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import openai

ANYSCALE_ENDPOINT_KEY = "{ANYSCALE_ENDPOINT_KEY}"
client = openai.OpenAI(base_url="https://api.endpoints.anyscale.com/v1", api_key=ANYSCALE_ENDPOINT_KEY)
response = client.chat.completions.create(
    model="mistralai/Mixtral-8x7B-Instruct-v0.1",
    messages=[{"role": "system", "content": "You are a helpful assistant."}, 
              {"role": "user", "content": "What is the best French cheese?"}],
    temperature=0.7
)

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import openai

system_msg = "You are an expert software developer that always creates perfect code."
user_msg = """In Bash, how do I list all text files in the current directory (excluding subdirectories) that have 
been modified in the last month. Generate only the command and no explanation or comments."""

message_history = [
    {"role": "system", "content": system_msg},
    {"role": "user", "content": user_msg}
]

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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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# Install Apache TVM with TensorFlow support on MacOS with M1 (ARM64 architecture)

Here is the link to the TVM installation documentation: [Install from Source](https://tvm.apache.org/docs/install/from_source.html).

## Install Miniforge

Install Miniforge from their official [page] (https://github.com/conda-forge/miniforge/releases/latest/download/Miniforge3-MacOSX-arm64.sh)

Once downloaded:

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assertEqual(a, b)
a == b

assertNotEqual(a, b)
a != b

assertTrue(x)
bool(x) is True

assertFalse(x)

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Workshop Requirements

This are the requirements for the Introduction to Machine Learning Workshop on 15./16 Oct. and 22./23. Okt.

You should have some basic linear algebra understanding. A good refresher would be chapter 2.1 and 2.2 from Deeplearning - Linear Algebra. This are just 5 pages, so it should be a quick read.

Some basic knowledge of Python will be useful but is not required. There will be code examples in Python but they should be easy to understand. You are not required to do any Python coding yourself.

You need to install the Anaconda Python distibution and a couple of Python libraries.

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In this article, I will share some of my experience on installing NVIDIA driver and CUDA on Linux OS. Here I mainly use Ubuntu as example. Comments for CentOS/Fedora are also provided as much as I can.

Table of Contents

• Install NVIDIA Graphics Driver via apt-get
• Install NVIDIA Graphics Driver via runfile
  • Remove Previous Installations (Important)
  • Download the Driver
  • Install Dependencies
  • Creat Blacklist for Nouveau Driver

• Stop lightdm/gdm/kdm