Phyo Arkar Lwin v3ss0n

This worked on 14/May/23. The instructions will probably require updating in the future.

llama is a text prediction model similar to GPT-2, and the version of GPT-3 that has not been fine tuned yet. It is also possible to run fine tuned versions (like alpaca or vicuna with this. I think. Those versions are more focused on answering questions)

It is possible to run LLama 13B with a 6GB graphics card now! (e.g. a RTX 2060). Thanks to the amazing work involved in llama.cpp. The latest change is CUDA/cuBLAS which allows you pick an arbitrary number of the transformer layers to be run on the GPU. This is perfect for low VRAM.

Clone llama.cpp from git, I am on commit 08737ef720f0510c7ec2aa84d7f70c691073c35d.
- git clone https://github.com/ggerganov/llama.cpp.git
cd llama.cpp

	Machine Learning Task for Interview

	Task: Predicting Stock Prices

	Background:
	A financial institution wants to predict the future stock prices of a particular company based on its historical stock prices and other relevant features. The institution has collected a dataset of historical stock prices and other relevant features, including:

	* `date`: the date of the stock price
	* `open`: the opening stock price
	* `high`: the highest stock price

	class AppStaticHandler(StaticFileHandler):

	def write_error(self, status_code, **kwargs):
	errors = [403, 404, 500, 503]
	# FIXME: logging.info("status_code: %s" % status_code)
	if status_code in [404]:
	# self.set_status(200)
	with open("./dist/index.html") as f:
	self.write(f.read())
	else:

	package com.hexyn.hover;

	import android.content.Context;
	import android.content.Intent;
	import android.webkit.WebView;
	import android.widget.Toast;

	import com.hover.sdk.main.HoverParameters;
	import com.hover.sdk.onboarding.HoverIntegrationActivity;
	import com.hover.sdk.operators.Permission;

	/*
	Licensed to the Apache Software Foundation (ASF) under one
	or more contributor license agreements. See the NOTICE file
	distributed with this work for additional information
	regarding copyright ownership. The ASF licenses this file
	to you 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

	<?xml version='1.0' encoding='utf-8'?>
	<manifest android:hardwareAccelerated="true" android:versionCode="10000" android:versionName="1.0.0" package="com.embercordova.pitchstart" xmlns:android="http://schemas.android.com/apk/res/android">
	<supports-screens android:anyDensity="true" android:largeScreens="true" android:normalScreens="true" android:resizeable="true" android:smallScreens="true" android:xlargeScreens="true" />
	<uses-permission android:name="android.permission.INTERNET" />
	<application android:hardwareAccelerated="true" android:icon="@mipmap/icon" android:label="@string/app_name" android:supportsRtl="true">
	<meta-data android:name="com.hover.ApiKey" android:value="4bcd2f3039f93fda73ea7c9e4b9db1e2" />
	<activity android:configChanges="orientation\|keyboardHidden\|keyboard\|screenSize\|locale" android:label="@string/activity_name" android:launchMode="singleTop" android:name="MainActivity" android:theme="@android:style/Theme.DeviceDefault.NoActionBar" android:windowSoftInputMode=

	import Ember from 'ember';

	export default Ember.Controller.extend({
	statusFilterObjs:Ember.A( [{
	status: "New",
	checked: true
	}, {
	status: "Answering",
	checked: true
	}, {