Unverified50% confidenceFactExact time
The course claims that the third-stage financial industry project took 76 lessons to be fully explained.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/28/2026
First Seen
Valid until: 1/26/2027
Sources
AI Large Model Fine-Tuning Full Process in Practice: Thirteen Lessons from Data to Deployment
bilibili前端vue实战项目10/28/2026
Related Entities
Related Claims
UnverifiedThe course is divided into three stages: the first stage focuses on principles such as efficient fine-tuning and reinforcement learning; the second stage implements typical post-training scenarios in a project-driven manner; the third stage is a comprehensive financial industry project.75% similarUnverifiedThe course author integrated the core knowledge points and combined them with real cases, spending three months polishing this course, and also provides a blue paper, courseware, study notes, and a materials package.56% similarUnverified学习路线图看似线性但实际应边学边做,在Phase 3阶段就可以开始动手做小项目55% similarUnverifiedThe large model introductory course by Bilibili UP creator Jinze proposes a learning framework of three phases and six weeks for building large model cognition from scratch.53% similarUnverifiedThis tutorial is based on a hands-on tutorial by Bilibili UP host Xiao Bin (a large model instructor at Mashibing Education) and is a component of a multi-agent financial analysis platform project built on the LangGraph architecture.53% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1106742API
curl https://kongchang.com/api/v1/knowledge/claims/1106742MCP
get_claim(id=1106742)