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​[[{“value”:” Today, we’re announcing the general availability (GA) of multi-agent collaboration on Amazon Bedrock. This capability allows developers to build, deploy, and manage networks of AI agents that work together to execute complex, multi-step workflows efficiently. Since its preview launch at re:Invent 2024, organizations across… Read More »Amazon Bedrock announces general availability of multi-agent collaboration Sri Koneru AWS Machine Learning Blog

​[[{“value”:” Home Table of Contents Hessian Matrix, Taylor Series, and the Newton-Raphson Method Higher-Order Derivatives: The Hessian Matrix Higher-Order Gradients The Hessian Matrix Taylor Series Linearization Taylor Series Expansion Newton-Raphson Method Summary Citation Information Hessian Matrix, Taylor Series, and the Newton-Raphson Method In our previous… Read More »Hessian Matrix, Taylor Series, and the Newton-Raphson Method Puneet Mangla PyImageSearch

​This post is in two parts; they are: • Understanding the Encoder-Decoder Architecture • Evaluating the Result of Summarization using ROUGE DistilBart is a “distilled” version of the BART model, a powerful sequence-to-sequence model for natural language generation, translation, and comprehension. This post is in two… Read More »Understanding the DistilBart Model and ROUGE Metric Muhammad Asad Iqbal Khan MachineLearningMastery.com

​[[{“value”:” The rapid growth of web content presents a challenge for efficiently extracting and summarizing relevant information. In this tutorial, we demonstrate how to leverage Firecrawl for web scraping and process the extracted data using AI models like Google Gemini. By integrating these tools in… Read More »A Coding Implementation of Web Scraping with Firecrawl and AI-Powered Summarization Using Google Gemini Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Generative AI faces a critical challenge in balancing autonomy and controllability. While autonomy has advanced significantly through powerful generative models, controllability has become a focal point for machine learning researchers. Text-based control has become particularly important as natural language offers an intuitive interface between… Read More »Salesforce AI Releases Text2Data: A Training Framework for Low-Resource Data Generation Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Chain-of-Thought (CoT) prompting enables large language models (LLMs) to perform step-by-step logical deductions in natural language. While this method has proven effective, natural language may not be the most efficient medium for reasoning. Studies indicate that human mathematical reasoning does not primarily rely on… Read More »This AI Paper Introduces CODI: A Self-Distillation Framework for Efficient and Scalable Chain-of-Thought Reasoning in LLMs Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Monitoring and extracting trends from web content has become essential for market research, content creation, or staying ahead in your field. In this tutorial, we provide a practical guide to building your trend-finding tool using Python. Without needing external APIs or complex setups, you’ll… Read More »A Step by Step Guide to Build a Trend Finder Tool with Python: Web Scraping, NLP (Sentiment Analysis & Topic Modeling), and Word Cloud Visualization Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Researchers and enthusiasts have been fascinated by the challenge of reverse-engineering complex behaviors that emerge from simple rules in cellular automata for decades. Traditionally, this field takes a bottom-up approach—defining local regulations and observing the patterns arising from them. But what if we could… Read More »Google AI Introduces Differentiable Logic Cellular Automata (DiffLogic CA): A Differentiable Logic Approach to Neural Cellular Automata Sana Hassan Artificial Intelligence Category – MarkTechPost