Gemini CLI settings.json with MCP Config
Here is a sample settings.json file for the Gemini CLI, configured with the Git and GitHub MCP servers.
Here is a sample settings.json file for the Gemini CLI, configured with the Git and GitHub MCP servers.
Continuing the Sentence Transformers exploration, I use a cross-encoder model to rank my notebooks by similarity to search queries.
Here I use sentence transformers and a bi-encoder model to encode my notebooks as embeddings and implement semantic search.
Here I create a local titlecase model based on Mistral, using a local Ollama modelfile and a solid prompt.
I use Gemini's text-embedding-004 model to generate embeddings for sentences. Then I define a cosine similarity function and see what it returns for a few related and unrelated sentences.
I'm starting to accumulate many UntitledX.ipynb files. Here I use the Gemini 1.5 Flash language model from Google to rename each one based on its contents.
I prompted Claude 3.5 Sonnet to make an HTML and vanilla JS birthday app for my daughter who just turned six. Then I figured out how to show the artifact inline in a Jupyter notebook.
I'm here to learn the new web framework FastHTML by Jeremy Howard, and I'm using Claudette to help me explore it.
Studying https://claudette.answer.ai/