A better name for large language models is infrastructure models.
GENERATIVE AI
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AI Mythical Dragon NFT Whitelist Round 9 Mint
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Old NLP Experts Underestimate Language Models’ Capabilities
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Some old-time NLPers can be closed minded about the "range of tasks" that LMs can do. They are still thinking about LMs through BERT, etc. I rarely see this issue with new-joiners to NLP.
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Building an AI Industry Rankings System with Open Licensing
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A valid complaint. Someone should consider building a CSIndustryrankings. Likely someone from Google, which would probably be on top of such a ranking. But release it with a more restrictive license so we could make a CSRankings equivalent that is receptive to the community 🙂
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MIT AI Beats 90% of Humans at Diplomacy Game
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MIT researcher helps create AI that beats 90% of humans at Diplomacy, combining language models w/strategic reasoning: https://
bit.ly/3VjWgJN @MetaAI @apjacob03 -
Prompt Engineering Techniques Need Refinement For Better Results
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This looked good at first glance but on inspecting further I don't think these are useful Bet you could get there with a bit more careful prompt engineering though!
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Optimizing GPT-3 Prompts Within Token Limits
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Fitting that into the prompt size limit for GPT-3 might be tricky but I bet someone could figure out how to do that
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GPT-3 SQL ORM Integration: Practical Code Generation Examples
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I think this will work: SQL: ORM: Django
SQL: ORM: ActiveRecord
SQL: ORM: SQLAlchemy
SQL: ORM: Then hit go. https://
simonwillison.net/2022/Jun/5/pla
y-with-gpt3/
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Getting Started with GPT-3 Playground Interface Quickly
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Have you spent much time with the GPT-3 Playground interface? You might be shocked at how quickly you can get this working
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Building Systems on GPT-3 with Minimal Example Queries
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I wouldn't be surprised if you could build exactly that on top of GPT-3 using a dozen or so lines of example queries