​[[{“value”:” In recent years, large language models (LLMs) have demonstrated significant progress in various applications, from text generation to question answering. However, one critical area of improvement is ensuring these models accurately follow specific instructions during tasks, such as adjusting format, tone, or content length.… Read More »Microsoft AI Introduces Activation Steering: A Novel AI Approach to Improving Instruction-Following in Large Language Models Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” To stay competitive, businesses across industries use foundation models (FMs) to transform their applications. Although FMs offer impressive out-of-the-box capabilities, achieving a true competitive edge often requires deep model customization through pre-training or fine-tuning. However, these approaches demand advanced AI expertise, high performance compute,… Read More »Generative AI foundation model training on Amazon SageMaker Trevor Harvey AWS Machine Learning Blog

​[[{“value”:” You can now create an end-to-end workflow to train, fine tune, evaluate, register, and deploy generative AI models with the visual designer for Amazon SageMaker Pipelines. SageMaker Pipelines is a serverless workflow orchestration service purpose-built for foundation model operations (FMOps). It accelerates your generative… Read More »Automate fine-tuning of Llama 3.x models with the new visual designer for Amazon SageMaker Pipelines Lauren Mullennex AWS Machine Learning Blog

​[[{“value”:” The generative AI market has expanded exponentially, yet many existing models still face limitations in adaptability, quality, and computational demands. Users often struggle to achieve high-quality output with limited resources, especially on consumer-grade hardware. Addressing these challenges requires solutions that are both powerful and… Read More »Stability AI Releases Stable Diffusion 3.5: Stable Diffusion 3.5 Large and Stable Diffusion 3.5 Large Turbo Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Retrieval-Augmented Generation (RAG) is a growing area of research focused on improving the capabilities of large language models (LLMs) by incorporating external knowledge sources. This approach involves two primary components: a retrieval module that finds relevant external information and a generation module that uses… Read More »FunnelRAG: A Novel AI Approach to Improving Retrieval Efficiency for Retrieval-Augmented Generation Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Alignment with human preferences has led to significant progress in producing honest, safe, and useful responses from Large Language Models (LLMs). Through this alignment process, the models are better equipped to comprehend and represent what humans think is suitable or important in their interactions.… Read More »Meet SynPO: A Self-Boosting Paradigm that Uses Synthetic Preference Data for Model Alignment Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large Language Models (LLMs) have gained significant attention in data management, with applications spanning data integration, database tuning, query optimization, and data cleaning. However, analyzing unstructured data, especially complex documents, remains challenging in data processing. Recent declarative frameworks designed for LLM-based unstructured data processing… Read More »UC Berkeley Researchers Propose DocETL: A Declarative System that Optimizes Complex Document Processing Tasks using LLMs Sajjad Ansari Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The rapid progress of text-to-image (T2I) diffusion models has made it possible to generate highly detailed and accurate images from text inputs. However, as the length of the input text increases, current encoding methods, such as CLIP (Contrastive Language-Image Pretraining), encounter various limitations. These… Read More »LongAlign: A Segment-Level Encoding Method to Enhance Long-Text to Image Generation Nazmi Syed Artificial Intelligence Category – MarkTechPost