Did they expect this task, and give it enough priority to try to improve it? Are the outputs that are good for my needs going to be ones it was encouraged to produce during training? What prompts did they use, and how can I make mine more like theirs? 7
MACHINE LEARNING
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Emergent Performance: Balancing Algorithm, Data, and Developer Supervision
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If the performance on both tasks is emergent, I should think about the capabilities in terms of the algorithm and the data. But if the supervision is important, I need to include the developers in my mental model. 6
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Distinguishing Emergent vs Supervised Behaviors in ChatGPT
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Some of the things ChatGPT can do are emergent behaviours, picked up from the language or code modelling. Other things it can do have been specifically taught to it. Is there some speculative list somewhere about what tasks were supervised? 1
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Develop High-Value Skills in Tech Healthcare Management Business
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Continuously educate yourself and acquire new skills. Think Tech, Healthcare, Management or Business. The more valuable your skillset, the more likely you are to command a higher salary.
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Neural Networks Enhance Character Learning with Visual Mnemonics
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Check out this 2021 experiment by @azlenelza where characters were augmented with visual mnemonics with the help of neural networks, to make them easier to learn:
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Information Technologies as Intelligence Amplifiers: Machine Learning’s Power
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Information technologies are intelligence amplifiers. Machine learning is the most powerful one to date.
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Synthesizing tuning examples using k-shots with code-davinci-002
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Me too — I'd synthesize the tuning examples using k-shots in code‑davinci‑002. Seems like it would work.
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Philipp Singer Reclaims Top Kaggle Competitions Spot
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Philipp Singer (
@ph_singer
), aka #Psi on #Kaggle, reclaimed the top spot in the competitions category last month. Check out this previous (and still relevant) interview that highlights his insights into #MachineLearning and his remarkable journey. http://
ow.ly/Swy550MqQSs -
Deep Learning’s Economic Impact Falls Short of Expectations
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There's a parallel to deep learning itself — the economic impact of the tech has been ~10% of what folks expected ~8 years ago, and being a provider of deep learning APIs / models has been a rather lousy business. Although individual engineers have done very well for themselves
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Deep Learning Models as Knowledge Retrievers and Action Routers
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Yes, once DL models are used not as raw knowledge stores (which doesn't make a lot of sense) but as knowledge retrievers and action routers, they will be as up-to-date as the underlying database. https://
t.co/yHN13PyJeA