colobas

Any idea of how this interacts with Anthropic's ToS for subscription-based use?

I like this answer. Been reading “Gödel’s Proof” and for a demonstration where the definition of “tautology” in the main text makes use of the concepts of True and False, there is an appendix explaining that you can arrive at the same result without those concepts, just by treating things as belonging to one class vs another (there is a one to one correspondence with True and False but the meaning is arbitrary)

The model learns an embedding table, where (roughly) each row is used as the model’s internal representation of each token. The numbers in that table are learned. What isn’t learned is the map from token (i.e. combination of characters/byte-pairs) to row-index in the embedding table. That is given by tokenization

EDIT: removed redundant bit

Can you elucidate on what those signs are? Thanks in advance

Came here to say this

These guys [1] used to be called Nerdalize and iirc their first iteration looked a lot like this. I think they have since moved to a model of a few select locations where nodes are closer to each other.

[1] - https://www.leaf.cloud

EDIT: fixed link

I was just gonna propose something like this. Democratizing large ML models.

I'm very interested. Sent you an e-mail.

Location: 30% Lisbon, PT / 70% Seattle, WA

Remote: yes

Willing to relocate: no

Technologies: Python, Python Data Science stack (pandas, numpy, sklearn, matplotlib, seaborn, ...), PyTorch, Dask, Docker, K8s, git, and whatever is required to make a project happen.

Résumé/CV: https://gpir.es/cv.pdf

Email: [email protected]

A plant-based burger. Lab-grown meat is made from animal cells

In what sense do you mean you "need animal every single meal"? "Need" as in "want really bad, can't live without it", or "need" as in "my body won't function properly without it"?

Also, can you give some examples of the contra-arguments you mentioned?

Thanks

(this is mostly relevant for static blogs)

Location: Seattle

Remote: Yes

Willing to relocate: no

Technologies: Python, Pandas, PyTorch, Machine Learning, Data Science

Résumé/CV: https://gpir.es/cv.pdf

Email: mail [at] gpir [dot] es

Note: Need a visa.

I think you're mistaking Cython (Python extended with C - https://cython.org/) and CPython (the canonical Python implementation, written in C)

Also interested in internships

Location: Lisbon, Portugal (wanting to relocate to Seattle, WA)

Remote: no

Willing to relocate: Yes, to Seattle

Technologies: confident: python data science toolkit (sklearn, pandas, matplotlib, sns, pytorch, ...), machine learning fundamentals; basic/intermediate knowledge: golang, c, docker, kubernetes, mesos

Résumé/CV: https://colobas.github.io/cv.pdf

Email: mail at gpir.es

Does it have python3 support? Tried installing it on a python3.7 environment and it failed

EDIT: I then tried a python3.6 environment and it worked. I guess it answers my question

This super cool! Congrats!