​[[{“value”:” Companies across various scales and industries are using large language models (LLMs) to develop generative AI applications that provide innovative experiences for customers and employees. However, building or fine-tuning these pre-trained LLMs on extensive datasets demands substantial computational resources and engineering effort. With the… Read More »Accelerating Mixtral MoE fine-tuning on Amazon SageMaker with QLoRA Aman Shanbhag AWS Machine Learning Blog

​[[{“value”:” As the demand for generative AI continues to grow, developers and enterprises seek more flexible, cost-effective, and powerful accelerators to meet their needs. Today, we are thrilled to announce the availability of G6e instances powered by NVIDIA’s L40S Tensor Core GPUs on Amazon SageMaker. You… Read More »Amazon SageMaker Inference now supports G6e instances Vivek Gangasani AWS Machine Learning Blog

​[[{“value”:” The field of artificial intelligence (AI) continues to evolve, with competition among large language models (LLMs) remaining intense. Despite recent advances pushing the boundaries of what these models can achieve, challenges persist. One of the main difficulties for existing LLMs, such as GPT-4, is… Read More »Google Upgrades Gemini-exp-1121: Advancing AI Performance in Coding, Math, and Visual Understanding Aswin Ak Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Vision models have evolved significantly over the years, with each innovation addressing the limitations of previous approaches. In the field of computer vision, researchers have often faced challenges in balancing complexity, generalizability, and scalability. Many current models struggle to effectively handle diverse visual tasks… Read More »Apple Releases AIMv2: A Family of State-of-the-Art Open-Set Vision Encoders Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Companies across all industries are harnessing the power of generative AI to address various use cases. Cloud providers have recognized the need to offer model inference through an API call, significantly streamlining the implementation of AI within applications. Although a single API call can… Read More »Orchestrate generative AI workflows with Amazon Bedrock and AWS Step Functions Dimitri Restaino AWS Machine Learning Blog

​[[{“value”:” Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon through a single API, along with a broad set of capabilities to… Read More »Build generative AI applications on Amazon Bedrock with the AWS SDK for Python (Boto3) Merlin Naidoo AWS Machine Learning Blog

​[[{“value”:” In this post, we demonstrate the potential of large language model (LLM) debates using a supervised dataset with ground truth. In this LLM debate, we have two debater LLMs, each one taking one side of an argument and defending it based on the previous… Read More »Improve factual consistency with LLM Debates Shayan Ray AWS Machine Learning Blog

​[[{“value”:” This post is part of an ongoing series about governing the machine learning (ML) lifecycle at scale. To view this series from the beginning, start with Part 1. This post dives deep into how to set up data governance at scale using Amazon DataZone… Read More »Governing the ML lifecycle at scale, Part 3: Setting up data governance at scale Ajit Mungale AWS Machine Learning Blog

​[[{“value”:” Today, we are excited to announce the general availability of Amazon Bedrock Flows (previously known as Prompt Flows). With Bedrock Flows, you can quickly build and execute complex generative AI workflows without writing code. Key benefits include: Simplified generative AI workflow development with an… Read More »Amazon Bedrock Flows is now generally available with enhanced safety and traceability Amit Lulla AWS Machine Learning Blog

​[[{“value”:” Amazon Q Business is a conversational assistant powered by generative AI that enhances workforce productivity by answering questions and completing tasks based on information in your enterprise systems, which each user is authorized to access. AWS recommends using AWS IAM Identity Center when you… Read More »Implement secure API access to your Amazon Q Business applications with IAM federation user access management Abhinav Jawadekar AWS Machine Learning Blog