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Canada Must Become the New Leader in AI: The Road to 2029

Unite.AI

A Legacy Written in Code Canadas roots in AI date back to the 1980s, when Geoffrey Hinton arrived at the University of Toronto , supported by early government grants that allowed unconventional work on neural networks. In 2012, Hintons lab stunned the AI community by using neural networks to crush image-recognition benchmarks.

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5 Best Large Language Models (LLMs) (September 2024)

Unite.AI

The field of artificial intelligence is evolving at a breathtaking pace, with large language models (LLMs) leading the charge in natural language processing and understanding. As we navigate this, a new generation of LLMs has emerged, each pushing the boundaries of what's possible in AI.

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Syngenta develops a generative AI assistant to support sales representatives using Amazon Bedrock Agents

Flipboard

Use cases Cropwise AI addresses several critical use cases, providing tangible benefits to sales representatives and growers: Product recommendation – A sales representative or grower seeks advice on the best seed choices for specific environmental conditions, such as “My region is very dry and windy.

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LLMOps: The Next Frontier for Machine Learning Operations

Unite.AI

But more than MLOps is needed for a new type of ML model called Large Language Models (LLMs). LLMs are deep neural networks that can generate natural language texts for various purposes, such as answering questions, summarizing documents, or writing code.

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5 key areas for governments to responsibly deploy generative AI

IBM Journey to AI blog

Generative AI is emerging as a valuable solution for automating and improving routine administrative and repetitive tasks. This technology excels at applying foundation models, which are large neural networks trained on extensive unlabeled data and fine-tuned for various tasks.

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Five machine learning types to know

IBM Journey to AI blog

Many retailers’ e-commerce platforms—including those of IBM, Amazon, Google, Meta and Netflix—rely on artificial neural networks (ANNs) to deliver personalized recommendations. They’re also part of a family of generative learning algorithms that model the input distribution of a given class or/category.

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Decoder-Based Large Language Models: A Complete Guide

Unite.AI

Large Language Models (LLMs) have revolutionized the field of natural language processing (NLP) by demonstrating remarkable capabilities in generating human-like text, answering questions, and assisting with a wide range of language-related tasks. LLMs based on prefix decoders include GLM130B and U-PaLM.