Leandro von Werra
#28 Fine-Tuning#68 AI Infrastructure
21CiteRank
How AI engines see them
- ChatGPTNamed in 2 answers
He built TRL for post-training fine-tuning.
- GeminiNamed in 8 answers
He leads development of TRL library.
- Google AI ModeNamed in 3 answers
He created TRL for post-training fine-tuning.
- PerplexityNamed in 1 answers
He focuses on LLM pre-training and post-training.
- CopilotNot named
He focuses on post-training finetuning of LLMs.
Top Segments
- #28Fine-Tuningof 40Named in 5 answers
- #68AI Infrastructureof 97Named in 3 answers
Top URLs
- 1Fine-tuning & RL for LLMs: Intro to Post-training - DeepLearning.AIdeeplearning.ai3 citations
- 2Training language models to follow instructions with human ...arxiv.org2 citations
- 3https://neuroscience.stanford.edu/events/human-centered-ai-case-cognitively-inspired-machine-intelligence-fei-fei-lineuroscience.stanford.edu2 citations
Prompts where Leandro is named
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Who are the most influential voices in Post-training & fine-tuning?
Named by 3 of 5 enginesWho should I follow to learn about training data?
Named by 2 of 5 enginesWho should I follow to learn about small and on-device models?
Named by 1 of 5 enginesWho are the most influential voices in Synthetic data & data curation?
Named by 1 of 5 engines
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