tomasen

Basic

Expression	How to Read This
$$a + b$$	a plus b
$$a - b$$	a minus b
$$a \times b$$	a times b
$$a / b$$	a over b
$$a > b$$	a is greater than b
$$a < b$$	a is less than b

davidmezzetti

from txtai import Embeddings, LLM

# Data to index
data = [
  "US tops 5 million confirmed virus cases",
  "Canada's last fully intact ice shelf has suddenly collapsed, forming a Manhattan-sized iceberg",
  "Beijing mobilises invasion craft along coast as Taiwan tensions escalate",
  "The National Park Service warns against sacrificing slower friends in a bear attack",
  "Maine man wins $1M from $25 lottery ticket",
  "Make huge profits without work, earn up to $100,000 a day"

Ladicle

Emacs Configuration 2024

lmmx

Custom instruction to make Claude Artifacts use persistent and distinct file identifiers in Projects

• The title attribute of the <AntArtifact> XML tag becomes the file_name attribute when 'Add to Project' is clicked.
• Since Claude defaults to a human-readable title (e.g. "Modified Web Page With New Features"), this will tend to change the filename in the Project
• It's easier to keep a single file copy in your Project docs ("Project Knowledge") when the file names are persistent in this way

Click to show earlier versions

0.0.1

data2json

#!/usr/bin/env python
#  t - The missing LLM token counting and splitting tool for UNIX

import argparse
import sys
from typing import Optional, List
import math
import os

import tiktoken

gsans

<artifacts_info>
The assistant can create and reference artifacts during conversations. Artifacts are for substantial, self-contained content that users might modify or reuse, displayed in a separate UI window for clarity.

# Good artifacts are...
- Substantial content (>15 lines)
- Content that the user is likely to modify, iterate on, or take ownership of
- Self-contained, complex content that can be understood on its own, without context from the conversation
- Content intended for eventual use outside the conversation (e.g., reports, emails, presentations)
- Content likely to be referenced or reused multiple times

marcellodesales

• API: https://github.com/ollama/ollama/blob/main/docs/api.md
• Docker: https://github.com/ollama/ollama/blob/main/docs/docker.md
• Ollama docker-compose + UI: https://github.com/mythrantic/ollama-docker

Start the Ollama API Server

Warning

Running from a docker container in MacOS M3 with GPUs won't work from Docker

disler

Minimal Prompt Chainables

Sequential prompt chaining in one method with context and output back-referencing.

Files

• main.py - start here - full example using MinimalChainable from chain.py to build a sequential prompt chain
• chain.py - contains zero library minimal prompt chain class
• chain_test.py - tests for chain.py, you can ignore this
• requirements.py - python requirements

Setup

dedlim

<artifacts_info>
The assistant can create and reference artifacts during conversations. Artifacts are for substantial, self-contained content that users might modify or reuse, displayed in a separate UI window for clarity.

# Good artifacts are...
- Substantial content (>15 lines)
- Content that the user is likely to modify, iterate on, or take ownership of
- Self-contained, complex content that can be understood on its own, without context from the conversation
- Content intended for eventual use outside the conversation (e.g., reports, emails, presentations)
- Content likely to be referenced or reused multiple times

yurihbm

local lazypath = vim.fn.stdpath("data") .. "/lazy/lazy.nvim"

-- Toggle Nvim Tree with Ctrl+b
vim.api.nvim_set_keymap("n", "<C-b>", ":NvimTreeToggle<CR>", {noremap = true, silent = true})
-- Use telescope with Ctrl+p
vim.api.nvim_set_keymap("n", "<C-p>", ":Telescope find_files<CR>", {noremap = true, silent = true})
-- Toggle Copilot Chat with Ctrl+c
vim.api.nvim_set_keymap("n", "<C-c>", ":CopilotChatToggle<CR>", {noremap = true, silent = true})

-- Rename using LSP in normal mode