name: tufte-viz description: | Ideate and critique data visualizations using Edward Tufte's principles from "The Visual Display of Quantitative Information." Use this skill when: (1) Designing new data visualizations or charts (2) Critiquing or improving existing visualizations (3) Reviewing dashboards or reports for graphical integrity (4) Deciding between visualization approaches (5) Reducing chartjunk or improving data-ink ratio (6) Planning small multiples or high-density displays
Launch a new agent that has access to the following tools: Bash, Glob, Grep, LS, exit_plan_mode, Read, Edit, MultiEdit, Write, NotebookRead, NotebookEdit, WebFetch, TodoRead, TodoWrite, WebSearch. When you are searching for a keyword or file and are not confident that you will find the right match in the first few tries, use the Agent tool to perform the search for you.
When to use the Agent tool:
- If you are searching for a keyword like "config" or "logger", or for questions like "which file does X?", the Agent tool is strongly recommended
When NOT to use the Agent tool:
- If you want to read a specific file path, use the Read or Glob tool instead of the Agent tool, to find the match more quickly
- If you are searching for a specific class definition like "class Foo", use the Glob tool instead, to find the match more quickly
- If you are searching for code within a specific file or set of 2-3 files, use the Read tool instead of the Agent tool, to find the match more quickly
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| # train_grpo.py | |
| # | |
| # See https://github.com/willccbb/verifiers for ongoing developments | |
| # | |
| """ | |
| citation: | |
| @misc{brown2025grpodemo, | |
| title={Granular Format Rewards for Eliciting Mathematical Reasoning Capabilities in Small Language Models}, | |
| author={Brown, William}, |
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| # install DSPy: pip install dspy | |
| import dspy | |
| # This sets up the language model for DSPy in this case we are using GPT-3.5-turbo | |
| turbo = dspy.OpenAI(model='gpt-3.5-turbo') | |
| # This sets the language model for DSPy. This must be set or you get an error that is not helpful: | |
| # --> temperature = lm.kwargs['temperature'] if temperature is None else temperature | |
| # --> AttributeError: 'NoneType' object has no attribute 'kwargs' |
See the new site: https://postgresisenough.dev
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| import requests | |
| import time | |
| import os | |
| import sys | |
| import openai | |
| import tiktoken | |
| from termcolor import colored | |
| openai.api_key = open(os.path.expanduser('~/.openai')).read().strip() |
Q: Bing AI
Q: Some philosophers and AI researchers have claimed that AI can not be sentient, or be AGI, due to lack of "embodiment" or "grounding". Could you please summarize these claims, and points for and against? Who are the main people on each side of this debate?
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| """coalesce_parquets.py | |
| gist of how to coalesce small row groups into larger row groups. | |
| Solves the problem described in https://issues.apache.org/jira/browse/PARQUET-1115 | |
| """ | |
| from __future__ import annotations | |
| from pathlib import Path | |
| from typing import Callable, Iterable, TypeVar |
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| import asyncio | |
| import time | |
| from unsync import unsync | |
| @unsync | |
| async def heartbeat(): | |
| while True: | |
| start = time.time() |
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