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@mustafaturan
mustafaturan / chunk.go
Created February 5, 2019 07:00
Go / Chunk Slice
# https://play.golang.org/p/JxqibtHkuO-
func chunkBy(items []string, chunkSize int) (chunks [][]string) {
for chunkSize < len(items) {
items, chunks = items[chunkSize:], append(chunks, items[0:chunkSize:chunkSize])
}
return append(chunks, items)
}
@likid0
likid0 / ceph.conf
Last active August 11, 2025 03:48
RHCS on All Flash Cluster : Performance Blog Series : ceph.conf template file
### PLEASE TAKE IN ACCOUNT THIS FILE IS CONFIGURED FOR BECHNMARK TESTING OF CEPH NOT PRODUCTION USE
[client]
rbd cache = False
[client.openstack]
admin socket = /var/run/openstack/$cluster-$type.$id.$pid.$cctid.asok
log file = /var/log/ceph/qemu-guest-$pid.log
@likid0
likid0 / tuned.conf
Created May 1, 2019 12:36
RHCS on All Flash Cluster : Performance Blog Series : tuned.conf profile for ceph nodes
cat /usr/lib/tuned/ceph-tuned/tuned.conf
[main]
summary=ceph_perf
[cpu]
governor=performance
energy_perf_bias=performance
min_perf_pct=100
force_latency=1
@veekaybee
veekaybee / chatgpt.md
Last active October 16, 2025 08:47
Everything I understand about chatgpt

ChatGPT Resources

Context

ChatGPT appeared like an explosion on all my social media timelines in early December 2022. While I keep up with machine learning as an industry, I wasn't focused so much on this particular corner, and all the screenshots seemed like they came out of nowhere. What was this model? How did the chat prompting work? What was the context of OpenAI doing this work and collecting my prompts for training data?

I decided to do a quick investigation. Here's all the information I've found so far. I'm aggregating and synthesizing it as I go, so it's currently changing pretty frequently.

Model Architecture