{"adoption": {"forks": 174, "observed_at": "2026-08-28T04:04:59.636859+00:00", "stars": 1533}, "canonical_url": "https://ross.abutalabs.com/products/llm-internals", "card": {"archived": false, "artifact_type": "learning-resource", "description": "Learn LLM internals step by step - from tokenization to attention to inference optimization.", "domain": ["large-language-models", "deep-learning", "machine-learning", "tutorials", "education"], "enriched": true, "function": ["machine-learning", "llm-inference", "nlp", "developer-tools"], "health_score": 79, "homepage": "https://outcomeschool.com/program/ai-and-machine-learning", "language": null, "license": "Apache-2.0", "license_family": "permissive", "maturity": "active", "member_repos": ["amitshekhariitbhu/llm-internals"], "name": "amitshekhariitbhu/llm-internals", "platform": ["cross-platform"], "pushed_at": "2026-08-19T04:35:36+00:00", "repo": "amitshekhariitbhu/llm-internals", "stars": 1533, "tags": ["llm-internals", "tokenization", "attention-mechanism", "transformers", "bpe", "educational-content", "blogs-and-videos"], "topics": ["attention-is-all-you-need", "attention-mechanism", "large-language-models", "learn-llm", "llm", "llm-internals"], "urls": [], "use_cases": ["learn how llms work internally", "understand tokenization and byte pair encoding", "learn the math behind attention q k v", "understand transformer architecture step by step", "learn inference optimization like kv cache and paged attention", "prepare for ai engineer interviews", "transition from software engineer to llm engineer"], "what_it_is": "A curated collection of blogs and videos teaching how large language models work internally, from tokenization and BPE to attention math and inference optimization. It is maintained by Amit Shekhar of Outcome School and grows over time with new topics.", "when_to_avoid": ["you need a runnable library or code framework for building LLM applications", "you want hands-on training notebooks or exercises rather than explanations", "you need comprehensive coverage of every LLM topic today, as the series is still growing"], "when_to_choose": ["you want conceptual, step-by-step explanations of LLM internals with worked numeric examples", "you prefer learning through blogs and videos rather than code", "you are a developer transitioning into AI/ML roles and need fundamentals"]}, "data_as_of": "2026-08-30T08:39:29.467469+00:00", "members": [{"path": "/products/llm-internals", "repo": "amitshekhariitbhu/llm-internals", "role": "main", "score": 58}], "provenance": {"archived": {"kind": "observed", "observed_at": "2026-08-28T04:04:59.636859+00:00", "source": "github"}, "artifact_type": {"confidence": null, "enriched_at": "2026-08-30T04:31:14.479527+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "38807aff942a07dd317bf8026ef514e5553606ec8b091c24d19fe5001ccf4cbd", "fetched_at": "2026-08-28T04:04:59.636859+00:00", "kind": "readme", "missing": false, "url": "https://github.com/amitshekhariitbhu/llm-internals"}, {"content_hash": "7cb7eb502986c68c0a4eee2ce9985cd7bf3bcf06e7aa18d1fd910acb04816ccf", "fetched_at": "2026-08-29T11:33:34.565325+00:00", "kind": "homepage", "missing": false, "url": "https://outcomeschool.com/program/ai-and-machine-learning"}], "taxonomy_version": 1}, "description": {"kind": "observed", "observed_at": "2026-08-28T04:04:59.636859+00:00", "source": "github"}, "domain": {"confidence": null, "enriched_at": "2026-08-30T04:31:14.479527+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "38807aff942a07dd317bf8026ef514e5553606ec8b091c24d19fe5001ccf4cbd", "fetched_at": "2026-08-28T04:04:59.636859+00:00", "kind": "readme", "missing": false, "url": "https://github.com/amitshekhariitbhu/llm-internals"}, {"content_hash": "7cb7eb502986c68c0a4eee2ce9985cd7bf3bcf06e7aa18d1fd910acb04816ccf", "fetched_at": "2026-08-29T11:33:34.565325+00:00", "kind": "homepage", "missing": false, "url": "https://outcomeschool.com/program/ai-and-machine-learning"}], "taxonomy_version": 1}, "enriched": {"inputs": [], "kind": "computed", "method": "enrichment_status"}, "function": {"confidence": null, "enriched_at": "2026-08-30T04:31:14.479527+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "38807aff942a07dd317bf8026ef514e5553606ec8b091c24d19fe5001ccf4cbd", "fetched_at": "2026-08-28T04:04:59.636859+00:00", "kind": "readme", "missing": false, "url": "https://github.com/amitshekhariitbhu/llm-internals"}, {"content_hash": "7cb7eb502986c68c0a4eee2ce9985cd7bf3bcf06e7aa18d1fd910acb04816ccf", "fetched_at": "2026-08-29T11:33:34.565325+00:00", "kind": "homepage", "missing": false, "url": "https://outcomeschool.com/program/ai-and-machine-learning"}], "taxonomy_version": 1}, "health_score": {"inputs": ["days_since_push", "days_since_release", "archived"], "kind": "computed", "method": "health_v1"}, "homepage": {"kind": "observed", "observed_at": "2026-08-28T04:04:59.636859+00:00", "source": "github"}, "language": {"kind": "observed", "observed_at": "2026-08-28T04:04:59.636859+00:00", "source": "github"}, "license": {"kind": "observed", "observed_at": "2026-08-28T04:04:59.636859+00:00", "source": "github"}, "license_family": {"inputs": ["license"], "kind": "computed", "method": "license_family"}, "maturity": {"confidence": null, "enriched_at": "2026-08-30T04:31:14.479527+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "38807aff942a07dd317bf8026ef514e5553606ec8b091c24d19fe5001ccf4cbd", "fetched_at": "2026-08-28T04:04:59.636859+00:00", "kind": "readme", "missing": false, "url": "https://github.com/amitshekhariitbhu/llm-internals"}, {"content_hash": "7cb7eb502986c68c0a4eee2ce9985cd7bf3bcf06e7aa18d1fd910acb04816ccf", "fetched_at": "2026-08-29T11:33:34.565325+00:00", "kind": "homepage", "missing": false, "url": "https://outcomeschool.com/program/ai-and-machine-learning"}], "taxonomy_version": 1}, "member_repos": {"kind": "observed", "observed_at": "2026-08-28T04:04:59.636859+00:00", "source": "github"}, "name": {"kind": "observed", "observed_at": "2026-08-28T04:04:59.636859+00:00", "source": "github"}, "platform": {"confidence": null, "enriched_at": "2026-08-30T04:31:14.479527+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "38807aff942a07dd317bf8026ef514e5553606ec8b091c24d19fe5001ccf4cbd", "fetched_at": "2026-08-28T04:04:59.636859+00:00", "kind": "readme", "missing": false, "url": "https://github.com/amitshekhariitbhu/llm-internals"}, {"content_hash": "7cb7eb502986c68c0a4eee2ce9985cd7bf3bcf06e7aa18d1fd910acb04816ccf", "fetched_at": "2026-08-29T11:33:34.565325+00:00", "kind": "homepage", "missing": false, "url": "https://outcomeschool.com/program/ai-and-machine-learning"}], "taxonomy_version": 1}, "pushed_at": {"kind": "observed", "observed_at": "2026-08-28T04:04:59.636859+00:00", "source": "github"}, "repo": {"kind": "observed", "observed_at": "2026-08-28T04:04:59.636859+00:00", "source": "github"}, "stars": {"kind": "observed", "observed_at": "2026-08-28T04:04:59.636859+00:00", "source": "github"}, "tags": {"confidence": null, "enriched_at": "2026-08-30T04:31:14.479527+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "38807aff942a07dd317bf8026ef514e5553606ec8b091c24d19fe5001ccf4cbd", "fetched_at": "2026-08-28T04:04:59.636859+00:00", "kind": "readme", "missing": false, "url": "https://github.com/amitshekhariitbhu/llm-internals"}, {"content_hash": "7cb7eb502986c68c0a4eee2ce9985cd7bf3bcf06e7aa18d1fd910acb04816ccf", "fetched_at": "2026-08-29T11:33:34.565325+00:00", "kind": "homepage", "missing": false, "url": "https://outcomeschool.com/program/ai-and-machine-learning"}], "taxonomy_version": 1}, "topics": {"kind": "observed", "observed_at": "2026-08-28T04:04:59.636859+00:00", "source": "github"}, "urls": {"kind": "observed", "observed_at": "2026-08-28T04:04:59.636859+00:00", "source": "github"}, "use_cases": {"confidence": null, "enriched_at": "2026-08-30T04:31:14.479527+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "38807aff942a07dd317bf8026ef514e5553606ec8b091c24d19fe5001ccf4cbd", "fetched_at": "2026-08-28T04:04:59.636859+00:00", "kind": "readme", "missing": false, "url": "https://github.com/amitshekhariitbhu/llm-internals"}, {"content_hash": "7cb7eb502986c68c0a4eee2ce9985cd7bf3bcf06e7aa18d1fd910acb04816ccf", "fetched_at": "2026-08-29T11:33:34.565325+00:00", "kind": "homepage", "missing": false, "url": "https://outcomeschool.com/program/ai-and-machine-learning"}], "taxonomy_version": 1}, "what_it_is": {"confidence": null, "enriched_at": "2026-08-30T04:31:14.479527+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "38807aff942a07dd317bf8026ef514e5553606ec8b091c24d19fe5001ccf4cbd", "fetched_at": "2026-08-28T04:04:59.636859+00:00", "kind": "readme", "missing": false, "url": "https://github.com/amitshekhariitbhu/llm-internals"}, {"content_hash": "7cb7eb502986c68c0a4eee2ce9985cd7bf3bcf06e7aa18d1fd910acb04816ccf", "fetched_at": "2026-08-29T11:33:34.565325+00:00", "kind": "homepage", "missing": false, "url": "https://outcomeschool.com/program/ai-and-machine-learning"}], "taxonomy_version": 1}, "when_to_avoid": {"confidence": null, "enriched_at": "2026-08-30T04:31:14.479527+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "38807aff942a07dd317bf8026ef514e5553606ec8b091c24d19fe5001ccf4cbd", "fetched_at": "2026-08-28T04:04:59.636859+00:00", "kind": "readme", "missing": false, "url": "https://github.com/amitshekhariitbhu/llm-internals"}, {"content_hash": "7cb7eb502986c68c0a4eee2ce9985cd7bf3bcf06e7aa18d1fd910acb04816ccf", "fetched_at": "2026-08-29T11:33:34.565325+00:00", "kind": "homepage", "missing": false, "url": "https://outcomeschool.com/program/ai-and-machine-learning"}], "taxonomy_version": 1}, "when_to_choose": {"confidence": null, "enriched_at": "2026-08-30T04:31:14.479527+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "38807aff942a07dd317bf8026ef514e5553606ec8b091c24d19fe5001ccf4cbd", "fetched_at": "2026-08-28T04:04:59.636859+00:00", "kind": "readme", "missing": false, "url": "https://github.com/amitshekhariitbhu/llm-internals"}, {"content_hash": "7cb7eb502986c68c0a4eee2ce9985cd7bf3bcf06e7aa18d1fd910acb04816ccf", "fetched_at": "2026-08-29T11:33:34.565325+00:00", "kind": "homepage", "missing": false, "url": "https://outcomeschool.com/program/ai-and-machine-learning"}], "taxonomy_version": 1}}, "score": {"components": {"activity": 98, "longevity": 10, "rhythm": 35}, "computed_at": "2026-09-02T17:46:02.011165+00:00", "flags": ["no_releases", "young"], "formula": "round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)", "inputs": {"age_days": 143, "days_push": 14, "days_rel": null, "gap_med": null, "n_releases_24m": 0}, "score": 58, "version": 2}, "staleness": {"enrichment_outdated": false, "low_confidence": false, "scrape_days": 9, "stale_scrape": false}}