Just a few years ago, research is mostly sorted by "applications". When folks asked what research you're working on, you're expected to say something like "oh I work in question answering" or "sentiment analysis" or something . In fact, all the conference tracks are sorted as
AI
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RLHF: Training AI Models to Be Safe and Polite
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“In a nutshell, the joke was that in order to prevent A.I. language models from behaving in scary and dangerous ways, A.I. companies have had to train them to act polite and harmless. One popular way to do this is called “reinforcement learning from human feedback,” or R.L.H.F.”
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Gated Recurrent Unit Architecture: Deep Learning Fundamentals
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Gated Recurrent Unit Architecture #DL #AI #RNN #AILabPage #VinsLens @KirkDBorne @SwissCognitive @alvinfoo @mclynd @SpirosMargaris @ipfconline1 @Fabriziobustama @FrRonconi @enricomolinari @ingliguori @schmarzo @asokan_telecom @SBUCloud @terence_mill
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Tech Giants AGI Anxiety Claims Linked to Open Source Threat
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It’s interesting that most of the anxiety inducing claims about AGI comes from people connected to two large tech majors just as open source is a threat to them Neither Chat GPT nor GPT-4 are close to AGI. @SpirosMargaris @Xbond49 @pierrepinna @vonderleyen @Keir_Starmer
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Open Source Guidelines Resist AI Oligopoly Dominance
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Guidelines should entail principles based transparent standards for production level models and not crush open source to protect data and AI oligopolies.
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TGI: Fast Production-Grade Open Source LLM Inference Library
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If you find the Falcon too slow out-of-the-box in the transformers library, you should probably play with the super-fast production-grade OSS inference generation library TGI. Check it out here: https://
github.com/huggingface/te
xt-generation-inference
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TGI: Fastest Open Source LLM Inference Generation Server
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you should use it in the fastest OSS inference generation server out there: TGI (
https://
github.com/huggingface/te
xt-generation-inference
…) Olivier the maintainer has been optimizing it with all his secret knowledge (well not so secret since it's an open-source repository hahaha) -
AI Capability Doubling: Implications for Next 1-2 Years
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These seem like reasonable assumptions with current AI tech. What happens if AI doubles in its capability / reliability over the next 1 – 2 years?
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AI Statement Coverage Raises Ethics and Context Questions
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Very confusing. Something about the Vice article I first saw seemed off (like details about the AI system, training, etc). But the statement that the quotes from his speech were “taken out of context,” and just a “thought experiment” don’t seem to add up either.
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Thought-provoking AI conversation with sci-fi author Ted Chiang
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Of all the AI conversations I’ve been having recently, this was one of the most thought-provoking. For
@ftweekend
, I had lunch with Ted Chiang, whose stories I encourage you all to read to expand your idea of what is possible.