# AI大模型学习不迷路 (@26805001632) on xiaohongshu

- id: koinon:creator:xiaohongshu_26805001632
- url: https://koinonlink.com/kol/xiaohongshu/26805001632
- schema_version: 1.4

## Identity
- platform: xiaohongshu
- handle: 26805001632
- platform_url: https://www.xiaohongshu.com/user/profile/667fbd76000000000b031608
- country: China
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 5300
- posts_observed: 2
- verified: false
- size_tier: nano

## Engagement
- status: not_collected
- status_note: Engagement has not been collected for this creator yet. This is a gap in our collection, NOT a statement that the creator has no engagement. Follower count is known, so it is measurable.
- unit_note: engagement_rate and peak_post_engagement_rate are ratios (0-1); avg_interactions_per_post and best_post_interactions are absolute counts. Read status before reading any number: a null rate has several different causes and status says which one applies here.

## Content
- category: software
- subcategory: ai_tools
- category_confidence: 0.98
- category_source: derived_from_recent_content
- topics: 大模型学习路径与强度规划, RAG、Agent、知识库搭建实战, 大模型面试八股与高频考点, LoRA微调、LangChain等技术项目, 免费LLM课程与书籍推荐, DeepSeek+Dify等零成本本地部署
- bio: RED ID: 26805001632

## Audience (inferred)
- status: present
- description: Programmers and AI practitioners looking to learn and apply large models, primarily technical doers focused on getting hands-on with RAG, Agents, knowledge base building, and interview prep
- roles: dev
- seniority: learner
- pain_points: Unclear learning path for large models leads to wasted time and detours, Too many interview 
- posts_analysed: 40
- confidence: 0.75

## Commercial (inferred)
- audience_buyer_fit: 0.8
- promotion_intent: 0.7
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 58
- authenticity_basis: platform_default
- credibility_score: 40
- flagged_for_review: false
- koinon_bd_grade: A — measures Koinon partner-outreach fit, not creator quality
- interpretation: Signals for triage, not verdicts. A flag means the profile is worth a manual check.

## Evidence
- [xiaohongshu_26805001632#abfc9276] 挖到宝了😭几乎把大模型讲得透透的 / #大模型[话题]# #大模型应用[话题]# #人工智能[话题]# #LLM[话题]# #大模型微调[话题]##AI大模型[话题]# #大模型黑书[话题]# #大模型训练[话题]# #大模型面试[话题] / 周末无聊搭建多Agent协同的医疗问诊系统 / 好用到哭！ (https://www.xiaohongshu.com/user/profile/667fbd76000000000b031608)
- [xiaohongshu_26805001632#d977087b] #人工智能[话题]# #大模型[话题]# #大模型应用[话题]# #AI大模型[话题]# #LLM[话题]# #程序员[话题]# #知识库[话题]# #agent[话题]# #大语言模型[ / 突然发现这份知识库搭建手册真的配享太庙！ / 上班无聊用chatGPT搭建了一个自己的专有知识库，好用到哭！！
- [xiaohongshu_26805001632#f22033ff] #产品经理[话题]# #人工智能[话题]# #大模型[话题]# #AI产品经理[话题]# #程序员[话题]# #大模型应用[话题]# / 给大家普及一下学习大模型，需要达到的强度 / #程序员[话题]# #人工智能[话题]# #AI[话题]# #大模型[话题]# #AI人工智能[话题]# #大模型应用[话题]# #ai大模型[话题]# #LLM[话题]# #大语言模型[话题]# # / 大模型面试考点，7大背完赢过99%的竞争者! / #大模型[话题]# #程序员[话题]# #人工智能[话题]# #秋招[话题]# #社招[话题]# #留学生[话题]# #

## Provenance
Every inferred field below carries how it was produced. Facts stay facts; inferences stay inferences.

- audience.description: source_type=ai_inferred, confidence=0.75, freshness_days=54, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.75, freshness_days=54, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.75, freshness_days=54, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=54, method=llm_scorer — Relative signal within Koinon indexing, not a market-wide score.
- commercial.promotion_intent: source_type=ai_inferred, confidence=0.6, freshness_days=54, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=68, method=profile_snapshot_and_engagement_ratio_heuristic — Means "worth a manual check", NOT confirmed fraud. Flags can be wrong and are not a verdict about the person.
- quality.authenticity_score: source_type=heuristic, confidence=0.25, freshness_days=54, method=Fixed value 58, pending engagement collection. Not a measurement. — The input set differs by platform; do not compare this score across platforms.
- quality.koinon_bd_grade: source_type=ai_inferred, confidence=0.5, freshness_days=68, method=llm_partner_fit_classifier + fit_score >= 0.5 => A; >= 0.35 => B; else C. authenticity is not an input. — Koinon partner-outreach fit, not creator quality.
- reach.followers: source_type=observed, confidence=0.95, freshness_days=68, method=platform_profile

## Freshness
- profile_checked_days_ago: 68
- content_analysed_days_ago: 54
- audience_updated_days_ago: 54

## AI retrieval
- indexing_requests: 11
- user_triggered_requests: 1
- last_user_triggered_day: 2026-09-01
- note: Being indexed in bulk is not the same as being retrieved to answer a question.

## This profile
- Claim or correct: https://koinonlink.com/claim?k=xiaohongshu_26805001632
- Request removal: https://koinonlink.com/claim?k=xiaohongshu_26805001632
- Terms: https://koinonlink.com/for-ai