​[[{“value”:” IncarnaMind is leading the way in Artificial Intelligence by enabling users to engage with their personal papers, whether they are in PDF or TXT format. The necessity of being able to query documents in natural language has increased with the introduction of AI-driven solutions.… Read More »IncarnaMind: An AI Tool that Enables You to Chat with Your Personal Documents (PDF, TXT) Using Large Language Models (LLMs) like GPT Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Seamless access to content and insights is crucial for delivering exceptional customer experiences and driving successful business outcomes. Box, a leading cloud content management platform, serves as a central repository for diverse digital assets and documents in many organizations. An enterprise Box account typically… Read More »Discover insights from Box with the Amazon Q Box connector Senthil Kamala Rathinam AWS Machine Learning Blog

​[[{“value”:” This post is co-written with Aishwarya Gupta, Apurva Gawad, and Oliver Cody from Twilio. Today’s leading companies trust Twilio’s Customer Engagement Platform (CEP) to build direct, personalized relationships with their customers everywhere in the world. Twilio enables companies to use communications and data to… Read More »How Twilio generated SQL using Looker Modeling Language data with Amazon Bedrock Apurva Gawad AWS Machine Learning Blog

​[[{“value”:” Multi-agent planning for mixed human-robot environments faces significant challenges. Current methodologies, often relying on data-driven human motion prediction and hand-tuned costs, struggle with long-term reasoning and complex interactions. Researchers aim to solve two primary issues: developing human-compatible strategies without clear equilibrium concepts and generating… Read More »NYU Researchers Open-Sourced GPUDrive: A GPU-Accelerated Multi-Agent Driving Simulation at 1 Million FPS Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In computer science, code efficiency and correctness are paramount. Software engineering and artificial intelligence heavily rely on developing algorithms and tools that optimize program performance while ensuring they function correctly. This involves creating functionally accurate code and ensuring it runs efficiently, using minimal computational… Read More »ECCO: A Reproducible AI Benchmark for Evaluating Program Efficiency via Two Paradigms- Natural Language (NL) based Code Generation and History-based Code Editing Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” It is a hassle to spin up AI workloads on the cloud. The lengthy training process involves installing several low-level dependencies, which might lead to infamous CUDA failures. It also consists of attaching persistent storage, waiting for the system to boot up for 20… Read More »Meet Felafax: An AI Startup Building an Open-Source AI Platform for Next-Generation AI Hardware, Reducing Machine Learning ML Training Costs by 30% Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​[[{“value”:” LLMs have shown impressive abilities, generating contextually accurate responses across different fields. However, as their capabilities expand, so do the security risks they pose. While ongoing research has focused on making these models safer, the issue of “jailbreaking”—manipulating LLMs to act against their intended… Read More »Securing Function Calls in LLMs: Unveiling and Mitigating Jailbreak Vulnerabilities Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” As AI models become more integrated into clinical practice, assessing their performance and potential biases towards different demographic groups is crucial. Deep learning has achieved remarkable success in medical imaging tasks, but research shows these models often inherit biases from the data, leading to… Read More »AI in Medical Imaging: Balancing Performance and Fairness Across Populations Mahmoud Ghorbel Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Mathematics is crucial in data science as it underpins algorithms and models used for data analysis and prediction. It helps understand data patterns, optimize solutions, and make informed decisions. Learning math is, therefore, essential for mastering statistical methods, machine learning techniques, and effective problem-solving… Read More »Top Mathematics Courses for Data Science/ AI Shobha Kakkar Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Developing efficient language model-based agents is crucial for various applications, from virtual assistants to automated customer service. However, creating these agents can be complex and resource-intensive. One can face challenges in integrating different models, managing actions, and ensuring seamless operation of these intelligent systems.… Read More »Lagent: A Lightweight Open-Source Python Framework that Allows Users to Efficiently Build Large Language Model (LLM)-Based Agents Niharika Singh Artificial Intelligence Category – MarkTechPost