I had a gut feeling but now I proved it: People now have A.I. bots running that use ChatGPT to automatically reply to people's tweets
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IBM Launches Digital Self-Serve Co-Create Experience for AI Applications
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We’re excited to introduce the new Digital Self-Serve Co-Create Experience (DSCE) from #IBM Build Lab: https://t.co/gGek0zvYht
— IBM Data, AI & Automation (@IBMData) 19 décembre 2022
^ a prescriptive, wizard-driven experience designed to onboard, scale and differentiate partner applications with embeddable #AI.
—#AIOps #MLOps pic.twitter.com/F81oBh9W7AWe’re excited to introduce the new Digital Self-Serve Co-Create Experience (DSCE) from #IBM Build Lab: https://
ibm.co/3Wpgbbn ^ a prescriptive, wizard-driven experience designed to onboard, scale and differentiate partner applications with embeddable #AI.
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FITM definition for Copilot’s cursor placeholder
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FITM = fill-in-the-middle, models trained to generate text to fill in a placeholder within the prompt rather than complete it from the end. For Copilot, the placeholder is the cursor.
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Copilot’s stage play: a subtle art RLHF aims to replace.
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Nothing I’ve posted to Twitter will teach you as much as this prompt. Every Copilot completion is a tiny stage play for an LLM audience, with your file on stage and a backdrop curtain designed by a procedural script. A masterpiece of the subtle art form RLHF aims to replace.
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Reverse-engineering GitHub Copilot: brilliant notes by @parth007_96
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See @parth007_96
’s brilliant notes on reverse-engineering GitHub Copilot here: https://
thakkarparth007.github.io/copilot-explor
er/posts/copilot-internals
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GitHub Copilot’s implicit prompt engineering creates a competitive moat
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When you hit tab in GitHub Copilot, you’re FITM-completing a prompt of your file with an implicit comment header added, and it takes pages to describe what might be in that header. That’s prompt engineering. That’s a moat.
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GPT-3/LLM prompts as assembly code, need prompt compilers
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I increasingly see GPT‑3/LLM prompts as assembly code, not as human interface. We shouldn’t be writing prompts, but prompt compilers. A template string is not a moat.
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Passport developing solution for upcoming technical challenge
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Passport is working on a solution for that. Will take a bit but definitely something we think we can help with
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Natural Language Processing NLP NLU NLG Speech Recognition
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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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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
