Research
Started a video series on building an orchestration layer for LLM post-training [P]
The search did not return the specific Reddit post. Based on available context from the search results and the post title itself, I cannot accurately summarize the Reddit thread's content without r...
The search did not return the specific Reddit post. Based on available context from the search results and the post title itself, I cannot accurately summarize the Reddit thread's content without risking fabrication. Here is an honest summary based solely on what can be verified:
A Reddit user posted in r/MachineLearning announcing the launch of a video series focused on building an orchestration layer for LLM post-training, shared under the [P] (Project) flair. The specific content, tools, and technical details covered in the video series could not be retrieved from the source URL. No further verifiable details about the series' curriculum, author, or linked resources are available from accessible search results.
Related
- Free tool I built to score dataset quality (LQS) — feedback welcome [D]
- Parax: Parametric Modeling in JAX + Equinox [P]
- [[p-building-a-llm-from-scratch-with-mary-shelleys-frankenstei|[P] Building a LLM from scratch with Mary Shelley's 'Frankenstein' (on Kaggle)]]
- [[p-pca-before-truncation-makes-non-matryoshka-embeddings-comp|[P] PCA before truncation makes non-Matryoshka embeddings compressible: results on BGE-M3 [P]]]
Source: research