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Comprehensive Guide: Top Computer Vision Resources All in One Blog

Mlearning.ai

I planned to add topics in a systematic way as we work on a computer vision project. Examples that fall within a specific topic or domain are typically included in datasets. After spending 2+ years in this field, I have found many interesting and helpful resources that will help you in your computer vision work.

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Getting ready for artificial general intelligence with examples

IBM Journey to AI blog

Imagine a world where machines aren’t confined to pre-programmed tasks but operate with human-like autonomy and competence. A world where computer minds pilot self-driving cars, delve into complex scientific research, provide personalized customer service and even explore the unknown.

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Unleashing the power of generative AI: Verisk’s journey to an Instant Insight Engine for enhanced customer support

AWS Machine Learning Blog

Verisk’s FAST platform is a leader in the life insurance and retirement sector, providing enhanced efficiency and flexible, easily upgradable architecture. Verisk’s FAST platform is a leader in the life insurance and retirement sector, providing enhanced efficiency and flexible, easily upgradable architecture.

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The Ascent of ChatGPT

ODSC - Open Data Science

Additionally, the first open-source equivalent of ChatGPT has arrived with PaLM-rlhf-pytorch which is an implementation of RLHF on top of Google’s 540 billion parameters PaLM architecture. Additionally, Microsoft plans to invest $10 billion in OpenAI. ChatGPT is a next-generation language model (referred to as GPT-3.5)

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The ChatGPT list of lists: A collection of 1500+ useful, mind-blowing and strange use-cases…

Mlearning.ai

1x: How to use it 1x: Nice intro piece of Google Chief Decision Scientist and blogger Cassie Kozyrkov 1x: Praise of ChatGPT by Alberto Romero 1x: Understanding the underlying architecture, the Transformer models — pretty complex — but worth a look even if you cannot grasp everything. Image credit: Author, Midjourney. Oh, ChatGPT!

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5000x Generative AI: Intro, Overview, Models, Prompts, Technology, Tools, Comparisons & the Best…

Mlearning.ai

Each section of this story comprises a discussion of the topic plus a curated list of resources, sometimes containing sites with more lists of resources: 20+: What is Generative AI? And it will change everything. Let us dive into the wild world of genAI. Classic AI models are usually focused on a single task. Image credit: Yang, Jingfeng et.

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Natural Language Assessment: A New Framework to Promote Education

Google Research AI blog

In situations where there may not be a “correct” answer, NLA can offer subtle insights that include topicality, relevance, verbosity, and beyond. a concrete textual answer, a set of topics we expect the answer to cover, conciseness) An answer provided by the student An assessment output (e.g., Optional] A context (e.g.,