{"schema_version":"onlylabs.public_signal.v1","title":"Google (DeepMind / Gemini) Repo: google-deepmind/egg","description":"Google (DeepMind / Gemini) repo signal with public source context, captured evidence pages, related signals, and data-business radar classification.","url":"https://onlylabs.fyi/signals/bd7992a1-2fac-4cf4-8f65-42af89924754","json_url":"https://onlylabs.fyi/signals/bd7992a1-2fac-4cf4-8f65-42af89924754/signal.json","generated_at":"2026-06-11T02:51:41.977011+00:00","org":{"slug":"google-deepmind","name":"Google (DeepMind / Gemini)","category":"frontier-lab","category_label":"Frontier lab","dossier_url":"https://onlylabs.fyi/labs/google-deepmind","dossier_json_url":"https://onlylabs.fyi/labs/google-deepmind/dossier.json"},"related_urls":{"signal":"https://onlylabs.fyi/signals/bd7992a1-2fac-4cf4-8f65-42af89924754","signal_json":"https://onlylabs.fyi/signals/bd7992a1-2fac-4cf4-8f65-42af89924754/signal.json","source":"https://github.com/google-deepmind/egg","lab_dossier":"https://onlylabs.fyi/labs/google-deepmind","lab_dossier_json":"https://onlylabs.fyi/labs/google-deepmind/dossier.json","analysis":"https://onlylabs.fyi/analysis/google-deepmind","analysis_json":"https://onlylabs.fyi/analysis/google-deepmind/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/google-deepmind/evidence.json","category":"https://onlylabs.fyi/frontier","category_json":"https://onlylabs.fyi/frontier.json","category_feed":"https://onlylabs.fyi/frontier/feed.xml","category_signals_json":"https://onlylabs.fyi/signals.json","topic":null,"topic_signals_json":null,"topic_feed":null,"data_business":null},"answer_pack":{"answer":"Google (DeepMind / Gemini) published google-deepmind/egg (Python). 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Installation `egg` can be installed using `pip`. We recommend using a virtual environment: ```bash python3 -m venv egg_venv source egg_venv/bin/activate pip install --upgrade pip pip install . ``` To run tests, you can install the test dependencies: ```bash pip install .[test] pytest ``` Usage You can run the baseline experiment with the following command: ```bash python3 experiments/baseline/run.py --sweep.num_steps=10 ``` Citing this work Add citation details here, usually a pastable BibTeX snippet: ```..."},"evidence_pages":[{"url":"https://github.com/google-deepmind/egg","final_url":"https://github.com/google-deepmind/egg","title":"google-deepmind/egg repository metadata","http_status":200,"content_type":"application/json","capture_method":"plain","fetched_at":"2026-06-11T02:51:41.977011+00:00","bytes":10481,"raw_path":"7ca395c2687fefc79ea6f8610cd285941ee58d4bc74dc6f101ae38d502e67abc.json","content_hash":"8288fb196b3e3932c82f148c1ca30ae45c84947867b629ba8307d1b5fbad99f0","excerpt_chars":1200,"truncated":true,"excerpt":"google-deepmind/egg Language: Python License: Apache-2.0 Stars: 20 Forks: 5 Open issues: 1 Created: 2026-04-14T20:25:17Z Pushed: 2026-04-15T09:58:07Z Default branch: main Fork: no Archived: no README: egg 🥚 A minimal, CPU-friendly simulation environment for exploring RL on LLMs — before they hatch into full-scale distributed training. <a href=\"egg_logo.png\" target=\"_blank\"> <img src=\"egg_logo.png\" width=\"300\"/> </a> Goals - **Tiny + Transparent**: No big framework, no magic. - **Algorithm-first**: Code should resemble paper pseudocode. - **Rapid iteration**: Launch and test ideas in seconds. - **Insightful**: Concepts here should transfer to larger scale. 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