开启时会模糊预览图，关闭后正常显示
someone tell me what i'm missing here, because the titled claim seems trivially false to me: they define an LLM as a function that maps sequence s in V^k to vector in R^d assume hidden state in n-bit precision. at some point, there are more inputs possible than hidden states: |V|^k > 2^{n * d} k > n d log(2) / log |V| let's take GPT-2: n=16, d=768, V≈50,000 then collisions *must* happen starting at a context window size of 214 tokens this seems actually kind of bad, right?
phd research @cornell // language models, information theory, science of AI
June - Container launch Nov 6 - Containers live in prod Come to our TECH Talk: https://t.co/Jx2ayskkta
Have questions, or building something cool with Cloudflare's Developer products? We're here to help. For help with your account please try @CloudflareHelp
RT @bigeagle_xd: i am honored to have witnessed this great work over the past year. linear attn has great potential in expressiveness but…
We're in a race. It's not USA vs China but humans and AGIs vs ape power centralization. @deepseek_ai stan #1, 2023–Deep Time «C’est la guerre.» ®1
Wow. Feel seen.
AI @amazon. All views personal!
RT @RobbieSap90: Did you know Workers Builds are built on top of Containers? We're able to build the best product for developers when we…
Have questions, or building something cool with Cloudflare's Developer products? We're here to help. For help with your account please try @CloudflareHelp
Me and my 9yr old daughter have a new hobby now.
~20 yrs in web-dev, now mostly Laravel. My Laravel courses: https://t.co/HRUAJdMRZL My Youtube channel: https://t.co/qPQAkaov2F
