​ Artificial Intelligence and Machine Learning are the trending fields of today’s time. With the immense progress being made in AI, new innovations are transforming the way humans interact with machines. Reasoning in human intelligence is a significant part of Artificial Intelligence. A number of… Read More »Can LLMs Generate Mathematical Proofs that can be Rigorously Checked? Meet LeanDojo: An Open-Source AI Playground With Toolkits, Benchmarks, and Models for Large Language Models to Prove Formal Theorems in the Lean Proof Assistant Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​ In an exciting breakthrough in the Chinese language AI market, Baidu, the renowned search engine provider, has unveiled its latest model, Ernie 3.5. A large Chinese language model that has been claimed to surpass its counterparts, ChatGPT3 and even GPT4 by Baidu, in several… Read More »Baidu Ernie 3.5 Emerges as Champion in Chinese Language AI: But Is It Really Better Than ChatGPT? Anant shahi Artificial Intelligence Category – MarkTechPost

​ Large Language Models (LLMs) have proven to be really effective in the fields of Natural Language Processing (NLP) and Natural Language Understanding (NLU). Famous LLMs like GPT, BERT, PaLM, etc., are being used by researchers to provide solutions in every domain ranging from education… Read More »Meet ToolQA: A New Dataset that Evaluates the Ability of Large Language Models (LLMs) to Use External Tools for Question Answering Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​ How to parse JSON String in Kotlin? JSON(JavaScript Object Notation) is a very popular data interchange format. This is used extensively in web applications for data transfer between the APIs. Other programming languages also support the JSON format, you first need to parse it… Read More »How to parse JSON in Kotlin? Asif Spark By {Examples}

​ A group of researchers from the University of Washington, Stanford, AI2, UCSB, and Google recently developed the OpenFlamingo project, which aims to build models similar to those DeepMind’s Flamingo team. OpenFlamingo models can handle any mixed text and image sequences and produce text as… Read More »With Five New Multimodal Models Across the 3B, 4B, and 9B Scales, the OpenFlamingo Team Releases OpenFlamingo v2 which Outperforms the Previous Model Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​ Large Language Models (LLMs) have transformed natural language understanding in recent years, demonstrating remarkable aptitudes in semantic comprehension, query resolution, and text production, particularly in zero-shot and few-shot environments. As seen in Fig. 1(a), several methods have been put forth for using LLMs on… Read More »Contextual AI Introduces LENS: An AI Framework for Vision-Augmented Language Models that Outperforms Flamingo by 9% (56->65%) on VQAv2 Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

​ The Segment Anything Model (SAM) is a newer proposal in the field. It’s a vision foundation concept that’s been hailed as a breakthrough. It may employ multiple possible user involvement prompts to segment any object in the image accurately. Using a Transformer model that… Read More »Meet FastSAM: The Breakthrough Real-Time Solution Achieving High-Performance Segmentation with Minimal Computational Load Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​ Open-vocabulary object detection is a critical aspect of various real-world computer vision tasks. However, the limited availability of detection training data and the fragility of pre-trained models often lead to subpar performance and scalability issues. To tackle this challenge, the DeepMind research team introduces… Read More »Web-Scale Training Unleashed: Deepmind Introduces OWLv2 and OWL-ST, the Game-Changing Tools for Open-Vocabulary Object Detection, Powered by Unprecedented Self-Training Techniques Niharika Singh Artificial Intelligence Category – MarkTechPost

​ Cost of poor quality is top of mind for manufacturers. Quality defects increase scrap and rework costs, decrease throughput, and can impact customers and company reputation. Quality inspection on the production line is crucial for maintaining quality standards. In many cases, human visual inspection… Read More »Democratize computer vision defect detection for manufacturing quality using no-code machine learning with Amazon SageMaker Canvas Brajendra Singh AWS Machine Learning Blog