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Rephrasing the Web: A Recipe for Compute and Data-Efficient Language Modeling Apple Machine Learning Research

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​Large language models are trained on massive scrapes of the web, which are often unstructured, noisy, and poorly phrased. Current scaling laws show that learning from such data requires an abundance of both compute and data, which grows with the size of the model being… Read More »Rephrasing the Web: A Recipe for Compute and Data-Efficient Language Modeling Apple Machine Learning Research

BRAG Released: High-Performance SLMs (Small Language Models) Specifically Trained for RAG Tasks Under $25 Each Asif Razzaq Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” BRAG is a series of high-performance Retrieval Augmented Generation (RAG) models developed by Maximalists AI Researcher. The BRAG models are a family of small language models (SLMs) designed to offer cost-effective, high-performance alternatives in AI-driven language processing. These models have been trained at an… Read More »BRAG Released: High-Performance SLMs (Small Language Models) Specifically Trained for RAG Tasks Under $25 Each Asif Razzaq Artificial Intelligence Category – MarkTechPost

Build an end-to-end RAG solution using Knowledge Bases for Amazon Bedrock and AWS CloudFormation Sandeep Singh AWS Machine Learning Blog

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​[[{“value”:” Retrieval Augmented Generation (RAG) is a state-of-the-art approach to building question answering systems that combines the strengths of retrieval and foundation models (FMs). RAG models first retrieve relevant information from a large corpus of text and then use a FM to synthesize an answer… Read More »Build an end-to-end RAG solution using Knowledge Bases for Amazon Bedrock and AWS CloudFormation Sandeep Singh AWS Machine Learning Blog

Catalog, query, and search audio programs with Amazon Transcribe and Knowledge Bases for Amazon Bedrock Nolan Chen AWS Machine Learning Blog

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​[[{“value”:” Information retrieval systems have powered the information age through their ability to crawl and sift through massive amounts of data and quickly return accurate and relevant results. These systems, such as search engines and databases, typically work by indexing on keywords and fields contained… Read More »Catalog, query, and search audio programs with Amazon Transcribe and Knowledge Bases for Amazon Bedrock Nolan Chen AWS Machine Learning Blog

Can Chatbots Reduce Business Costs Dramatically? Expert Opinion and Insights Master Of Code Global Chatbots Life – Medium

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​ The clock strikes 3 AM. A potential buyer is browsing your website, eager to make a purchase, but they have a question. Your support team is fast asleep, and the sale slips away. Sound familiar? Today’s consumers expect instant gratification, and companies are feeling… Read More »Can Chatbots Reduce Business Costs Dramatically? Expert Opinion and Insights Master Of Code Global Chatbots Life – Medium

This AI Paper Introduces a Verbalized Way to Perform Machine Learning and Conducts Several Case Studies on Regression and Classification Tasks Mohammad Asjad Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” Large Language Models (LLMs) have revolutionized problem-solving in machine learning, shifting the paradigm from traditional end-to-end training to utilizing pretrained models with carefully crafted prompts. This transition presents a fascinating dichotomy in optimization approaches. Conventional methods involve training neural networks from scratch using gradient… Read More »This AI Paper Introduces a Verbalized Way to Perform Machine Learning and Conducts Several Case Studies on Regression and Classification Tasks Mohammad Asjad Artificial Intelligence Category – MarkTechPost

Integrating Scikit-Learn and Statsmodels for Regression Vinod Chugani MachineLearningMastery.com

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​[[{“value”:” Statistics and Machine Learning both aim to extract insights from data, though their approaches differ significantly. Traditional statistics primarily concerns itself with inference, using the entire dataset to test hypotheses and estimate probabilities about a larger population. In contrast, machine learning emphasizes prediction and… Read More »Integrating Scikit-Learn and Statsmodels for Regression Vinod Chugani MachineLearningMastery.com

Exploring Probabilistic Search: The Power of the BM25 Algorithm Puneet Mangla PyImageSearch

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​[[{“value”:” Home Table of Contents Exploring Probabilistic Search: The Power of the BM25 Algorithm Probabilities in Search: The Probability Ranking Principle (PRP) The Probability Ranking Principle (PRP) Using Matching Score to Compute Relevance The Okapi BM25 Algorithm The BM25 Score Connection between BM25 Score and… Read More »Exploring Probabilistic Search: The Power of the BM25 Algorithm Puneet Mangla PyImageSearch