Bootstrap knowledge of LLMs ASAP. With a bias/focus to GPT.
Avoid being a link dump. Try to provide only valuable well tuned information.
Neural network links before starting with transformers.
Updated list / Nov 17 - 2024 | |
Posting - https://posting.sh/ - Terminal Based | |
ATAC - https://github.com/Julien-cpsn/ATAC | |
Rest.nvim - https://github.com/rest-nvim/rest.nvim | |
Slumber - (uses tui client) https://slumber.lucaspickering.me/ |
# [Mamba: Linear-Time Sequence Modeling with Selective State Spaces](https://arxiv.org/abs/2312.00752) | |
import torch | |
import torch.nn as nn | |
import torch.optim as optim | |
from torch.utils.data import DataLoader, Dataset | |
from torch.nn import functional as F | |
from einops import rearrange, repeat | |
from tqdm import tqdm |
Windows Registry Editor Version 5.00 | |
[HKEY_LOCAL_MACHINE\SOFTWARE\Microsoft\Windows NT\CurrentVersion\Image File Execution Options\RememberMe_stage1.exe] | |
"Debugger"="\"C:\\Program Files (x86)\\Steam\\steamapps\\common\\Remember Me\\Binaries\\Win32\\RememberMe_stage2.exe\" -ReadPoolSizeFromIni -DisableTexturePool -USEALLAVAILABLECORES" | |
// The MIT License(MIT) | |
// | |
// Copyright(c) 2022 NVIDIA CORPORATION & AFFILIATES. All rights reserved. | |
// | |
// Permission is hereby granted, free of charge, to any person obtaining a copy of | |
// this software and associated documentation files(the "Software"), to deal in | |
// the Software without restriction, including without limitation the rights to | |
// use, copy, modify, merge, publish, distribute, sublicense, and / or sell copies of | |
// the Software, and to permit persons to whom the Software is furnished to do so, | |
// subject to the following conditions : |
In some cases, only these lines will work
for product in IntelliJIdea WebStorm DataGrip PhpStorm CLion PyCharm GoLand RubyMine; do
rm -rf ~/.config/$product*/eval 2> /dev/null
rm -rf ~/.config/JetBrains/$product*/eval 2> /dev/null
done
But if not, try these
"""A pure Python implementation of Curve25519 | |
This module supports both a low-level interface through curve25519(base_point, secret) | |
and curve25519_base(secret) that take 32-byte blocks of data as inputs and a higher | |
level interface using the X25519PrivateKey and X25519PublicKey classes that are | |
compatible with the classes in cryptography.hazmat.primitives.asymmetric.x25519 with | |
the same names. | |
""" | |
# By Nicko van Someren, 2021. This code is released into the public domain. |
You'll find the talks here
Approaching frontend as a backend developer, Svelte feels surprisingly pythonic. Let's take a quick look at what's familiar, what's foreign, and how to explore the gap.