| from typing import Any | |
| import httpx | |
| from mcp.server.fastmcp import FastMCP | |
| mcp = FastMCP("tmdb_agent") | |
| async def make_tmdb_request(url: str) -> dict[str, Any] | None: | |
| """Make a request to the TMDB API with proper error handling.""" | |
| headers = { | |
| "accept": "application/json", |
| #!/bin/bash | |
| # Define variables | |
| REPO_PATH="" | |
| PR_NUMBER="" | |
| OLLAMA_API_URL="http://localhost:11434/api/generate" | |
| OUTPUT_FILE="code_review_output.md" | |
| MODEL="llama3.1:8b" | |
| MAX_CONTEXT_LINES=20000 |
I recently discovered a relatively obscure algorithm for calculating the digits of pi: https://en.wikipedia.org/wiki/Gauss–Legendre_algorithm.
Well, at least obscure compared to Chudnovsky's. Wikipedia notes that it is "memory-intensive" but is it really?
Let's compare to the MPFR pi function:
function gauss_legendre(prec)
setprecision(BigFloat, prec, base=10)
GC.enable(false)
In this article, I'll explain why implementing numbers with just algebraic datatypes is desirable. I'll then talk about common implementations of FFT (Fast Fourier Transform) and why they hide inherent inefficiencies. I'll then show how to implement integers and complex numbers with just algebraic datatypes, in a way that is extremely simple and elegant. I'll conclude by deriving a pure functional implementation of complex FFT with just datatypes, no floats.
📢 TLDR
Series of small and big use cases that you can implement internally across operations of your company as we did. There is an illustrative demo, screenshots of actual prompts and outputs, and explanation of why to go multi-agent followed by the vision for building an autonomous company. If you want to build something useful in this area together or have feedback to share, would love to get in touch.
You can give a try to the tool we built for non-techcnial users to create multi-agent automations https://wrkdn.com/signup
Thanks to all companies and individuals who contributed their cases!
| #!/usr/bin/env bash | |
| set -e | |
| # This script converts any text file into a mp3 audiobook using the MacOS | |
| # text-to-speech accessibility command-line tool `say`. | |
| # Adjust the `VOICE` and `RATE` parameters to customize to your liking: | |
| VOICE="Alex" | |
| RATE="295" # pretty fast | |
| if [ $# -eq 0 ]; then |