Here's my conversation with Tim Urban (
@waitbutwhy
), brilliant human and author of a new book (out tomorrow) called What's Our Problem? on the state of modern discourse and politics. It's an instant classic. Also @Liv_Boeree makes an appearance! https://
youtube.com/watch?v=GkZz2I
6sK08
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AI
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Tim Urban Discusses Modern Discourse and Politics Book
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Language Models Can Be Conditioned to Avoid Controversy Through RLHF
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And yet they can be conditioned to be boring and non controversial through RLHF.
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DataRobot Launches Major AI Platform Update for Business Value
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ICYMI – DataRobot has some big product news. Don't miss one of the most exciting product launches in our history! Learn how you can drive business value with the new and exciting capabilities in the DataRobot AI Platform. Register now! #AIVisiontoValue https://
bit.ly/3KeMdU3 -
Investors Betting on Immaculate Disinflation Amid Strong Growth
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Investors seem to be clinging to the idea of the “immaculate disinflation,” where inflation pulls back significantly, even as economic growth remains strong, @StanChart ‘s Steven Englander says.
@akaneotani
#economy #markets -
Empowering Users Beyond Their Expectations
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Few things more fun than working closely with users to help them succeed beyond what they thought possible.
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Genome-Scale Language Models Learn SARS-CoV-2 Evolutionary Landscape
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Tomorrow @argonne
's Arvind Ramanathan shares with our community how his team built genome-scale language models that can learn the evolutionary landscape of SARS-CoV-2 genomes. This research won the 2022 ACM Gordon Bell Special Prize. Join us! https://
hubs.li/Q01CV9rF0 -
Build Trusted Lakehouse Deliver Data Insights Census
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First step: Create a #Lakehouse that your organization trusts & utilizes Second step: Use @census
’s reverse ETL to deliver trustworthy data and insight from Databricks to all the tools used by your sales, marketing & ops teams Learn how -
GPT Implementation in 60 Lines of NumPy and JAX
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Late to the party but "GPT in 60 Lines of NumPy" / picoGPT is nicely done: https://
jaykmody.com/blog/gpt-from-
scratch/
…
– good supporting links/pointers
– flexes some of the benefits of JAX: 1) trivial to port numpy -> jax.numpy, 2) get gradients, 3) batch with jax.vmap
– inferences gpt-2 checkpoints -
Model Observability: Future-Proofing Your ML Strategy
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How can you stay on top of the growing number of production #models and issues interfering with their performance? It’s all about model #observability. Find out how it can help you future-proof your #ML strategy. https://
bit.ly/3x9pHUS