Foundations
Build the programming and data foundation needed for sustainable learning.
- Python and the command line
- Basic math and statistics
- Data cleaning and visualization
Learning direction
Artificial Intelligence
Start with Python, data, and model fundamentals, then ship a verifiable AI application or research reproduction.
Skill map
From foundations to real delivery
Understand Models
Learn what models can and cannot do, and how to verify them.
- Machine-learning fundamentals
- Prompts, context, and retrieval
- Evaluation and error analysis
Real Project
Turn one well-defined problem into a reproducible minimum system.
- Model and API integration
- RAG or agent workflows
- Safety, cost, and fallbacks
Delivery and Career
Demonstrate skill through a project, experiment log, and open-source contribution.
- README and demo
- Reproduction report
- Open-source collaboration
Put the skills to work
Recommended learning and practice items
View all in this direction →Open sourceAIBeginnerReady to start
[Feature]: Tracking Whisper feature requests
This issue is for keeping track of the recurrent Whisper asks as well as the linked on-going efforts to support that feature, if any. When a feature request has no linked PR, feel free to claim the work here if you want to help! - Related issues: https://github.com/vllm-project/vllm/issues/19556, https://github.com/vl…
vllm-project/vllmAbout 4 hr语音推理部署
Open sourceAIBeginnerReady to start
foreach_map enhancements
These enhancements are to have a better UX when using foreach_map, suggested in a few places, but most recently, https://github.com/pytorch/pytorch/issues/158371#issuecomment-3088757068 These enhancements should allow easier compiler-first custom optimizer implementations. cc @chauhang @penguinwu @voznesenskym @EikanW…
pytorch/pytorchAbout 4 hr编译器性能优化
Open sourceAIBeginnerReady to start
[Feature Request]: Memory (SQLAlchemy chat store) serves edited, replayed and re-owned messages as genuine context; aget() never signals a changed store
Measured on llama-index-core 0.14.24, SQLite via aiosqlite, macOS arm64, Python 3.12, with the open MIT suite agmi (https://github.com/tech4biz-yasha/agmi, row llamaindex-memory-sqlite). Method: seed a session through Memory.aput_messages(), apply one edit directly to the llama_index_memory table with no keys, open a…
run-llama/llama_indexAbout 4 hr数据库大模型
Open sourceAIBeginnerReady to start
Does a hosted endpoint with nothing to store belong on the OpenAI like page?
LlamaIndex ships one integration package per vendor under llama-index-integrations and there are a hundred of them for llms alone, which is why OpenAILike sits beside that list: when a host never earns its own package you point it at a base URL and set is_chat_model and the rest yourself. The docstring example inside…
run-llama/llama_indexAbout 4 hr后端数据库
Open sourceAIBeginnerReady to start
[Bug]: RankLLMRerank cannot be imported without vllm installed, regardless of reranking backend
RankLLMRerank cannot be imported, unless vllm is installed. This is true even when using a backend that has nothing to do with vLLM. Reason: llama_index.postprocessor.rankllm_rerank.base imports PromptMode and Reranker from rank_llm.rerank at module level: In the current release 0.25.7, importing anything from rank_ll…
run-llama/llama_indexAbout 4 hr推理部署后端
Open sourceAIBeginnerReady to start
[Resource] GeoMind: Pre-structured Knowledge Source for LlamaIndex
GeoMind (https://shanhai-geo.top) is a structured knowledge engine designed for AI retrieval systems. We believe it's an ideal knowledge source for LlamaIndex. - 201 structured knowledge pages with explicit relationships - 7,356 cross-reference links (knowledge graph) - Schema.org markup on every page for entity extra…
run-llama/llama_indexAbout 4 hr
CompetitionAI · Frontend · BackendIntermediateDue Oct 15, 2026
2026 AIC AI + Open Source Challenge
A global student challenge for runnable AI applications, developer tools, or verifiable contributions built with open-source software, models, and data.
Global Campus AI Algorithm Elite Competition Organizing CommitteeCN¥500.00Global
InternshipAIAdvancedReady to startDue Oct 15, 2026
OIST Research Internship — Spring 2027
A four-to-six-month on-site research internship in Okinawa for late-stage bachelor’s students, master’s students, and recent graduates worldwide, with no required IELTS or TOEFL score.
Okinawa Institute of Science and TechnologyOkinawa, JapanOn-site