It really reminds me of the Dall-E era of AI image-generation. I suspect we're going to see a similar boom in ridiculous AI memes.
INNOVATION
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GitHub Launches GPT-4-Powered Copilot Coding Assistant
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GitHub launches its new GPT-4-powered Copilot coding assistant https://
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DataRobot CTO discusses AI maturity levels and adoption path
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Mark your calendars: On March 30, tune in to hear DataRobot CTO Michael Schmidt's thoughts on the #AI maturity levels and the path to successful adoption of #AI. Register now for the webinar now: https://
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Ideas for Improving Language Models Without New Developments
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reply if you have other ideas about how language models could currently be improved without any new developments and I'll add them to the thread
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Language Models Gaining Access to Tools and APIs
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giving language models access to tools and api’s chatgpt has done this with plug-ins, no longer can you say chatgpt is bad at math or doesn't have access to current info soon every api on the internet will be forced to have language model interaction documentation
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Chained prompt sequences as the future of AI APIs
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using pre-created chained-prompt sequences instead of just one single prompt as api costs continue to decrease this will become more popular, the intermediate prompts will be hidden and only the output will be shown could imagine chatgpt integrating a "prompt marketplace"
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Unlocking Language Models’ Potential Without New Development
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gpt-5 is not needed to 100x the potential these models have we could stop all language model development today and we still haven’t scratched the surface of their capabilities here are a few non-obvious ways language models can be improved without creating any new models:
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Parallel Language Models Orchestrated by Conductor LLM
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running language models in parallel with each one focused on a sub-task, all orchestrated by a conductor language model picture something like a massive tree of GPT models working on answering a single complex prompt
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Local Language Models Using Cloud Models as Plugins
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language models running locally on your machine that treat more complex language models in the cloud like plug-ins
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Talent matters more than formal education in tech
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Pour moi c'est : t'as des gens doué, et des gens pas doués. Qu'ils aient fait des études ou pas, et y'en a pleins qui apprennent sur le tas qui sont encore plus doués. Y'en a qui ont fait des etudes et qui sont pas doués. c'est histoire de personne et de competence pour le bon