​[[{“value”:” In real-world settings, agents often face limited visibility of the environment, complicating decision-making. For instance, a car-driving agent must recall road signs from moments earlier to adjust its speed, yet storing all observations is unscalable due to memory limits. Instead, agents must learn compressed… Read More »GaLiTe and AGaLiTe: Efficient Transformer Alternatives for Partially Observable Online Reinforcement Learning Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Edge AI has long faced the challenge of balancing efficiency and effectiveness. Deploying Vision Language Models (VLMs) on edge devices is difficult due to their large size, high computational demands, and latency issues. Models designed for cloud environments often struggle with the limited resources… Read More »Nexa AI Releases OmniVision-968M: World’s Smallest Vision Language Model with 9x Tokens Reduction for Edge Devices Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Advancements in large language models (LLMs) have revolutionized natural language processing, with applications spanning text generation, translation, and summarization. These models rely on large amounts of data, large parameter counts, and expansive vocabularies, necessitating sophisticated techniques to manage computational and memory requirements. A critical… Read More »Apple Researchers Propose Cut Cross-Entropy (CCE): A Machine Learning Method that Computes the Cross-Entropy Loss without Materializing the Logits for all Tokens into Global Memory Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The rapid advancement of generative AI promises transformative innovation, yet it also presents significant challenges. Concerns about legal implications, accuracy of AI-generated outputs, data privacy, and broader societal impacts have underscored the importance of responsible AI development. Responsible AI is a practice of designing,… Read More »Considerations for addressing the core dimensions of responsible AI for Amazon Bedrock applications Laura Verghote AWS Machine Learning Blog

​[[{“value”:” In Part 1 of this series, we defined the Retrieval Augmented Generation (RAG) framework to augment large language models (LLMs) with a text-only knowledge base. We gave practical tips, based on hands-on experience with customer use cases, on how to improve text-only RAG solutions,… Read More »From RAG to fabric: Lessons learned from building real-world RAGs at GenAIIC – Part 2 Aude Genevay AWS Machine Learning Blog

​[[{“value”:” The Cohere Embed multimodal embeddings model is now generally available on Amazon SageMaker JumpStart. This model is the newest Cohere Embed 3 model, which is now multimodal and capable of generating embeddings from both text and images, enabling enterprises to unlock real value from… Read More »Cohere Embed multimodal embeddings model is now available on Amazon SageMaker JumpStart Breanne Warner AWS Machine Learning Blog

​[[{“value”:” This post is co-written with Mayur Patel, Nick Koenig, and Karthik Jetti from GoDaddy. GoDaddy empowers everyday entrepreneurs by providing all the help and tools to succeed online. With 21 million customers worldwide, GoDaddy’s global solutions help seamlessly connect entrepreneurs’ identity and presence with… Read More »How GoDaddy built Lighthouse, an interaction analytics solution to generate insights on support interactions using Amazon Bedrock Mayur Patel AWS Machine Learning Blog

​[[{“value”:” In the rapidly evolving landscape of AI, generative models have emerged as a transformative technology, empowering users to explore new frontiers of creativity and problem-solving. These advanced AI systems have transcended their traditional text-based capabilities, now seamlessly integrating multimodal functionalities that expand their reach… Read More »Fine-tune multimodal models for vision and text use cases on Amazon SageMaker JumpStart Marc Karp AWS Machine Learning Blog

​[[{“value”:” Principal is a global financial company with nearly 20,000 employees passionate about improving the wealth and well-being of people and businesses. In business for 145 years, Principal is helping approximately 64 million customers (as of Q2, 2024) plan, protect, invest, and retire, while working… Read More »Principal Financial Group uses QnABot on AWS and Amazon Q Business to enhance workforce productivity with generative AI Ajay Swamy AWS Machine Learning Blog

​It’s easy enough to make poor decisions in your machine learning projects that derail your efforts and jeopardize your outcomes, especially as a beginner. It’s easy enough to make poor decisions in your machine learning projects that derail your efforts and jeopardize your outcomes, especially as… Read More »5 Tips for Avoiding Common Rookie Mistakes in Machine Learning Projects Matthew Mayo MachineLearningMastery.com