
Tasty Treats for Web Developers with @wesbos @stolinski and @codinggarden Brought to you by @sentry
Joined May 2016
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Syntax retweeted
I made a Syntax themed Game Boy Color game.
youtube.com/watch?v=POylAyrY…
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Jev is an extremely cheap and fast classifier that can replace long LLM prompts in your workflows with more deterministic answers and actions. I break down what that means, how it works and show several demos of Jev in action in my latest video.
Watch: youtube.com/watch?v=QbYBRjOa…
After co-inventing ChatGPT, I kept asking myself: why have superhuman chat models not led to AGI?
I’ve spent the last 2 years in stealth building a new way to train models (RLCD), and a new type of frontier AI model that we are releasing today: Jev
• 20-200x faster
• 40-400x cheaper (w/ output tokens free)
• Frontier composable intelligence optimized for decisions
AFAICT the shortest path to AI-based economic revolution
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We're at a point where coding without an isolation mechanism or sandbox is way too risky.
Use containers at a minimum, VMs if you have enough resources or a remote machine with either of these if you can.
Watch 🍿: youtube.com/watch?v=-ulRSvQI…
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I’m exploring the mental health effects of AI coding. This is a super quick (blazing fast), anonymous survey.
Please fill out and share so that the responses will be well rounded.
forms.gle/EjpPMoubFS9RX6kb7
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There are a lot of questions and misconceptions about open weight models. I break it all down here so even nontechnical folks can understand.
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The full pipeline of LLMs explained, excerpt from my video "I Built an LLM From Scratch"
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Just finished watching @syntaxfm / @CodingGarden explaining LLM.
youtube.com/watch?v=YmLp8qe8…
Recommended!
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The output of a transformer (LLM) is a score (logit) for every possible next token. We then use temperature, softmax, top-p and sampling to choose the next token, excerpt from my video "I Built an LLM From Scratch"
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The transformer architecture that powers modern LLMs explained, excerpt from my video "I Built an LLM From Scratch"
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A brief history of neural networks, excerpt from my video "I Built an LLM From Scratch"
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Thank you to everyone who joined us for the JSNation & @ReactSummit pre-party yesterday🎉
It was fantastic to see everyone connecting & hanging out. Huge thanks to @syntaxfm for hosting such an amazing show as part of the celebration.
Loved seeing❤️so many smiles & laughs!
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Hello from #ReactSummit
@stolinski talk was fantastic!













