hamelsmu

Success Stories of Fine-Tuning LLMs Across Industries

Below is a summary of diverse use cases where companies fine-tuned large language models (LLMs) to solve business challenges that previous methods struggled with. Each case highlights the challenge, the fine-tuning approach, and the key results achieved.

Summary of Fine-Tuning Success Cases

Use Case	Key Results	Source Link
Wealth Management Assistant (Finance)	98% advisor adoption; document access up from 20% to 80%	OpenAI & Morgan Stanley
Insurance Claims AI (Insurance)	30% accuracy improvement vs. generic LLMs	[Insurance News (EXL)](https://www.insurancenews.c

elepedus

Efficient Group Updates with Nested Kino Frames

Mix.install([
  {:kino, "~> 0.14.2"},
  {:kino_user_presence, "~> 0.1.2"}
])

x86matthew

#include <stdio.h>
#include <windows.h>

#pragma comment(lib, "winmm.lib")

void Nothing(WORD wKey)
{
}

void PrintKey(WORD wKey)

diogogpinto

I have been utilizing artificial intelligence to enhance and optimize my codebases. After evaluating various models, applications, and editors, I find the claude.ai interface with a Pro Account to be the most effective. Here’s the approach I’ve developed to achieve optimal results:

This gist contains a carefully crafted prompt and a script designed to convert your entire Laravel codebase (excluding the resources folder, which can be easily added if needed) into a TXT file with the following structure:

<File Start: ./path/filename.extension> Content of file <End File: ./path/filename.extension>

To implement this method:

thmsmlr

  @default_timeout 100
  @check_interval 10

  # Test Helpers

  defp wait_for(fun, timeout \\ @default_timeout) do
    start_time = System.monotonic_time(:millisecond)
    ref = make_ref()

    try do

cheskoxd

import { useEffect, useRef } from 'react';

const useInactivityTimeout = (timeoutInHours) => {
  const timeoutInMillis = timeoutInHours * 60 * 60 * 1000;
  const timer = useRef(null);

  useEffect(() => {
    if (navigator.userActivation) {
      if(navigator.userActivation.isActive){        
        if (timer.current) {

doorgan

defmodule OperationsTest do
  use ExUnit.Case, async: true

  def make_mod() do
    String.to_atom("Elixir.Test#{System.unique_integer([:positive])}")
  end

  describe "operation/2" do
    setup do
      mod = make_mod()

zachdaniel

<!-- livebook:{"persist_outputs":true} -->

# Distribute

## Section

A small toy to show how you might, given a stream, do a "fan out", processing different elements in separate streams. Powered by simple primitives like `Stream.resource` and `spawn_link`.

```elixir
defmodule Distribute do

guessthepw

LiveView Forms

Application.put_env(:sample, Example.Endpoint,
  http: [ip: {127, 0, 0, 1}, port: 5001],
  server: true,
  live_view: [signing_salt: "aaaaaaaa"],
  secret_key_base: String.duplicate("a", 64)
)

OrionReed

// 3D Dom viewer, copy-paste this into your console to visualise the DOM as a stack of solid blocks.
// You can also minify and save it as a bookmarklet (https://www.freecodecamp.org/news/what-are-bookmarklets/)
(() => {
  const SHOW_SIDES = false; // color sides of DOM nodes?
  const COLOR_SURFACE = true; // color tops of DOM nodes?
  const COLOR_RANDOM = false; // randomise color?
  const COLOR_HUE = 190; // hue in HSL (https://hslpicker.com)
  const MAX_ROTATION = 180; // set to 360 to rotate all the way round
  const THICKNESS = 20; // thickness of layers
  const DISTANCE = 10000; // ¯\\_(ツ)_/¯