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Unifying Neural Network Design with Category Theory: A Comprehensive Framework for Deep Learning Architecture

Marktechpost

In deep learning, a unifying framework to design neural network architectures has been a challenge and a focal point of recent research. This disjointed approach limits developers’ ability to design efficient and tailored models to the unique data structures they process.

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Unlocking LangChain & Flan-T5 XXL | A Guide to Efficient Document Querying

Analytics Vidhya

Introduction A specific category of artificial intelligence models known as large language models (LLMs) is designed to understand and generate human-like text. The term “large” is often quantified by the number of parameters they possess. For example, OpenAI’s GPT-3 model has 175 billion parameters.

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Amperity recognised as a leader in Snowflake’s modern marketing data stack report

AI News

By analysing usage patterns from a pool of approximately 8,100 customers as of April 2023, Snowflake identified ten technology categories that organisations consider when building their marketing data stacks. Activating data means doing something with it to derive valuable outcomes.

ETL 206
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The Fusion of Robotics, AI, and AR/VR: A 2024 Revolution in Manufacturing

Unite.AI

VR simulations, on the other hand, enable manufacturers to design, prototype, and optimize products in virtual environments, minimizing costs, accelerating time-to-market, and fostering innovation. ChatGPT is the latest technology driven by AI that uses natural language processing.

Robotics 333
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New Study: 2018 State of Embedded Analytics Report

Why do some embedded analytics projects succeed while others fail? We surveyed 500+ application teams embedding analytics to find out which analytics features actually move the needle. Read the 6th annual State of Embedded Analytics Report to discover new best practices. Brought to you by Logi Analytics.

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Michael Dougherty, CEO & Co-Founder of Remix AI – Interview Series

Unite.AI

Tellme Networks is a forerunner for what we see in AI platforms today, combining the machine learning models of speech, large data sets to help train and tune those engines, and consumer design to help users delight in using these powerful technologies. We brainstormed how we could enable new experiences in this new category.

AI 317
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SEED-Bench-2-Plus: An Extensive Benchmark Specifically Designed for Evaluating Multimodal Large Language Models (MLLMs) in Text-Rich Scenarios

Marktechpost

meticulously crafted multiple-choice questions covering three broad categories: charts, Maps, and Webs, encompassing diverse real-world scenarios. SEED-Bench-2-Plus presents a comprehensive benchmark comprising 2K multiple-choice questions across three main categories: Charts, Maps, and Webs. It consists of 2.3K