Nathan Lambert @natolambert
Figuring out AI @allen_ai, "rl boi" DM me papers. Writes @interconnectsai, talks @retortai Has phd and some credentials natolambert.com Berkeley, CA Joined December 2014-
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Snowflakes Arctic LLM team must literally be cooking
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do we have confirmation that claude is MoE...? Surely...
wow roon is deadz, anon's cowering, sending support
wow roon is deadz, anon's cowering, sending support
Nathan Lambert retweeted
★ Just published a new episode of The Retort AI Podcast: Llama 3: Can't Compete with a Capuchin. Listen: share.transistor.fm/s/da923f88
More preference data for people to play with in alignment research! It also comes with surveys asking people what their state preferences are! Dataset: huggingface.co/datasets/Hanna…
More preference data for people to play with in alignment research! It also comes with surveys asking people what their state preferences are! Dataset: huggingface.co/datasets/Hanna…
Nathan Lambert retweeted
@natolambert Our models are great at tool use and rag. And they are cheap and reliable enough to take to production. It turns out that creating a good UI/UX in your environment for using our models this way is a significant blocker to adoption. Open sourcing this interface should help :)
A modern version of Pythia? Curious how good the models are.
A modern version of Pythia? Curious how good the models are.
AGI has become a strained symbol in the AI ecosystem, but it doesn't need to be: * The strongest idea leaders use to discuss strategy * A focal point on agency and feedback properties of AI (yes both) * A moving target * A faith movement * The shadow of RL progress pre 2020
AGI has become a strained symbol in the AI ecosystem, but it doesn't need to be: * The strongest idea leaders use to discuss strategy * A focal point on agency and feedback properties of AI (yes both) * A moving target * A faith movement * The shadow of RL progress pre 2020
this is exciting! hasn't crossed the truly open line until all the data and stuff is actually available, but promising model and tons to learn from it.
this is exciting! hasn't crossed the truly open line until all the data and stuff is actually available, but promising model and tons to learn from it.
FYI I also added @cohere's command r plus. Just below llama 3 -- we're starting to get decent judges with open weights. vLLM script for running it is in RewardBench repo :)
FYI I also added @cohere's command r plus. Just below llama 3 -- we're starting to get decent judges with open weights. vLLM script for running it is in RewardBench repo :)
now name them SolidGoldMagikarp and see if the math checks out
now name them SolidGoldMagikarp and see if the math checks out
seems like the new thing to record a selfie video when you release a major artifact. style wars have reached ml lmaoo. me next
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The star pattern on the Australian flag depicts the Southern Cross, a constellation visible primarily in the southern hemisphere
@MKBHD I wish it knew my location well enough to not send my DoorDash to the wrong city (it did).
Great way to end the week with 🌬️ in ⛵ at sunset
📚 A gentle guide to RLHF and alternatives like DPO, SPIN, or ORPO Nice overview of the series of 8 posts 🤯 published in collaboration between @argilla_io and our friends @mantisnlp argilla.io/blog/mantisnlp…
@natolambert I mean we *do* get hungry watching these models train!
@natolambert if that’s metrics i’m afraid how they are gonna describe data
Friends with babies and IC jobs as researchers or SWEs - how did you do it? Stories, details, DMs.
does anyone know how to get vllm to inference 1M tokens for an 8B model? asking for a friend.
@winglian @LoubnaBenAllal1 and @vwxyzjn have used llm-swarm to generation billions of tokens from open LLMs :) github.com/huggingface/ll…
gap in the market just opened up. i wont let you guys down
yacine can't take care of you like i will. i got all your subcontinental mysticism right here!
gap in the market just opened up. i wont let you guys down
feel like pure shit just want him back
Sara and the for.ai team is incredible and I owe them my career. Super lucky I've been able to work with them 💙
when the model turns out better than you thought it would after fine tuning
dario amodei wants me to delete this tweet because it discloses a compute multiplier, but i will not be silenced 😡 instead i will tell you that scaling by a factor of 4 instead of 8 will likely work even better
if you are using LoRA: divide the A matrix learning rate by 8 and multiply the B matrix learning rate by 8. you can thank me later
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