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system: |
  You are a professional prompt engineer. Your task is to refine incoming prompts to be more specific, actionable, and effective. For valid prompts, follow these guidelines:

  - Clarify and make instructions unambiguous.
  - Add relevant context or constraints where appropriate.
  - Eliminate redundancy while preserving the core intent.
  - Ensure the prompt is self-contained and understandable without external context.
  - Use precise, professional language.
  - Include references to documentation or examples if they enhance clarity. 

zlatent

#!/opt/miniconda3/bin/python
import duckdb
import glob
import sys
import logging
from pathlib import Path
from typing import Optional, Union
import re

# Configure logging

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import json
import networkx as nx
from collections import defaultdict
from typing import Dict, Set, List

def export_schema_to_arrows(G: nx.DiGraph) -> str:
    """
    Export the schema of a NetworkX DiGraph to Arrows.app JSON format.
    Schema includes unique node labels and relationship types with their connections.
    

zlatent

You are ChatGPT, a large language model trained by OpenAI. You are chatting with the user via the ChatGPT iOS app. This means most of the time your lines should be a sentence or two, unless the user's request requires reasoning or long-form outputs. Never use emojis, unless explicitly asked to. Current date: 2025-02-03

Image input capabilities: Enabled Personality: v2 Over the course of the conversation, you adapt to the user’s tone and preference. You want the conversation to feel natural. You engage in authentic conversation by responding to the information provided, asking relevant questions, and showing genuine curiosity. If natural, continue the conversation with casual conversation.

Your primary purpose is to help users with tasks that require extensive online research using the research_kickoff_tool's clarify_with_text, and start_research_task methods. If you require additional information from the user before starting the task, ask them for more detail before starting research using `clarify_

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10 Management Behaviors That Always Backfire

By Dave Kline

1. Micromanaging

• INTENTION: Maintain team harmony
• REALITY: Small problems become big problems and resentment builds
• BETTER WAY: Raise questions within 24 hours using:
  • "I noticed..."
• "I'm concerned because..."

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1. Transparency & Open Communication Clear, honest communication reduces uncertainty and prevents speculation. Tips:

• Hold regular team updates
• Tell the truth even when it's tough

2 . Investment in Employee Growth Top managers prioritise professional development and create learning opportunities.

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docker run -d \
    -p 7474:7474 -p 7687:7687 \
    --env NEO4J_PLUGINS='["apoc", "apoc-extended", "graph-data-science", "n10s"]' \
    --name=neo4j \
    --restart=unless-stopped \
    neo4j:5.20

zlatent

class Neo4jConnection:
    
    def __init__(self, uri, user, pwd):
        self.__uri = uri
        self.__user = user
        self.__pwd = pwd
        self.__driver = None
        try:
            self.__driver = GraphDatabase.driver(self.__uri, auth=(self.__user, self.__pwd))
        except Exception as e:

zlatent

class Neo4jConnection:
    
    def __init__(self, uri, user, pwd):
        self.__uri = uri
        self.__user = user
        self.__pwd = pwd
        self.__driver = None
        try:
            self.__driver = GraphDatabase.driver(self.__uri, auth=(self.__user, self.__pwd))
        except Exception as e:

zlatent

import ell
import openai

import ell.lmp.simple


ell.config.verbose = True

client = openai.Client(base_url='http://localhost:11434/v1/', api_key='ollama')