Skip to content

Commit 446f985

Browse files
Merge pull request #1766 from jasonrandrews/spelling
spelling updates
2 parents 191ca87 + 2a3ad1b commit 446f985

File tree

3 files changed

+47
-2
lines changed

3 files changed

+47
-2
lines changed

.wordlist.txt

Lines changed: 45 additions & 0 deletions
Original file line numberDiff line numberDiff line change
@@ -3872,3 +3872,48 @@ upscales
38723872
upscaling
38733873
vl
38743874
webbot
3875+
APKs
3876+
ASR's
3877+
DLRM
3878+
DLRMv
3879+
DeepSeek
3880+
Geremy
3881+
MERCHANTABILITY
3882+
MLPerf’s
3883+
MoE
3884+
NONINFRINGEMENT
3885+
NaN
3886+
OCPU
3887+
OCaml
3888+
Ollama
3889+
Ollama's
3890+
Prefill
3891+
Unsloth’s
3892+
YAMLs
3893+
Yiyang
3894+
bartowski
3895+
bc
3896+
checkboxes
3897+
deepseek
3898+
diy
3899+
fenv
3900+
gguf
3901+
highmem
3902+
inria
3903+
lfs
3904+
lora
3905+
ollama
3906+
opam
3907+
perceptrons
3908+
personalization
3909+
rclone
3910+
screenspace
3911+
significand
3912+
stdbuf
3913+
sublicense
3914+
tok
3915+
truncations
3916+
ulp
3917+
unmangled
3918+
unportable
3919+
zeropoint

content/learning-paths/cross-platform/llm-fine-tuning-for-web-applications/how-to-7.md

Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -1,5 +1,5 @@
11
---
2-
title: Mobile Plartform for Fine Tuning Large Language Model
2+
title: Mobile Platform for Fine Tuning Large Language Model
33
weight: 9
44

55
### FIXED, DO NOT MODIFY

content/learning-paths/servers-and-cloud-computing/multiarch_ollama_on_gke/_index.md

Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -3,7 +3,7 @@ title: Run Ollama's multi-arch container image on GKE with arm64 and amd64 nodes
33

44
minutes_to_complete: 30
55

6-
who_is_this_for: This topic explains how developers can migrate a homogenous amd64 K8s cluster to a hybrid (arm64 and amd64) cluster using a multi-architecture container image on GKE. Ollama is the application used to demonstrate the migration.
6+
who_is_this_for: This topic explains how developers can migrate a homogeneous amd64 K8s cluster to a hybrid (arm64 and amd64) cluster using a multi-architecture container image on GKE. Ollama is the application used to demonstrate the migration.
77

88

99
learning_objectives:

0 commit comments

Comments
 (0)