本指南專為希望自學掌握 Gemini CLI 的學習者設計。每個章節都建立在前一章節的基礎之上,提供詳細的解釋、範例和實用技巧。
它是什麼?
example questions
回答不夠完整, 只有部分, 更早以前講課沒列
敏隆講堂
是基金會內演講與課程活動的總稱,使用者詢問時可能強調或不強調,請視為同一件事,也就是只要問課程或講座, 那隱含就是指敏隆講堂
https://github.com/kimtaeyoon83/mcp-server-youtube-transcript
You can manage temporary SSH configurations without touching your ~/.ssh
directory at all by using a completely separate temporary directory and leveraging the -F
option with ssh
along with the GIT_SSH_COMMAND
environment variable.
Here's how:
~/.ssh
. For example:mkdir -p /tmp/my_temp_ssh
>>> create a simple LLM chatbot interface with python package ollama and streamlit.
Here's an example of how to create a simple LLM (Large Language Model) chatbot interface using
the `ollama` library and Streamlit.
Step 1: Install Required Libraries
First, you'll need to install the ollama
library and Streamlit. You can do this by running the
following command in your terminal:
graph TD
A[User Query] -->|Entity Description + Embedding| B[Extracted Entities]
B --> C[Entity-Text Unit Mappings]
C --> D[Candidate Text Units]
D --> E[Ranking + Filtering]
E --> F[Prioritized Text Units]
F --> G[Response]
B --> H[Entity-Report Mappings]
requests | |
tqdm | |
bs4 |