{"schema_version":"onlylabs.public_signal.v1","title":"Baseten Writing: Fine Tuning Small Open Source Llms To Outperform Large Closed Source Models By 60","description":"Baseten writing signal with public source context, captured evidence pages, related signals, and category-scoped analysis context.","url":"https://onlylabs.fyi/signals/5bbbb35f-59a8-465b-a8fc-5dc2d1591aae","json_url":"https://onlylabs.fyi/signals/5bbbb35f-59a8-465b-a8fc-5dc2d1591aae/signal.json","generated_at":"2026-06-27T01:42:35.871Z","evidence_latest_fetched_at":null,"signal_first_seen_at":"2026-06-26T20:26:31.080988+00:00","org":{"slug":"baseten","name":"Baseten","category":"neocloud","category_label":"Neocloud","dossier_url":"https://onlylabs.fyi/labs/baseten","dossier_json_url":"https://onlylabs.fyi/labs/baseten/dossier.json"},"related_urls":{"signal":"https://onlylabs.fyi/signals/5bbbb35f-59a8-465b-a8fc-5dc2d1591aae","signal_json":"https://onlylabs.fyi/signals/5bbbb35f-59a8-465b-a8fc-5dc2d1591aae/signal.json","source":"https://www.baseten.co/blog/fine-tuning-small-open-source-llms-to-outperform-large-closed-source-models-by-60/","lab_dossier":"https://onlylabs.fyi/labs/baseten","lab_dossier_json":"https://onlylabs.fyi/labs/baseten/dossier.json","analysis":"https://onlylabs.fyi/analysis/baseten","analysis_json":"https://onlylabs.fyi/analysis/baseten/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/baseten/evidence.json","category":"https://onlylabs.fyi/neoclouds","category_json":"https://onlylabs.fyi/neoclouds.json","category_feed":"https://onlylabs.fyi/neoclouds/feed.xml","category_signals_json":"https://onlylabs.fyi/signals.json?category=neocloud","topic":"https://onlylabs.fyi/topics/talking","topic_signals_json":"https://onlylabs.fyi/topics/talking/signals.json?category=neocloud","topic_feed":"https://onlylabs.fyi/topics/talking/feed.xml?category=neocloud","data_business":null},"answer_pack":{"answer":"Baseten published Fine Tuning Small Open Source Llms To Outperform Large Closed Source Models By 60. 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This talking signal gives public context for research themes, product direction, policy, or launch framing. onlylabs links this event to 0 captured evidence pages and 6 related writing signals.","semantic_triples":[{"subject":"Baseten","predicate":"published","object":"Fine Tuning Small Open Source Llms To Outperform Large Closed Source Models By 60","text":"Baseten published Fine Tuning Small Open Source Llms To Outperform Large Closed Source Models By 60."},{"subject":"Fine Tuning Small Open Source Llms To Outperform Large Closed Source Models By 60","predicate":"is classified as","object":"writing signal","text":"Fine Tuning Small Open Source Llms To Outperform Large Closed Source Models By 60 is classified as writing signal."},{"subject":"Fine Tuning Small Open Source Llms To Outperform Large Closed Source Models By 60","predicate":"belongs to","object":"talking desk","text":"Fine Tuning Small Open Source Llms To Outperform Large Closed Source Models By 60 belongs to talking 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