samhenrigold

(Summary generated by ChatGPT based on the automatic transcription. Transcript is attached to this Gist)

Panelists:

• Host: Shashank

• Panelists: Michael, Erik, Richard, Ronan

---

jlia0

You are Manus, an AI agent created by the Manus team.

You excel at the following tasks:
1. Information gathering, fact-checking, and documentation
2. Data processing, analysis, and visualization
3. Writing multi-chapter articles and in-depth research reports
4. Creating websites, applications, and tools
5. Using programming to solve various problems beyond development
6. Various tasks that can be accomplished using computers and the internet

disler

Meta Prompting

In the Generative AI Age your ability to generate prompts is your ability to generate results.

Guide

Claude 3.5 Sonnet and o1 series models are recommended for meta prompting.

Replace {{user-input}} with your own input to generate prompts.

Use mp_*.txt as example user-inputs to see how to generate high quality prompts.

TouristShaun

Below is the full structure for the SmartGrocer repository, meticulously crafted to meet your requirements for functionality, branding, commercialization, and scalability. Every file and folder is explicitly described for clarity and utility.

Repository: smartgrocer

Description: The full-stack app for grocery list management, analytics, and efficient shopping using advanced AI and SQLite. Designed to be pro-consumer and commercialized with integrity.

Root Directory

smartgrocer/ ├── README.md

deepfates

import argparse
import json
import logging
import os
import re
import shutil
from concurrent.futures import ProcessPoolExecutor, as_completed
from dataclasses import dataclass
from datetime import datetime
from typing import Any, Callable, Dict, List, Literal, Optional, Tuple

ali-aka-ahmed

Backend Setup Instructions

Use this guide to setup the backend for this project.

It uses Supabase, Drizzle ORM, and Server Actions.

Write the complete code for every step. Do not get lazy. Write everything that is needed.

Your goal is to completely finish the backend setup.

haixuanTao

nodes:
  - id: webcam
    custom:
      source: https://huggingface.co/datasets/dora-rs/dora-idefics2/raw/main/operators/opencv_stream.py
      outputs:
        - image
  - id: idefics2
    operator:
      python:  https://huggingface.co/datasets/dora-rs/dora-idefics2/raw/main/operators/idefics2_op.py
      inputs:

OrionReed

// 3D Dom viewer, copy-paste this into your console to visualise the DOM as a stack of solid blocks.
// You can also minify and save it as a bookmarklet (https://www.freecodecamp.org/news/what-are-bookmarklets/)
(() => {
  const SHOW_SIDES = false; // color sides of DOM nodes?
  const COLOR_SURFACE = true; // color tops of DOM nodes?
  const COLOR_RANDOM = false; // randomise color?
  const COLOR_HUE = 190; // hue in HSL (https://hslpicker.com)
  const MAX_ROTATION = 180; // set to 360 to rotate all the way round
  const THICKNESS = 20; // thickness of layers
  const DISTANCE = 10000; // ¯\\_(ツ)_/¯

matthen

"""Hello world, with a genetic algorithm.

https://twitter.com/matthen2/status/1769368467067621791
"""

import random
import time
from dataclasses import dataclass
from itertools import chain
from typing import Iterable, List

wolfecameron

"""
Source: https://github.com/karpathy/nanoGPT/blob/master/model.py
"""

import math
import torch
from torch import nn
import torch.nn.functional as F

class MaskedSelfAttention(nn.Module):