rain-1

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)

Note: I have been told that this does not support multiple GPUs. It can only use a single GPU.

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.

hrishioa

// Requires the gpt library from https://github.com/hrishioa/socrate and the progress bar library.
// Created by Hrishi Olickel ([email protected]) (@hrishioa). Reach out if you have trouble running this.

import { ThunkQueue } from '../../utils/simplethrottler';
import {
  AcceptedModels,
  Messages,
  askChatGPT,
  getMessagesTokenCount,
  getProperJSONFromGPT,

virattt

jasonjmcghee

from abc import ABC
from typing import List, Optional, Any

import chromadb
from langchain.docstore.document import Document
from langchain.embeddings.base import Embeddings
from langchain.vectorstores import Chroma


class CachedChroma(Chroma, ABC):

sybeck2k

IAM Tips

Those tips where posted between June and July 2022 on LinkedIn by Roberto Migli.

IAM Tip #1

#IAM tip #1: There are 4 main types of IAM policies: Identity-based policies, resource-based policies, permissions boundaries, Organizations SCPs and Session Policies. Matt Luttrell's blog post will guide you through when and how to use them.

dabit3

// SPDX-License-Identifier: MIT OR Apache-2.0
pragma solidity ^0.8.4;

import "@openzeppelin/contracts/utils/Counters.sol";
import "@openzeppelin/contracts/token/ERC721/extensions/ERC721URIStorage.sol";
import "@openzeppelin/contracts/security/ReentrancyGuard.sol";
import "@openzeppelin/contracts/token/ERC721/ERC721.sol";

contract NFT is ERC721URIStorage {
    using Counters for Counters.Counter;

divyajyotiuk

import json
import glob

all_bookmarks = []
md_file = open("bookmarks.md", "w+")        # saving in markdown file, if no file exists  using '+' creates one

files = [file for file in glob.glob("JSONBookmarks/*")]     # using glob to read all files from the folder
for file_name in files:
    print(file_name)
    with open(file_name) as bk:

velniukas

import pdb
"""
The Bellman-Ford algorithm

Graph API:

    iter(graph) gives all nodes
    iter(graph[u]) gives neighbours of u
    graph[u][v] gives weight of edge (u, v)
"""

MikeTheWatchGuy

import PySimpleGUI as sg
import os
import chess
import chess.pgn
import copy
import time

button_names = ('close', 'cookbook', 'cpu', 'github', 'pysimplegui', 'run', 'storage', 'timer')

CHESS_PATH = '.'        # path to the chess pieces

dkn22

import numpy as np
import numba

@numba.jit
def bellman_ford(graph, start_vertex):
    n = len(graph.nodes)
    A = np.zeros((n+1, n))
    A[0, :] = np.inf
    A[0, start_vertex] = 0