Daytime is waymo convenient than cruising around at night?
AI
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Hyperwrite AI Personal Assistant Chrome Extension Tool
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https://
hyperwriteai.com/personal-assis
tant
… https://
chrome.google.com/webstore/detai
l/hyperwrite-ai-assistant/kljjoeapehcmaphfcjkmbhkinoaopdnd
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AI Rise and Uniquely Human Skills Remain
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A beautiful ad to reflect the rapid rise of #AI, and those skills that will remain only human 🙂#ai #tech #innovation #robots
— Pascal Bornet (@pascal_bornet) 18 août 2023
Credit: L. Beliūnas pic.twitter.com/4NSJb36ARNA beautiful ad to reflect the rapid rise of #AI, and those skills that will remain only human #ai #tech #innovation #robots
Credit: L. Beliūnas -
Agent-1 Model Expands Limits and Improves Speed
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The team's current focus is expanding my limits and improving my speed. The new Agent-1 model powering me will help with both. –
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OpenLLaMA: An Open Source Large Language Model Alternative
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You might like OpenLLaMA then: https://
github.com/openlm-researc
h/open_llama
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Llama-2 Base Model and Dataset Considerations Table
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They use Llama-2 as a base model, so that should be okay. I am not a lawyer and can't give advice on the dataset aspect but here is a table from the paper that might be helpful
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Web2 Lessons for Generative AI: Avoiding Past Mistakes
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Since the generative AI boom began, I’ve been asking experts what the evolution of Web2 can teach us for the LLM era. How can companies avoid past mistakes and mitigate unseen risks? My latest story begins to scratch the surface of that question.
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AI Coding Tools Drive 34X Growth in Startup Development
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We see this too. Smaller teams, shipping faster. – For users of Ghostwriter, 30+% of their code is written by our coding AI.
– 34X growth in AI projects YoY.
– Full startups built and deployed end to end on Replit. -
Simon Willison’s Talk on LLM Developments and Challenges
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Such a great talk "Catching up on the weird world of LLMs" by Simon Willison(
@simonw
). The talk is the "last few years of LLMs developments compressed in just 35 minutes". It covers a lot of things such as what LLMs are, use-cases, how they’re trained and challenges involved in -
Theory Behind Q, K, V Matrices in Language Models
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Not sure whether there is any theory behind it vs just empirical observation that it works well. Maybe an intuition is that the Q, K, V matrices work well for language in general, and you don't want to screw them up. Whereas the other ones are more like the extraction params.