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; 
; Opinion Lexicon: Positive
;
; This file contains a list of POSITIVE opinion words (or sentiment words).
;
; This file and the papers can all be downloaded from 
;    http://www.cs.uic.edu/~liub/FBS/sentiment-analysis.html
;
; If you use this list, please cite one of the following two papers:

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; 
; Opinion Lexicon: Negative
;
; This file contains a list of NEGATIVE opinion words (or sentiment words).
;
; This file and the papers can all be downloaded from 
;    http://www.cs.uic.edu/~liub/FBS/sentiment-analysis.html
;
; If you use this list, please cite one of the following two papers:

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Incorporating a Hypergraph Lambda Calculus (HLC) based model as part of a larger mixture of experts system could provide several benefits and enhance the overall capabilities of the model:

1. Improved Reasoning Capabilities:

   • HLC's higher-order logic and lambda calculus foundations enable more sophisticated reasoning capabilities.
   • The model can handle complex dependencies, abstractions, and quantification, allowing it to perform advanced inference and deduction tasks.
   • This can complement other experts in the mixture that may focus on pattern recognition, data-driven learning, or specialized domain knowledge.

2. Enhanced Expressiveness:

   • HLC's hypergraph-based representation allows modeling complex structures and relationships that may be difficult to capture with traditional graph-based or vector-based representations.

• The model can express and reason about intricate domain knowledge, logical rules, and constraints.

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[
   "Abbey",
   "Aboriginal and Torres Strait Islander organization",
   "Aboriginal art gallery",
   "Abortion clinic",
   "Abrasives supplier",
   "Abundant Life church",
   "Accountant",
   "Accounting firm",
   "Accounting school",

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--Top Ranking URLs Report for Nozzle.io
--Data Studio Template can be found here: https://datastudio.google.com/u/1/reporting/359d4414-0cd6-4da1-8df5-2c6908e0ddec/page/pyxcB

WITH
-- find the latest versioned keyword data
-- this can also be used to pin a query to an older version, good for static reports
latest_keyword_source_versions AS (
 SELECT keyword_source_id, MAX(keyword_source_version_id) AS keyword_source_version_id
 FROM nozzledata.nozzle_nozzleofficial.keywords
 WHERE keyword_source_id=930701976723823

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# Based on younesbelkada/finetune_llama_v2.py
# Install the following libraries:
# pip install accelerate==0.21.0 peft==0.4.0 bitsandbytes==0.40.2 transformers==4.31.0 trl==0.4.7 scipy

from dataclasses import dataclass, field
from typing import Optional

import torch
from datasets import load_dataset
from transformers import (

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import { NextResponse } from "next/server";

import { getLowestPrice, getHighestPrice, getAveragePrice, getEmailNotifType } from "@/lib/utils";
import { connectToDB } from "@/lib/mongoose";
import Product from "@/lib/models/product.model";
import { scrapeAmazonProduct } from "@/lib/scraper";
import { generateEmailBody, sendEmail } from "@/lib/nodemailer";

export const maxDuration = 300; // This function can run for a maximum of 300 seconds
export const dynamic = "force-dynamic";

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# Must have conda installed
# It costs approximately $0.2 (in GPT-4 API fees) to generate one example with analysis and design, and around $2.0 for a full project.

conda create -n metagpt python=3.11.4
conda activate metagpt
npm --version # to check you have npm installed
# optional: install node if you don't have it
npm install -g @mermaid-js/mermaid-cli
git clone https://github.com/geekan/metagpt
cd metagpt

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{
    "basics": {
        "name": "Pavlos Hatziapostolou",
        "label": "Architectural Engineer",
        "email": "phatziapostolou@gmail.com",
        "phone": "6946507797",
        "summary": "Creative and results-driven Architectural Engineer with over 20 years of comprehensive experience in designing, supervising, and executing a wide range of architectural projects from residential renovations to healthcare facilities construction. ",
        "location": {
            "address": "Filikis Etairias 30",
            "postalCode": "54621",

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/*
# Chat with ChatGPT

## <span class="text-primary">👉 Note: LangChain is still in development. This script will keep updating to use the latest APIs</span>

Use `Kit` -> `Manage npm Packages` -> `Update a Package` -> `langchain` to update to install the latest version.

- Opens the `chat` component
  - Type a message and press `enter` to send
- The message is sent to the OpenAI API