In this @Cognilytica #AIToday #podcast AI Glossary Series episode 'Natural Language Processing (NLP), NLU, NLG, Speech-to-Text, TTS, Speech Recognition' hosts @rschmelzer & @kath0134 define these terms & share how they fit into #AI. Full episode: https://
cognilytica.com/2022/12/16/ai-
today-podcast-ai-glossary-series-natural-language-processing-nlp-nlu-nlg-speech-to-text-tts-speech-recognition/?utm_source=dlvr.it&utm_medium=twitter
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#NLP
RESEARCH
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Natural Language Processing NLP NLU NLG Speech Recognition
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AI Debate 2: Building Ethical and Trustworthy Artificial Intelligence
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AI DEBATE 2 "It takes a village to raise an AI that’s ethical, robust, and trustworthy" – Gary Marcus Official Video: https://
youtu.be/VOI3Bb3p4GM http://
MONTREAL.AI Debates Series #MontrealAI #AIDebate #AIDebate2 -
Language AI Creativity Surge Prompts European Bias Scrutiny
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Language processing AI becomes viral hit by pushing boundaries of creativity; European watchdog raises bias concerns over AI. #ArtificialIntelligence #NLP #AI #MachineLearning #ML #bias #Robotics #IoT #bot #100DaysOfCode #Technology https://
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Code Capture as Foundation for RLHF Self-Bootstrapping
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“capture code” could be a very cool basis for RLHF/retraining. this thing is bootstrapping itself!
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Telemetry Insights and Alternative Metrics for AI Suggestion Success
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enjoyed the telemetry bit, shows how much they care about reporting success of this thing perhaps time based measurement might be buggy if eg i walk away from my desk after seeing a horrible suggestion perhaps could measure based on #’s of edits after a suggestion was accepted
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Model Prediction Challenges and Product Differentiation in AI
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this is definitely a tough issue…given how unpredictable research it is, it's hard for us to predict exactly when a model will be ready or what it will be capable of. but generally speaking its safe to assume models will get much better. product differentiation is good!
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ChatGPT++ for Scientific Discovery: Possibilities and Requirements
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I guess I'm a bit more interested in chatgpt++ for scientific discovery more broadly and what that would take / look like.
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Steering LLMs with AI Alignment and Robotic Laws
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Good reading on AI alignment, I've been wondering how one could steer LLMs with an equivalent of Three Laws of Robotics
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Optimizing ChatGPT++ with Reinforcement Learning for Better Parameters
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yes having no heat cycle is such a big deal chatgpt++ can probably help some, but i suspect RL for optimizing the input parameters can help a lot!
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Model reveals current date despite training data end in 2021
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Expanding on a (private account) reply: Its response reliably contains the current date, information it could not learn from its training data, which ends 2021-09. In all other contexts it reliably pretends not to know the current date and will guess incorrectly if asked.