You have a coder sub-agent tool. Spawn 1–3 instances based on actual need — not by default.
Isolation: Each agent works in its own git worktree. Agents must never edit the same file. For git trees create subfolders in current folder.
Stateless: Agents have no memory — every spawn is fresh. Pass all necessary context (relevant code snippets, decisions so far, constraints)
| //+------------------------------------------------------------------+ | |
| //| TimeSync_Checker.mq5 | | |
| //| Time Synchronization Analyzer | | |
| //| | | |
| //| PURPOSE: | | |
| //| This script measures time synchronization between: | | |
| //| 1. Your local PC clock | | |
| //| 2. The broker's trade server clock | | |
| //| 3. True internet time (via HTTP API) | | |
| //| | |
Certainly! Below are the instructions for converting a GPT-2 model to CoreML and the code for a macOS command-line tool to use that model.
First, use a Python script to convert the GPT-2 model to CoreML.
Sure, for running an LLM locally on an iOS device, we can use a smaller, more efficient model like GPT-2 or a distilled version. For simplicity, I will demonstrate using the CoreML framework with a pre-trained GPT-2 model that has been converted to CoreML format. This example will include the necessary steps to integrate the model and measure the response time.
First, you need to convert a pre-trained GPT-2 model to CoreML format. This is typically done outside Xcode using a Python script. Here is a basic script to convert a GPT-2 model to CoreML:
# Install the required packages
| import pandas as pd | |
| import numpy as np | |
| import time | |
| def using_for(df): | |
| start_time = time.time() | |
| for original_col in df.columns: | |
| for divisor_col in df.columns: | |
| new_col_name = f"{original_col}_div_{divisor_col}" |
| PassengerId,HomePlanet,CryoSleep,Cabin,Destination,Age,VIP,RoomService,FoodCourt,ShoppingMall,Spa,VRDeck,Name,Transported | |
| 0001_01,Europa,False,B/0/P,TRAPPIST-1e,39.0,False,0.0,0.0,0.0,0.0,0.0,Maham Ofracculy,False | |
| 0002_01,Earth,False,F/0/S,TRAPPIST-1e,24.0,False,109.0,9.0,25.0,549.0,44.0,Juanna Vines,True | |
| 0003_01,Europa,False,A/0/S,TRAPPIST-1e,58.0,True,43.0,3576.0,0.0,6715.0,49.0,Altark Susent,False | |
| 0003_02,Europa,False,A/0/S,TRAPPIST-1e,33.0,False,0.0,1283.0,371.0,3329.0,193.0,Solam Susent,False | |
| 0004_01,Earth,False,F/1/S,TRAPPIST-1e,16.0,False,303.0,70.0,151.0,565.0,2.0,Willy Santantines,True | |
| 0005_01,Earth,False,F/0/P,PSO J318.5-22,44.0,False,0.0,483.0,0.0,291.0,0.0,Sandie Hinetthews,True | |
| 0006_01,Earth,False,F/2/S,TRAPPIST-1e,26.0,False,42.0,1539.0,3.0,0.0,0.0,Billex Jacostaffey,True | |
| 0006_02,Earth,True,G/0/S,TRAPPIST-1e,28.0,False,0.0,0.0,0.0,0.0,,Candra Jacostaffey,True | |
| 0007_01,Earth,False,F/3/S,TRAPPIST-1e,35.0,False,0.0,785.0,17.0,216.0,0.0,Andona Beston,True |
Welcome to Honest Annie, where we excel in propelling businesses into the future with our advanced AI and machine learning solutions. Our team of seasoned experts is committed to crafting bespoke strategies that address your unique challenges and goals.
At Honest Annie, we understand that the world of artificial intelligence is vast and ever-evolving. That's why we offer a wide range of services including data analysis, algorithm development, and bespoke machine learning model creation. Our solutions are designed to be scalable, efficient, and ethically responsible.
| import OpenAI from 'openai'; | |
| import secrets from '../secrets.json' assert {type: 'json'}; | |
| import {map, path, pipe} from "ramda"; | |
| const openai = new OpenAI({ | |
| apiKey: secrets.openai, | |
| }); | |
| const functions = [ | |
| { |
| Honest Annie Privacy Policy | |
| Last updated: June 3, 2023 | |
| 1. Introduction | |
| At Honest Annie ("us", "we", "our"), we respect your privacy and are committed to protecting it. This Privacy Policy explains our practices regarding the collection, use, and disclosure of your personal data when you use our Services and your rights in relation to that data. | |
| 2. Data We Collect |
| (function () { | |
| function urlsToAbsolute(nodeList) { | |
| if (!nodeList.length) { | |
| return []; | |
| } | |
| var attrName = 'href'; | |
| if (nodeList[0].__proto__ === HTMLImageElement.prototype || nodeList[0].__proto__ === HTMLScriptElement.prototype) { | |
| attrName = 'src'; | |
| } | |
| nodeList = [].map.call(nodeList, function (el, i) { |