@halfsatori.bsky.social
Reposted
📚 For me, this is the best philosophy book of 2024! 🌟 Highly recommend it to anyone interested in the philosophy of (neuro)science. Plus, it's open access!
Check it out here: direct.mit.edu/books/oa-mon...
#Philosophy #Neuroscience #OpenAccess
Check it out here: direct.mit.edu/books/oa-mon...
#Philosophy #Neuroscience #OpenAccess
December 20, 2024 at 9:39 AM
📚 For me, this is the best philosophy book of 2024! 🌟 Highly recommend it to anyone interested in the philosophy of (neuro)science. Plus, it's open access!
Check it out here: direct.mit.edu/books/oa-mon...
#Philosophy #Neuroscience #OpenAccess
Check it out here: direct.mit.edu/books/oa-mon...
#Philosophy #Neuroscience #OpenAccess
Reposted
I was deeply disappointed by the lack of nature/science/climate/enviro on many major end-of-year book lists—so I decided to make my own!
Introducing: ✨🎁📚 The 2024 Holiday Gift Guide to Nature & Science Books ✨🎁📚
Please share: Let's make this go viral in time for Black Friday / holiday shopping!
Introducing: ✨🎁📚 The 2024 Holiday Gift Guide to Nature & Science Books ✨🎁📚
Please share: Let's make this go viral in time for Black Friday / holiday shopping!
November 27, 2024 at 7:08 PM
I was deeply disappointed by the lack of nature/science/climate/enviro on many major end-of-year book lists—so I decided to make my own!
Introducing: ✨🎁📚 The 2024 Holiday Gift Guide to Nature & Science Books ✨🎁📚
Please share: Let's make this go viral in time for Black Friday / holiday shopping!
Introducing: ✨🎁📚 The 2024 Holiday Gift Guide to Nature & Science Books ✨🎁📚
Please share: Let's make this go viral in time for Black Friday / holiday shopping!
Reposted
Adding my love letter to
arxiv.org/pdf/2304.01315
Empirical Design in Reinforcement Learning
by
Andrew Patterson, Samuel Neumann, Martha White, Adam White
JMLR 25 (2024) 1-63
#ReinforcementLearning
These aren’t the heroes we deserve, but they are the heroes we need.
arxiv.org/pdf/2304.01315
Empirical Design in Reinforcement Learning
by
Andrew Patterson, Samuel Neumann, Martha White, Adam White
JMLR 25 (2024) 1-63
#ReinforcementLearning
These aren’t the heroes we deserve, but they are the heroes we need.
arxiv.org
November 23, 2024 at 1:40 PM
Adding my love letter to
arxiv.org/pdf/2304.01315
Empirical Design in Reinforcement Learning
by
Andrew Patterson, Samuel Neumann, Martha White, Adam White
JMLR 25 (2024) 1-63
#ReinforcementLearning
These aren’t the heroes we deserve, but they are the heroes we need.
arxiv.org/pdf/2304.01315
Empirical Design in Reinforcement Learning
by
Andrew Patterson, Samuel Neumann, Martha White, Adam White
JMLR 25 (2024) 1-63
#ReinforcementLearning
These aren’t the heroes we deserve, but they are the heroes we need.
Show HN: Llama 3.2 Interpretability with Sparse Autoencoders - github.com/PaulPauls/ll...
well documented!
well documented!
GitHub - PaulPauls/llama3_interpretability_sae: A complete end-to-end pipeline for LLM interpretability with sparse autoencoders (SAEs) using Llama 3.2, written in pure PyTorch and fully reproducible.
A complete end-to-end pipeline for LLM interpretability with sparse autoencoders (SAEs) using Llama 3.2, written in pure PyTorch and fully reproducible. - PaulPauls/llama3_interpretability_sae
github.com
November 21, 2024 at 9:44 PM
Show HN: Llama 3.2 Interpretability with Sparse Autoencoders - github.com/PaulPauls/ll...
well documented!
well documented!