The brain has multiple demand and language systems responsible for various cognitive tasks. MIT researchers found that these systems align w/ML representations of code, potentially helping us understand how our brains read programs: http://
bit.ly/3vb5ehn
AI
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MIT researchers link brain language systems to code ML representations
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OODA Loop 2022: ChatGPT GPT-3 OpenAI Future Analysis
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OODA Loop 2022: The Past, Present, and Future of ChatGPT, GPT-3, OpenAI, NLMs, and NLP https://
oodaloop.com/ooda-original/
disruptive-technology/2022/12/22/ooda-loop-2022-the-past-present-and-future-of-chatgpt-gpt-3-openai-nlms-and-nlp/
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Essential Cybersecurity Checklist for Digital Protection
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#infographic: Essential #Cybersecurity checklist
Via @ingliguori #infosec #cybercrime #cyberthreats #Ransomware #threats #DigitalTransformation #CyberAttack #ArtificialIntelligence #CyberSec #hackers #AI #IIoT #IoT #infosecurity #DevOps #ethicalhacking #IoTSec #CloudSecurity -
Video remains most complete explanation, written version pending
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Unfortunately my video on it remains the most complete explanation of it: https://
youtube.com/watch?v=sqDHBH
9IjRU
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I remain apologetic that I haven't gotten this out in a written form! It's a lot to explain fully, and at all times other things have come up. I'm happy to answer questions -
Zshot: Linking Entity Mentions to Exemplars via Transformers
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Zshot uses a transformers model that links mentions to exemplars you provide to the pipeline component. You can use standard NER mentions with @spacy_io 's built-in models, or you can train your own with https://
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spaCy Extension for Zero-Shot Labeling with Prodigy Integration
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Following up with the theme of zero and few-shot labelling, this spaCy extension by @IBMResearch is super cool, and could be used in combination with our recent Prodigy recipe: https://
github.com/explosion/prod
igy-openai-recipes
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Utilities Automate Asset Performance Management with Digitalization
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By digitalizing and automating asset performance management, utilities can detect, react and resolve issues faster, even preemptively. Find out more: http://
ow.ly/l38U50Ljqir @CyrilCoste @HaroldSinnott via @fogoros #hitachivantara_iiot #sponsored #IIoT #digitaltransformation -

10 Common Data Quality Issues and Solutions
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10 Most Common Data Quality Issues and How to Fix Them: Ensuring data quality guarantees more data-informed decisions. Hence, this article highlights the common data quality issues and ways to overcome them. https://
kdnuggets.com/2022/11/10-com
mon-data-quality-issues-fix.html?utm_source=dlvr.it&utm_medium=twitter&utm_campaign=10-most-common-data-quality-issues-and-how-to-fix-them
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SantaCoder: First LLM with Opted-Out Training Dataset
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So cool to see @BigCodeProject release SantaCoder, afaik the very first LLM trained on an "opted-out" dataset, aka allowing people to opt-out from the training dataset. 1.1B parameters that outperforms larger models on both generation and infilling! https://
huggingface.co/bigcode/santac
oder
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