Reminds me of my advisor who refused to use figures but rather explain everything through math ..
(@AnthropicAI when is Claude getting an Image Decoder ? )
@sama@sama Ads do not influence the answer, great, but right now the answers are also not influencing the ads. You asked for features in your next model and I am assuming by model you meant not just the LLM
@amanrsanger@amanrsanger did you do mid training/ CPT on Kimi's instruction tuned checkpoint directly ? Did you have access to their pre trained checkpoint ?
@Kimi_Moonshot do you share your pre trained checkpoints as well ?
I can see the paper from the search results but unfortunately I'm hitting https://t.co/3lMKmC2V3M's rate limit so I can't fetch the full text right now. ...
:(
P(next word | past words). Thats it. Thats how magic happens.
If I were to take away 1 "thing" from Sam Bowman's paper, it would be:
"Many important LLM behaviours emerge unpredictably as a byproduct of increasing investment"
I’m sharing a draft of a slightly-opinionated survey paper I’ve been working on for the last couple of months. It's meant for a broad audience—not just LLM researchers. (🧵)
We are thrilled to share that our #federatedlearning workshop at #NeurIPS2021 is now accepting submissions. Please consider submitting your work if you find this topic interesting. More details can be found in the workshop website below: https://t.co/Fibo1OGMZx
cc @AmazonScience
Launched the "Play Something" feature on Netflix today. It's been a long journey and a reminder that simple doesn't always come easy.
Here's the story: https://t.co/rqvawQn0Bw
15 years ago, we launched Amazon S3, which was the start of #AWS as we know it today. Very thankful to our customers, partners, and employees – all of whom have driven this movement that's still in its relatively early days.
Don't miss @adeoras from @netflix present Building an Incrementally Trained, Local Taste Aware, Global Deep Learned Recommender System Model on 11/08 @mlconf. Use this code to save 20% on tickets: https://t.co/MoPh0o1p2c
We're excited for unique presentations on ML research and best practices on 11/08 @mlconf. Some speakers include Franziska Bell, Oscar Celma, @sneha_rajana@adeoras@anithakan@vinayprabhu & more! https://t.co/1iZZllgLb7