MIT researcher helps create AI that beats 90% of humans at Diplomacy, combining language models w/strategic reasoning: https://
bit.ly/3VjWgJN @MetaAI @apjacob03
LLMS
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MIT AI Beats 90% of Humans at Diplomacy Game
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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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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
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The Emerging Market for AI-Driven Plagiarism Detection in Universities
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Spoke with multiple college students who use GPT-3 to write rough drafts of all of their papers. Which begs the question… Who will make the “AI plagiarism” checker for universities? Big opportunity.
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LLMs Face Unclear Use Cases Like Previous NLP Technologies
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The problem with LLMs is what it's always been with NLP: if people can't tell what they're good for and not, they'll wind up not using them for much.
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Recent LangChain Updates and New Features
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A lot of stuff has been added to LangChain recently For a good thread on how we're thinking about it, see the below And of course, check out all the additions at https://
github.com/hwchase17/lang
chain/
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GenSLMs trained on full sequence length in under one day
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"To enable training of the larger models on the full sequence length (10,240 tokens), we leveraged… CS-2… and obtained GenSLMs that converge in less than a day.” ACM article on our award for this research: https://
hubs.li/Q01s-1f40 Full article: https://
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Generative AI Models and Search Engine Citations
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Generation Engines w/ Search Engine Citations?
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AI System Malfunction Responds Only With 42
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anyway its gonna be awhile, seems broken, just says "42" to every prompt?!