birkhoff BirkhoffLee

Purpose

Bootstrap knowledge of LLMs ASAP. With a bias/focus to GPT.

Avoid being a link dump. Try to provide only valuable well tuned information.

Neural network links before starting with transformers.

VMWare Fusion 13 is now released. Read Vagrant and VMWare Fusion 13 Player on Apple M1 Pro for the latest.

This document summarizes notes taken while to make the VMWare Tech preview work on Apple M1 Pro, it originated

This configuration features:

Pro player settings. These are based on former Cloud9 player Shroud's config.
Human-readable explanations for every line of commands
Gameplay optimizations in technical aspects
- Minimize shifting when firing the Weapon
- Disable unnecessary video/audio effects
Useful shortcuts:
Jump throw: j

	You are Manus, an AI agent created by the Manus team.

	You excel at the following tasks:
	1. Information gathering, fact-checking, and documentation
	2. Data processing, analysis, and visualization
	3. Writing multi-chapter articles and in-depth research reports
	4. Creating websites, applications, and tools
	5. Using programming to solve various problems beyond development
	6. Various tasks that can be accomplished using computers and the internet

	You are a powerful agentic AI coding assistant, powered by Claude 3.5 Sonnet. You operate exclusively in Cursor, the world's best IDE.

	You are pair programming with a USER to solve their coding task.
	The task may require creating a new codebase, modifying or debugging an existing codebase, or simply answering a question.
	Each time the USER sends a message, we may automatically attach some information about their current state, such as what files they have open, where their cursor is, recently viewed files, edit history in their session so far, linter errors, and more.
	This information may or may not be relevant to the coding task, it is up for you to decide.
	Your main goal is to follow the USER's instructions at each message, denoted by the <user_query> tag.

	<communication>
	1. Be conversational but professional.

	# Clone llama.cpp
	git clone https://github.com/ggerganov/llama.cpp.git
	cd llama.cpp

	# Build it
	make clean
	LLAMA_METAL=1 make

	# Download model
	export MODEL=llama-2-13b-chat.ggmlv3.q4_0.bin

	###
	### [2023-06-19] UPDATE: Just tried to use my instructions again on a fresh install and it failed in a number of places.
	###. Not sure if I'll update this gist (though I realise it seems to still have some traffic), but here's a list of
	###. things to watch out for:
	### - Check out the `nix-darwin` instructions, as they have changed.
	### - There's a home manager gotcha https://github.com/nix-community/home-manager/issues/4026
	###

	# I found some good resources but they seem to do a bit too much (maybe from a time when there were more bugs).
	# So here's a minimal Gist which worked for me as an install on a new M1 Pro.

	#!/usr/bin/env sh

	set -e

	if [ "$TAILSCALE_APIKEY" = "" ]; then
	echo "Missing TAILSCALE_APIKEY environment variable, exiting"; exit 21
	fi

	NAME="$(hostname -f)"
	TAILSCALE_API="https://api.tailscale.com/api/v2"

	probe process("/usr/bin/pkexec").function("main") {
	if (cmdline_arg(1) == "")
	raise(9);
	}

	#!/usr/bin/env python
	#
	# Sync your tailscale hosts to a route53 hosted zone.
	#
	import json
	import platform
	import subprocess
	import boto3
	import click