Pebbler @_pebbler
Data | Privacy | AI United States Joined September 2011-
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At Databricks, we've built an awesome model training and tuning stack. We now used it to release DBRX, the best open source LLM on standard benchmarks to date, exceeding GPT-3.5 while running 2x faster than Llama-70B. databricks.com/blog/introduci…
“The fact that [transformer neural nets] model language is probably one of the biggest discoveries in history. That you can learn language by just predicting the next word with a Markov chain—that’s just shocking to me,” Mikhail Belkin says. By @strwbilly. technologyreview.com/2024/03/04/108…
Pretty Amazing Stuff - Starling-7B model, that dropped today, performs almost as well as GPT-4 in everything except math, reasoning and code! Starling in an open-source reward model and uses synthetic data from multiple-models combined with online RLAIF to fine-tune Llama-7B!…
The folks who are hating on open-source LLMs are the same ones who built sub-par proprietary LLMs If you raise billions and your model is worse than the SOTA open-source LLM, you have a problem So they fear monger, claim "safety" issues and want to shut down open-source When…
OpenAI CEO @sama on personalized AI models: "You should be able to write up a few pages of here's what I want, here are my values, here's how I want the AI to behave, and it reads it and thinks about it and acts exactly how you want, because it should be your AI."
Win or lose, respect to @elonmusk for being the man in the arena
1/ NFTs as JPEGS will not be the dominant mental model of what they are in the future. Feels very much like "NFT 1.0" which is probably worth coining because similar to "Web X.0," the scale of NFTs' impact will be similar.
My mom bought some gluten free Indian bread. I asked her how much flour was in it. Turns out, it was NaN.
"Give someone a program, you frustrate them for a day; teach them how to program, you frustrate them for a lifetime." - David Leinweber
“I know not with what technologies Web 3.0 will be built, but Web 4.0 will be built with SQL and HTML.”
Sorry, not ever going to support a two-tiered system in America based on personal health info. Willing to die on this hill.
I had no idea astronauts solve things the same way a software engineer does during an on call rotation.
I'm a dev. My app makes $22k / mo. I just revealed that my server costs are $1200 / mo. Typical dev response: you could save money if you <massive migration to XYZ platform> Reality check: I'm not looking to save a few hundred bucks per month. I'm looking to grow my business.
For those that think that all we need to "solve AGI" is to "train bigger models" (eg GPT4?), I recommend this paper on causal inference in / for NLP as an antidote to such naive thinking: arxiv.org/abs/2109.00725

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