​[[{“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

​[[{“value”:” Large language models (LLMs), useful for answering questions and generating content, are now being trained to handle tasks requiring advanced reasoning, such as complex problem-solving in mathematics, science, and logical deduction. Improving reasoning capabilities within LLMs is a core focus of AI research, aiming… Read More »Salesforce AI Research Introduces LaTRO: A Self-Rewarding Framework for Enhancing Reasoning Capabilities in Large Language Models Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Say goodbye to frustrating AI outputs—Anthropic AI’s new console features put control back in developers’ hands. Anthropic has made building dependable AI applications with Claude simpler by improving prompts and managing examples directly in the console. The Anthropic Console allows users to build with… Read More »Anthropic Introduces New Prompt Improver to Developer Console: Automatically Refine Prompts With Prompt Engineering Techniques and CoT Reasoning Nishant N Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Optimization theory has emerged as an essential field within machine learning, providing precise frameworks for adjusting model parameters efficiently to achieve accurate learning outcomes. This discipline focuses on maximizing the effectiveness of techniques like stochastic gradient descent (SGD), which forms the backbone of numerous… Read More »Eliminating Fixed Learning Rate Schedules in Machine Learning: How Schedule-Free AdamW Optimizer Achieves Superior Accuracy and Efficiency Across Diverse Applications Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large Language Models (LLMs) have revolutionized various domains, with a particularly transformative impact on software development through code-related tasks. The emergence of tools like ChatGPT, Copilot, and Cursor has fundamentally changed how developers work, showcasing the potential of code-specific LLMs. However, a significant challenge… Read More »Meet OpenCoder: A Completely Open-Source Code LLM Built on the Transparent Data Process Pipeline and Reproducible Dataset Mohammad Asjad Artificial Intelligence Category – MarkTechPost