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.
# [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 : |
"""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.
First of all, there are some great digital options for playing games. Some work well remotely, some support local play on one device. Some are free, some cost money. Rather than list/compare all the options, here are some to check out on your own: