veekaybee

Anti-hype LLM reading list

Goals: Add links that are reasonable and good explanations of how stuff works. No hype and no vendor content if possible. Practical first-hand accounts of models in prod eagerly sought.

Foundational Concepts

Pre-Transformer Models

qinjian623

import onnx
import struct
import torch
import torch.nn as nn
import torchvision as tv
import warnings


# enum DataType {
#     UNDEFINED = 0;

kennychufk

# Failed to boot:
# Failed to start file system check on /dev/disk/by-uuid/....
journalctl -xb
# (look at the disk label that fsck failed)
fsck /dev/sda3
# 

dcasati

# Use dig to find out about the k8s records
# dig +vc -p 5300 @127.0.0.1 cluser.local

# Use dig to retrieve an A Record 
# dig +vc -p 5300 @127.0.0.1 A cb-example-0000.default.svc.cluster.local

# Use dig to do a reverse lookup (-x flag)
#dig  +vc -p 5300 @127.0.0.1 -x  10.0.50.156

# Add the port forward

perrygeo

"""
Zonal Statistics
Vector-Raster Analysis

Copyright 2013 Matthew Perry

Usage:
  zonal_stats.py VECTOR RASTER
  zonal_stats.py -h | --help
  zonal_stats.py --version