​ The transformative power of Artificial Intelligence (AI) has already begun to reshape the job landscape, and according to the McKinsey report “The State of AI in 2023: Generative AI’s Breakout Year,” this trend is only set to accelerate. The report highlights key insights into… Read More »The Impact of Generative AI on the Future of Work: 5 Key Insights from the McKinsey Report Niharika Singh Artificial Intelligence Category – MarkTechPost

​ As machine learning (ML) becomes increasingly prevalent in a wide range of industries, organizations are finding the need to train and serve large numbers of ML models to meet the diverse needs of their customers. For software as a service (SaaS) providers in particular,… Read More »Scale training and inference of thousands of ML models with Amazon SageMaker Davide Gallitelli AWS Machine Learning Blog

​ Amazon SageMaker Canvas is a visual interface that enables business analysts to generate accurate machine learning (ML) predictions on their own, without requiring any ML experience or having to write a single line of code. SageMaker Canvas’s intuitive user interface lets business analysts browse… Read More »Accelerate business outcomes with 70% performance improvements to data processing, training, and inference with Amazon SageMaker Canvas Peter Chung AWS Machine Learning Blog

​ Computer vision (CV) is one of the most common applications of machine learning (ML) and deep learning. Use cases range from self-driving cars, content moderation on social media platforms, cancer detection, and automated defect detection. Amazon Rekognition is a fully managed service that can… Read More »Build and train computer vision models to detect car positions in images using Amazon SageMaker and Amazon Rekognition Michael Wallner AWS Machine Learning Blog

​ Several human demos have been collected for learning visual navigation, and recent huge datasets contain hundreds of interactive scenarios, both of which have led to significant improvements in agent performance. However, getting to such massive training requires solving a number of key sub-problems, such… Read More »This AI Paper Proposes an Effective Paradigm for Large Scale Vision-and-Language Navigation (VLN) Training and Quantitatively Evaluates the Influence of Each Component in the Pipeline Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​ To efficiently connect with numerous tools (APIs) and complete difficult tasks, tool learning attempts to harness the potential of large language models (LLMs). LLMs may significantly increase their value and gain the ability to act as effective middlemen between consumers and the sizable application… Read More »Meet ToolLLM: A General Tool-Use Framework of Data Construction and Model Training that Enhances Large Language Models’ API Usage Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

​ Music caption generation involves music information retrieval by generating natural language descriptions of a given music track. The captions generated are textual descriptions of sentences, distinguishing the task from other music semantic understanding tasks such as music tagging. These models generally use an encoder-decoder… Read More »Meet LP-MusicCaps: A Tag-to-Pseudo Caption Generation Approach with Large Language Models to Address the Data Scarcity Issue in Automatic Music Captioning Rachit Ranjan Artificial Intelligence Category – MarkTechPost

​ With the increasing popularity of Artificial Intelligence (AI), foundation models have demonstrated an amazing ability to handle a variety of problems with only a small amount of information provided by labeled instances. The idea of in-context learning has gained attention with its ability to… Read More »Meet Med-Flamingo: A Unique Foundation Model which is Capable of Performing Multimodal in-context Learning Specialized for the Medical Domain Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​ Advances in AI are being made. Large Language Models (LLMs) are where the quick advancements are happening. Modern LLMs can use tools, plan, and pass standardized assessments. But even to its creators, LLMs are simply mysterious boxes. They don’t know much about how they… Read More »Large Language Models as Tax Attorneys: This AI Paper Explores LLM Capabilities in Applying Tax Law Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

​ Large-scale pretrained language models (LLMs) like OpenAI GPT, Flan-T5, and LLaMA have been substantially responsible for the rapid advancement of NLP. These models perform exceptionally well in a variety of NLP applications. However, problems with computational efficiency and memory utilization arise during fine-tuning due… Read More »Meet LoraHub: A Strategic AI Framework for Composing LoRA (Low-Rank Adaptations) Modules Trained on Diverse Tasks in Order to Achieve Adaptable Performance on New Tasks Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost