »Light-Based Computing Revolution: Powering ChatGPT-Type Machine Learning Programs with Enhanced Optical Neural Networks Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​ Researchers from MIT and Stanford University have introduced a novel machine-learning technique that has the potential to revolutionize the control of robots, such as drones and autonomous vehicles, in dynamic environments with rapidly changing conditions. The innovative approach incorporates principles from control theory into… Read More »MIT and Stanford Researchers Developed a Machine-Learning Technique that can Efficiently Learn to Control a Robot, Leading to Better Performance with Less Data Niharika Singh Artificial Intelligence Category – MarkTechPost

​ This paper addresses a novel approach called SyntHesIzed Prompts (SHIP) to improve existing fine-tuning methods.  Fine-tuning: After pre-training, the model is then fine-tuned on a smaller, task-specific dataset. This involves continuing the training process on the new data, often with a smaller learning rate.… Read More »A New AI Research from China Proposes SHIP: A Plug-and-Play Generative AI Approach to Improve Existing Fine-Tuning Methods Mahitha Sannala Artificial Intelligence Category – MarkTechPost

​ The performance of large language models on various tasks, including question-answering and code production, has been impressive. A language model can automatically generate a statistically plausible conclusion to a sequence based on an input. Users then use this information to train these models through… Read More »ETH Zurich Researchers Introduce LMQL: A Programming Language For Language Model Interaction Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​ Natural Language Processing has evolved significantly in recent years, especially with the creation of sophisticated language models. Almost all natural language tasks, including translation and reasoning, have seen notable advances in the performance of well-known models like GPT 3.5, GPT 4, BERT, PaLM, etc.… Read More »Meet Advanced Reasoning Benchmark (ARB): A New Benchmark To Evaluate Large Language Models Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​ GPT-4 is an example of generative artificial intelligence (AI) technology, which combines several tasks in natural language processing into a single sequence-generating issue. With exceptional efficiency and interactivity, this unified architecture enables users to execute various activities (including code generation, math problem solving, and… Read More »Meet FACTOOL: A Task and Domain Agnostic Framework for Detecting Factual Errors of Texts Generated by Large Language Models (e.g., ChatGPT) Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

​ Several natural language activities, including arithmetic, common sense, logical reasoning, question-and-answer tasks, text production, and even interactive decision-making tasks, may be solved using large language models (LLM). By utilizing the ability of HTML comprehension and multi-step reasoning, LLMs have recently shown excellent success in… Read More »Google DeepMind and the University of Tokyo Researchers Introduce WebAgent: An LLM-Driven Agent that can Complete the Tasks on Real Websites Following Natural Language Instructions Aneesh Tickoo Artificial Intelligence Category – MarkTechPost