thesephist

/**
 * Implementation of a naïve retrieval-based question answering LLM program.
 */

import {
  Document,
  formatPromptLines,
  getCompletionImpl,
  loggers,
  polymer,

thesephist

anysphere.pyright
apollographql.vscode-apollo
bradlc.vscode-tailwindcss
dbaeumer.vscode-eslint
denoland.vscode-deno
eamodio.gitlens
esbenp.prettier-vscode
github.vscode-pull-request-github
ms-azuretools.vscode-docker
ms-python.black-formatter

thesephist

import torch

from diffusers import FluxPipeline, AutoencoderKL
from diffusers.image_processor import VaeImageProcessor
from transformers import T5EncoderModel, T5TokenizerFast, CLIPTokenizer, CLIPTextModel


ckpt_id = "black-forest-labs/FLUX.1-dev"
revision = "refs/pr/1"

thesephist

(()=>{let a=document.querySelectorAll('.bigmarker-cg-agenda-card-talk-name');for(const e of a)Object.assign(e.style,{overflow:'initial',display:'initial'})})()

thesephist

import { cascade } from "../src/cascade.ts";

export const summarize = cascade
  .chatCompletion("summarize", {
    model: "gpt-3.5-turbo",
    renderPrompt: (context: { title: string; content: string }) => [
      {
        type: "user",
        content: [
          `Write a one sentence summary about ${context.title}.\n\n${context.content}.`,

thesephist

; pull-all
;
; Run "git pull" en masse on all git repositories with a default remote under a
; specific directory.

(defn indent (s bit)
  (-> s
      (split '\n')
      (map (fn (line)
             (if (empty? line)

thesephist

import torch
import torch.nn as nn
import torch.nn.functional as F

from transformers import GPT2Tokenizer, GPT2LMHeadModel

ppl_model_name = 'gpt2-xl' if device == 'cuda' else 'gpt2'
ppl_tokenizer = GPT2Tokenizer.from_pretrained(ppl_model_name)
load_opts = {
    'device_map': 'auto',

thesephist

// Code to measure selection rects

// NOTE: this isn't actually JS... it's Oak. But I think the code is readable if you know JS :/

// NOTE: I *think* this event listener only works when attached to `document`.
with document.addEventListener('selectionchange') fn handleSelectionChange {
	if active := document.activeElement {
		? -> ?
		_ -> if active.classList.contains('textarea-itself') {
			false -> ?

thesephist

#!/usr/bin/env python

import os
import json
from tqdm import tqdm
from transformers import GPT2TokenizerFast

os.environ['TOKENIZERS_PARALLELISM'] = 'false'

FILENAME = './thesephist.jsonl'

thesephist

{ name: 'Lighting', options: [
  'golden hour, warm glow'
  'blue hour, twilight, ISO12000'
  'midday, direct lighting, overhead sunlight'
  'overcast, whitebox, flat lighting, diffuse'
  'dreamlike diffuse ethereal lighting'
  'dramatic lighting, dramatic shadows, illumination'
  'studio lighting, professional lighting, well-lit'
  'flash photography'
  'low-key lighting, dimly lit'