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05_scheduling/hackernews_alerts.py

@@ -2,7 +2,7 @@
 # lambda-test: false
 # tags: ["featured"]
 # ---
-# # Cron job in the Cloud to search Hacker News
+# # Run cron jobs in the cloud to search Hacker News
 
 # In this example, we use Modal to deploy a cron job that periodically queries Hacker News for
 # new posts matching a given search term, and posts the results to Slack.

06_gpu_and_ml/llm-structured/jsonformer_generate.py

@@ -1,7 +1,7 @@
 # ---
 # lambda-test: false
 # ---
-# # Structured output generation with JSONFormer
+# # Structured output generation with Jsonformer
 #
 # [Jsonformer](https://github.com/1rgs/jsonformer) is a tool that generates structured synthetic data using LLMs.
 # You provide a JSON spec and it generates a JSON object following the spec. It's a

06_gpu_and_ml/stable_diffusion/flux.py

@@ -4,7 +4,7 @@
 # tags: ["use-case-image-video-3d", "featured"]
 # ---
 
-# # Run Flux fast on H100s
+# # Run Flux fast on H100s with `torch.compile`
 
 # In this guide, we'll run Flux as fast as possible on Modal using open source tools.
 # We'll use `torch.compile` and NVIDIA H100 GPUs.

06_gpu_and_ml/text-to-video/mochi.py

@@ -2,7 +2,7 @@
 # cmd: ["modal", "run", "--detach", "06_gpu_and_ml/text-to-video/mochi.py", "--num-inference-steps", "64"]
 # ---
 
-# # Text-to-video AI with Mochi
+# # Text-to-video generation with Mochi
 
 # This example demonstrates how to run the [Mochi 1](https://github.com/genmoai/models)
 # video generation model by [Genmo](https://www.genmo.ai/) on Modal.

06_gpu_and_ml/yolo/finetune_yolo.py

@@ -2,7 +2,7 @@
 # args: ["--no-quick-check"]
 # tags: ["use-case-image-video-3d", "use-case-finetuning"]
 # ---
-# # Object detection with YOLO open source model
+# # Fine-tune open source YOLO models for object detection
 #
 # Example by [@Erik-Dunteman](https://github.com/erik-dunteman) and [@AnirudhRahul](https://github.com/AnirudhRahul/).