​[[{“value”:” Within the field of Artificial Intelligence (AI), system prompts and the notions of zero-shot and few-shot prompting have completely changed how humans engage with Large Language Models (LLMs). These methods improve the effectiveness and utility of LLMs by instructing AI models to produce accurate… Read More »Understanding System Prompts and the Power of Zero-shot vs. Few-shot Prompting in Artificial Intelligence (AI) Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Read Part I of this series here and stay tuned for Part III.To hear directly from the authors on this topic, sign up for the upcoming virtual event on June 20th, and learn more from the Generative AI Success Stories Superstream on June 12th. A possibly… Read More »What We Learned from a Year of Building with LLMs (Part II) Eugene Yan, Bryan Bischof, Charles Frye, Hamel Husain, Jason Liu and Shreya Shankar AI & ML – Radar

​[[{“value”:” Code generation is a field that aims to enhance software development processes by creating tools that can automatically generate, interpret, and debug code. These tools improve efficiency and reduce programming errors, which is crucial for modern software development. Advancements in this area have the… Read More »AutoCoder: The First Large Language Model to Surpass GPT-4 Turbo (April 2024) and GPT-4o in pass@1 on the Human Eval Benchmark Test (90.9% vs. 90.2%) Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Managing files and directories efficiently can be challenging, especially when dealing with large structures. Navigating numerous files to find relevant information often consumes much time and effort. This becomes more complicated when users need to understand or edit multiple files quickly. Traditional file management… Read More »Dir-Assistant: Simplifying File Management with Local and API Language Models Niharika Singh Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Anthropic, a leading AI company, has announced the general availability of Tool Use for their AI assistant, Claude. This innovative feature, also known as “function calling,” allows Claude to interact with external tools provided by developers, significantly expanding its capabilities. Tool Use is accessible… Read More »Anthropic’s Claude AI Takes a Leap Forward with Tool Use/Function Calling Feature Shobha Kakkar Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Over the past few years, AI has profoundly impacted how we use commonplace applications like Microsoft Excel. Excel Tools driven by AI have completely changed the data management game. These Excel AI Tools streamline Excel processes with intelligent technologies. They can clean up sloppy… Read More »Top AI Excel Tools in 2024 Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Vision-Language Models are a pivotal advancement in artificial intelligence, integrating the domains of computer vision and natural language processing. These models facilitate a range of applications, including image captioning, visual question answering, and generating images from text prompts, significantly enhancing human-computer interaction capabilities. A… Read More »Unlocking the Potential of Multimodal Data: A Look at Vision-Language Models and their Applications Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The primary goal of Sign Language Production (SLP) is to create sign avatars that resemble humans using text inputs. The standard procedure for SLP methods based on deep learning involves several steps. First, the text is translated into gloss, a language that represents postures… Read More »SignLLM: A Multilingual Sign Language Model that can Generate Sign Language Gestures from Input Text Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Despite the advancement of artificial intelligence in the field of medical science, these systems have limited application. This limitation creates a gap in developing AI solutions for specific tasks. Researchers from Harvard Medical School, USA; Jawaharlal Institute of Postgraduate Medical Education and Research, India;… Read More »MedVersa: A Generalist Learner that Enables Flexible Learning and Tasking for Medical Image Interpretation Pragati Jhunjhunwala Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Self-supervised features are central to modern machine learning, typically requiring extensive human effort for data collection and curation, similar to supervised learning. Self-supervised learning (SSL) allows models to be trained without human annotations, enabling scalable data and model expansion. However, scaling efforts have sometimes… Read More »Enhancing Self-Supervised Learning with Automatic Data Curation: A Hierarchical K-Means Approach Sana Hassan Artificial Intelligence Category – MarkTechPost