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​[[{“value”:” In December, we announced the preview availability for Amazon Bedrock Intelligent Prompt Routing, which provides a single serverless endpoint to efficiently route requests between different foundation models within the same model family. To do this, Amazon Bedrock Intelligent Prompt Routing dynamically predicts the response quality… Read More »Use Amazon Bedrock Intelligent Prompt Routing for cost and latency benefits Shreyas Subramanian AWS Machine Learning Blog

​[[{“value”:” This post is co-written with Saibal Samaddar, Tanushree Halder, and Lokesh Joshi from Infosys Consulting. Critical insights and expertise are concentrated among thought leaders and experts across the globe. Language barriers often hinder the distribution and comprehension of this knowledge during crucial encounters. Workshops,… Read More »How Infosys improved accessibility for Event Knowledge using Amazon Nova Pro, Amazon Bedrock and Amazon Elemental Media Services Aparajithan Vaidyanathan AWS Machine Learning Blog

​In the era of generative AI, people have relied on LLM products such as ChatGPT to help with tasks. In the era of generative AI, people have relied on LLM products such as ChatGPT to help with tasks.  Read More  

​[[{“value”:” Yuewen Group is a global leader in online literature and IP operations. Through its overseas platform WebNovel, it has attracted about 260 million users in over 200 countries and regions, promoting Chinese web literature globally. The company also adapts quality web novels into films,… Read More »Amazon Bedrock Prompt Optimization Drives LLM Applications Innovation for Yuewen Group Wang Rui AWS Machine Learning Blog

​[[{“value”:” This post is co-written with Vikram Gundeti and Nate Folkert from Foursquare. Personalization is key to creating memorable experiences. Whether it’s recommending the perfect movie or suggesting a new restaurant, tailoring suggestions to individual preferences can make all the difference. But when it comes… Read More »Build a location-aware agent using Amazon Bedrock Agents and Foursquare APIs John Baker AWS Machine Learning Blog

​[[{“value”:” Large language models (LLMs) have become integral to numerous applications across industries, ranging from enhanced customer interactions to automated business processes. Deploying these models in real-world scenarios presents significant challenges, particularly in ensuring accuracy, fairness, relevance, and mitigating hallucinations. Thorough evaluation of the performance… Read More »Build an automated generative AI solution evaluation pipeline with Amazon Nova Deepak Dalakoti AWS Machine Learning Blog

​[[{“value”:” Home Table of Contents Solving Ordinary Least Squares Using QR Decomposition Overview of Ordinary Least Squares The Linear Regression Model Solving the Ordinary Least Squares Problem What Is QR Decomposition? Orthogonal Matrix Q Upper Triangular Matrix R Gram-Schmidt Process for QR Factorization Gram-Schmidt Algorithm… Read More »Solving Ordinary Least Squares Using QR Decomposition Puneet Mangla PyImageSearch

​Python is one of the most popular languages for machine learning, and it’s easy to see why. Python is one of the most popular languages for machine learning, and it’s easy to see why.  Read More  

​This post is divided into seven parts; they are: – Core Text Generation Parameters – Experimenting with Temperature – Top-K and Top-P Sampling – Controlling Repetition – Greedy Decoding and Sampling – Parameters for Specific Applications – Beam Search and Multiple Sequences Generation Let’s pick… Read More »Understanding Text Generation Parameters in Transformers Adrian Tam MachineLearningMastery.com