​ Today, we announce the availability of sample notebooks that demonstrate question answering tasks using a Retrieval Augmented Generation (RAG)-based approach with large language models (LLMs) in Amazon SageMaker JumpStart. Text generation using RAG with LLMs enables you to generate domain-specific text outputs by supplying… Read More »Question answering using Retrieval Augmented Generation with foundation models in Amazon SageMaker JumpStart Xin Huang AWS Machine Learning Blog

​ Researchers from the University of California, Berkeley, have developed a system called FastrLap that uses machine learning to teach autonomous vehicles to drive aggressively at high speeds. The system is designed to help self-driving cars navigate a racetrack quickly and efficiently while taking risks… Read More »UC Berkeley Researchers Propose FastRLAP: A System for Learning High-Speed Driving via Deep RL (Reinforcement Learning) and Autonomous Practicing Niharika Singh Artificial Intelligence Category – MarkTechPost

​ Teaching LLM from scratch is challenging because of the extensive time required to understand why fine-tuned models fail; iteration cycles for fine-tuning on small datasets are typically measured in months. In contrast, the tuning iterations for a prompt take place in seconds, but after… Read More »Meet Lamini AI: A Revolutionary LLM Engine Empowering Developers to Train ChatGPT-level Language Models with Ease Tanushree Shenwai Artificial Intelligence Category – MarkTechPost

​ Stability AI has partnered with its AI research lab DeepFloyd to introduce the research version of its latest technology, called DeepFloyd IF. This text-to-image cascaded pixel diffusion model is designed to generate high-quality images from text inputs. The model is available on a non-commercial,… Read More »Stability AI Launches DeepFloyd IF: A High-Performance Text-to-Image Model with Advanced Integration Capabilities Niharika Singh Artificial Intelligence Category – MarkTechPost

​ The $group stage in MongoDB is used for grouping documents based on a specified key(s) in aggregation. The $group stage takes one or more fields as input and returns a new set of documents that have been grouped based on those fields. In this… Read More »MongoDB $group (aggregation) Usage with Examples AQSA Spark By {Examples}

​ The rapid adoption of smart phones and other mobile platforms has generated an enormous amount of image data. According to Gartner, unstructured data now represents 80–90% of all new enterprise data, but just 18% of organizations are taking advantage of this data. This is… Read More »Prepare image data with Amazon SageMaker Data Wrangler Deepmala Agarwal AWS Machine Learning Blog

​ Deep learning efficiency may be improved by doing active research in sparsity. However, greater cooperation between hardware, software, and algorithm research is necessary to take advantage of sparsity and realize its potential in practical applications. Such partnerships frequently call for a versatile toolkit to… Read More »Google AI Introduces JaxPruner: An Open-Source JAX-Based Pruning And Sparse Training Library For Machine Learning Research Aneesh Tickoo Artificial Intelligence Category – MarkTechPost