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# This is a modified version of TRL's `SFTTrainer` example (https://github.com/huggingface/trl/blob/main/examples/scripts/sft_trainer.py), 
# adapted to run with DeepSpeed ZeRO-3 and Mistral-7B-V1.0. The settings below were run on 1 node of 8 x A100 (80GB) GPUs.
#
# Usage:
#   - Install the latest transformers & accelerate versions: `pip install -U transformers accelerate`
#   - Install deepspeed: `pip install deepspeed==0.9.5`
#   - Install TRL from main: pip install git+https://github.com/huggingface/trl.git
#   - Clone the repo: git clone github.com/huggingface/trl.git
#   - Copy this Gist into trl/examples/scripts
#   - Run from root of trl repo with: accelerate launch --config_file=examples/accelerate_configs/deepspeed_zero3.yaml --gradient_accumulation_steps 8 examples/scripts/sft_trainer.py  

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import elasticsearch import Elasticsearch
from pathlib import Path
from eland.ml.pytorch import PyTorchModel
from eland.ml.pytorch.transformers import TransformerModel

# Load the custom model
tm = TransformerModel("model", "text_classification")

# Export the model to a TorchScript representation which Elasticsearch uses
tmp_path = "models"

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# coding=utf-8
# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software

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from io import StringIO
import sys
from typing import Dict, Optional

from langchain.agents import load_tools
from langchain.agents import initialize_agent
from langchain.agents.tools import Tool
from langchain.llms import OpenAI

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import os
import openai
import requests
from pprint import pprint
import dotenv

dotenv.load_dotenv()

openai_api_key = os.environ.get("OPENAI_API_KEY")
bing_search_api_key = os.environ['BING_SEARCH_V7_SUBSCRIPTION_KEY']

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Question by @nntaleb

  Throw a coin, H=head, T= Tail. Which sequence one is more likely?  

  A={H,T,H,T,H,T,H,T,H,T,T,H,T,H,H,T,T,T,H,H}

  B={H,H,H,H,H,H,H,H,H,H,H,H,H,H,H,H,H,H,H,H}

  C={H,H,H,H,H,H,H,H,H,H,T,T,T,T,T,T,T,T,T,T}
  

existeundelta