​ 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

​ Fotor Fotor’s newly released online photo blender provides a solution for users aiming to artistically blend two images seamlessly. Ideal for enhancing social media content, this tool creates layered images, akin to the effects produced by professional software platforms like Photoshop, without requiring in-depth… Read More »Top 8 AI Photo Mixers in 2023 Asif Razzaq Artificial Intelligence Category – MarkTechPost

​ This AI paper provides an extensive examination of the field of MLOps. MLOps is an emerging discipline that focuses on automating the entire machine learning lifecycle. The survey covers a broad range of topics, including MLOps pipelines, challenges, and best practices. It delves into… Read More »MLOps Spanning Whole Machine Learning Life Cycle: Paper Summary Ivo Medeiros Artificial Intelligence Category – MarkTechPost

​ The term ‘Mentat’ originates from the science fiction books created by the famous author Frank Herbert in his Dune Modules. Mentats are humans or robots who are trained to perform complex tasks such as Machine Learning and Data Analysis similar to that of Artificial… Read More »Meet Mentat: An AI Tool That Assists You With Any Coding Task From Your Command-Line Allowing It To Coordinate Edits Across Multiple Files Bhoumik Mhatre Artificial Intelligence Category – MarkTechPost

​ In recent years, Significant progress has been made in music generation using Machine Learning models. However, there are still challenges in achieving efficiency and substantial control over the results. Previous attempts have encountered difficulties primarily due to limitations in music representations and model architectures.… Read More »Meet GETMusic: A Unified Representation and Diffusion Framework that can Generate any Music Tracks with a Unified Representation and Diffusion Framework Rachit Ranjan Artificial Intelligence Category – MarkTechPost

​ Deep learning has made significant progress in a wide range of application areas. An important contributing factor has been the availability of increasingly larger datasets and models. However, a downside of this trend is that training state-of-the-art models has also become increasingly expensive, leading… Read More »Breaking Barriers in Source-Free Domain Adaptation: NOTELA’s Impact on Bioacoustics and Vision Domains Madhur Garg Artificial Intelligence Category – MarkTechPost