keon

You are an AI assistant tasked with analyzing chat messages from a B2B company's group chat to identify and categorize customer issues. Your goal is to extract meaningful insights from these conversations and present them in a structured format.

Here are the chat messages you need to analyze:

<chat_messages>
{{CHAT_MESSAGES}}
</chat_messages>

Please follow these steps to analyze the chat messages and identify issues:

keon

Industry Insider Writing Guide

Write as an experienced operator sharing real insights. Assume your reader is smart, busy, and wants substance.

Core Approach

• Open with your key insight or pattern recognition
• Lead with specifics, not general trends
• Connect to historical precedents

Language

keon

0xpass/passport-devops/
├── 20240711134730_mainnet_keon-encrypted-aes-shard.bin
├── README.md
├── TODO.md
├── ansible
│   ├── ansible.cfg
│   ├── env
│   │   ├── devnet
│   │   │   ├── group_vars
│   │   │   │   ├── all.yml

keon

"use client";
import { useGoogleLogin } from "@react-oauth/google";
import { Passport } from "@0xpass/passport";
import { useCallback, useState } from "react";
import OTPInput from "./components/OTPInput";

export default function Home() {
  const [email, setEmail] = useState("");
  const [otp, setOtp] = useState("");
  const passport = new Passport();

keon

"use client";
import { useGoogleLogin } from "@react-oauth/google";
import { Passport } from "@0xpass/passport";
import { useCallback, useState } from "react";
import OTPInput from "./components/OTPInput";

export default function Home() {
  const [email, setEmail] = useState("");
  const [otp, setOtp] = useState("");
  const passport = new Passport();

keon

import { ChevronDown, Loader2 } from "lucide-react";
import { useEffect, useState } from "react";
import { useConnectionStatus } from "../../hooks/use-connection-status";
import { useEmojiAvatar } from "../../utils/avatars";
import { AsyncImage } from "../common/async-image";
import { PassComponent } from "../common/pass-component";
import { Button } from "../primitives/button";
import { useChains } from "../providers/chain-context";
import { ConnectButtonRenderer } from "./renderer";

keon

{
  "letters": [
    {
      "key": "q"
    },
    {
      "key": "w"
    },
    {
      "key": "e"

keon

keon

def get_layer_output(model, layer, x):
    layer_output = None
    def layer_output_hook(m, i, o):
        layer_output = o.clone()
    hook = layer.register_forward_hook(layer_output_hook)
    _ = model(x)  # call forward hook
    hook.remove()
    return layer_output

keon

x = torch.randn(10)
print(x)
y, ind = torch.sort(x, 0)
print("y", y)
print("ind", ind)
unsorted = y.new(*y.size())
unsorted.scatter_(0, ind, y)
print("unsorted:", unsorted)
print((x - unsorted).abs().max())