ChatGPT prompt dataset just landed in the datasets lib
@thom_wolf
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GPT-3 Training Data: C4 Dataset Technical Details
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(Except that GPT3 is not trained on C4 per se @Francis_YAO_ but it’s a small tweak)
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100 Puppies Trained with RL Deep Learning on Hub Platform
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there are now over 100 puppies trained to play fetch shared on the hub thanks to the new rl deep learning course! So many good bois we should get all of them to play together in a space of the hub
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Virtual Agents and Conversational Interfaces Report Coverage
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what does « virtual agent or conversational interface » cover in the report?
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Academic Research in AI: Key Considerations and Applications
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I was more thinking in terms of academia research but some of your points are also valid there actually
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NLP Research Direction Practical Applications Focus
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I fully agree on my side but there is also an entire part of the NLP research community which is of the opinion that thinking in terms of practical applications is the only way to have a sensible direction and reason for why we are building what we build
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Rethinking Long-term ML Benchmarks and Canonical NLP Applications
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kinda question the value of building long term « tracks » over the years in ML venues. A related thought i have is that « canonical » NLP applications (eg summarization) are maybe actually not what users really want or need and were just progressively crystallized over the years
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Deep Learning Breakthroughs Make Research Agendas Obsolete Quickly
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Maybe one of the most bitter lesson for researchers in DL/ML: an entire research agenda can be rendered moot in a matter of weeks
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Aleph Alpha’s Underestimated AI Research Deserves More Recognition
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The research work from @Aleph__Alpha in Germany is probably underestimated (they do almost zero marketing)