| // Claude Code is a Beta product per Anthropic's Commercial Terms of Service. | |
| // By using Claude Code, you agree that all code acceptance or rejection decisions you make, | |
| // and the associated conversations in context, constitute Feedback under Anthropic's Commercial Terms, | |
| // and may be used to improve Anthropic's products, including training models. | |
| // You are responsible for reviewing any code suggestions before use. | |
| // (c) Anthropic PBC. All rights reserved. Use is subject to Anthropic's Commercial Terms of Service (https://www.anthropic.com/legal/commercial-terms). | |
| // Version: 0.2.9 |
Please see my post below on this as sooon as possible! https://gist.github.com/joeblackwaslike/752b26ce92e3699084e1ecfc790f74b2?permalink_comment_id=5716065#gistcomment-5716065
These instructions should work with the latest versions of cursor which requires a much different strategy than the older versions where you could simply point cursor to the MS extension marketplace and call it a day.
| """ | |
| # See https://huggingface.co/intfloat/e5-mistral-7b-instruct for model inference code | |
| ## Quickstart | |
| Install requirements | |
| ```bash | |
| pip install fastapi uvicorn torch transformers | |
| ``` |
this is a rough draft and may be updated with more examples
GitHub was kind enough to grant me swift access to the Copilot test phase despite me @'ing them several hundred times about ICE. I would like to examine it not in terms of productivity, but security. How risky is it to allow an AI to write some or all of your code?
Ultimately, a human being must take responsibility for every line of code that is committed. AI should not be used for "responsibility washing." However, Copilot is a tool, and workers need their tools to be reliable. A carpenter doesn't have to
| import torch | |
| from torch import LongTensor | |
| from torch.nn import Embedding, LSTM | |
| from torch.autograd import Variable | |
| from torch.nn.utils.rnn import pack_padded_sequence, pad_packed_sequence | |
| ## We want to run LSTM on a batch of 3 character sequences ['long_str', 'tiny', 'medium'] | |
| # | |
| # Step 1: Construct Vocabulary | |
| # Step 2: Load indexed data (list of instances, where each instance is list of character indices) |
Find the Discord channel in which you would like to send commits and other updates
In the settings for that channel, find the Webhooks option and create a new webhook. Note: Do NOT give this URL out to the public. Anyone or service can post messages to this channel, without even needing to be in the server. Keep it safe!
| module Elgyem::Agarify | |
| extend ElgyemCommand | |
| AGAR_ALPHABETS = [ | |
| # Exclude the boxed letters because they can look weird in Discord | |
| # [9398, 9399, 9400, 9401, 9402, 9403, 9404, 9405, 9406, 9407, 9408, 9409, 9410, 9411, 9412, 9413, 9414, 9415, 9416, 9417, 9418, 9419, 9420, 9421, 9422, 9423], | |
| # [9424, 9425, 9426, 9427, 9428, 9429, 9430, 9431, 9432, 9433, 9434, 9435, 9436, 9437, 9438, 9439, 9440, 9441, 9442, 9443, 9444, 9445, 9446, 9447, 9448, 9449], | |
| [945, 1074, 162, 8706, 1108, 402, 103, 1085, 953, 1504, 1082, 8467, 1084, 951, 963, 961, 113, 1103, 1109, 1090, 965, 957, 969, 967, 1091, 122], | |
| [65313, 65314, 65315, 65316, 65317, 65318, 65319, 65320, 65321, 65322, 65323, 65324, 65325, 65326, 65327, 65328, 65329, 65330, 65331, 65332, 65333, 65334, 65335, 65336, 65337, 65338], | |
| [65345, 65346, 65347, 65348, 65349, 65350, 65351, 65352, 65353, 65354, 65355, 65356, 65357, 65358, 65359, 65360, 65361, 65362, 65363, 65364, 65365, 65366, 65367, 65368, 65369, 65370], |
| #include <iostream> | |
| #include <cstdio> | |
| #include <cmath> | |
| #include "string.h" | |
| #include "mem.h" | |
| //Wav Header | |
| struct wav_header_t | |
| { | |
| char chunkID[4]; //"RIFF" = 0x46464952 |
