Announcing the updated Microsoft SharePoint connector (V2.0) for Amazon Kendra Udaya Jaladi AWS Machine Learning Blog

Amazon Kendra is a highly accurate and simple-to-use intelligent search service powered by machine learning (ML). Amazon Kendra offers a suite of data source connectors to simplify the process of ingesting and indexing your content, wherever it resides. Valuable data in organizations is stored… Read More »Announcing the updated Microsoft SharePoint connector (V2.0) for Amazon Kendra Udaya Jaladi AWS Machine Learning Blog

Responsible AI at Google Research: PAIR Google AI Google AI Blog

Posted by Lucas Dixon and Michael Terry, co-leads, PAIR, Google Research PAIR (People + AI Research) first launched in 2017 with the belief that “AI can go much further — and be more useful to all of us — if we build systems with people… Read More »Responsible AI at Google Research: PAIR Google AI Google AI Blog

Microsoft AI Releases Guidance: A Next-Gen Language For Prompt Programming Niharika Singh Artificial Intelligence Category – MarkTechPost

Microsoft recently introduced a groundbreaking language called “Guidance,” revolutionizing the landscape of prompt programming. With this innovative language, developers now have the power to generate natural language responses in various formats, creating simple yet sophisticated rules. Similar to established programming languages like Java or… Read More »Microsoft AI Releases Guidance: A Next-Gen Language For Prompt Programming Niharika Singh Artificial Intelligence Category – MarkTechPost

Researchers From China Propose a Generate-and-Edit Approach that Utilizes Execution Results of the Generated Code from LLMs to Improve the Code Quality in the Competitive Programming Task Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

Researchers draw inspiration from the process of human programming to help LLMs do better in competitive programming jobs. The competitive programming job has recently been applied to large language models. This work necessitates accurately implementing solutions that can span hundreds of lines and comprehending… Read More »Researchers From China Propose a Generate-and-Edit Approach that Utilizes Execution Results of the Generated Code from LLMs to Improve the Code Quality in the Competitive Programming Task Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

Meet VideoChat: An End-to-End Chat-Centric Video Understanding System Developed by Merging Language and Visual Models Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

Real-world applications like autonomous driving and human-robot interaction rely heavily on intelligent visual understanding. Current video comprehension methods’ spatial and temporal interpretations do not successfully generalize and instead rely on task-specific fine-tuning of video foundation models. Due to the task-specific tailoring of pre-trained video… Read More »Meet VideoChat: An End-to-End Chat-Centric Video Understanding System Developed by Merging Language and Visual Models Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

Overfitting in Machine Learning Narender Kumar Spark By {Examples}

In the realm of machine learning, achieving high accuracy and generalization on unseen data is the ultimate goal. However, a common challenge that machine learning practitioners face is overfitting. Overfitting occurs when a model performs exceedingly well on the training data but fails to… Read More »Overfitting in Machine Learning Narender Kumar Spark By {Examples}

Machine Learning in Healthcare Narender Kumar Spark By {Examples}

In recent years, the field of healthcare has witnessed significant advancements in technology, and one such breakthrough is the integration of machine learning. Machine learning algorithms have the potential to transform the industry by enhancing patient care, improving diagnostics, and enabling personalized treatment plans.… Read More »Machine Learning in Healthcare Narender Kumar Spark By {Examples}

Stanford Researchers Introduce FrugalGPT: A New AI Framework For LLM APIs To Handle Natural Language Queries Tanushree Shenwai Artificial Intelligence Category – MarkTechPost

Many businesses (OpenAI, AI21, CoHere, etc.) are providing LLMs as a service, given their attractive potential in commercial, scientific, and financial contexts. While GPT-4 and other LLMs have demonstrated record-breaking performance on tasks like question answering, their use in high-throughput applications can be prohibitively… Read More »Stanford Researchers Introduce FrugalGPT: A New AI Framework For LLM APIs To Handle Natural Language Queries Tanushree Shenwai Artificial Intelligence Category – MarkTechPost

Node.js Using Express.js with MongoDB AQSA Spark By {Examples}

Express.js is widely recognized as a Node.js web framework for creating online applications/API and MongoDB is a popular NoSQL document-oriented database. Together with MongoDB and Express.js you can build scalable and flexible web applications. In this article, I will explain how to use MongoDB with… Read More »Node.js Using Express.js with MongoDB AQSA Spark By {Examples}

Researchers Introduce SPFlowNet: An End-To-End Self-Supervised Approach For 3D Scene Flow Estimation Simon Benaïchouche Artificial Intelligence Category – MarkTechPost

The field of scene flow estimation, which seeks to estimate motion between two successive frames of point clouds, is integral to a myriad of applications, from estimating the motion of objects around a vehicle in autonomous driving to analyzing sports movements. The development of… Read More »Researchers Introduce SPFlowNet: An End-To-End Self-Supervised Approach For 3D Scene Flow Estimation Simon Benaïchouche Artificial Intelligence Category – MarkTechPost

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