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

NathanHowell

load("@rules_python//python:defs.bzl", "py_runtime", "py_runtime_pair")
load(":venv.bzl", "py_venv")
load(":wrapper.bzl", "py_wrapper")

py_venv(
    name = "py3_venv",
    # caching the venv interpreter doesn't work for two reasons:
    #
    # * there are no platform dependencies on this target: the cache will contain binaries for the wrong OS
    # * there are no dependencies on the interpreter binary or standard library: the cache may contain stale versions

shortjared

a4b.amazonaws.com
access-analyzer.amazonaws.com
account.amazonaws.com
acm-pca.amazonaws.com
acm.amazonaws.com
airflow-env.amazonaws.com
airflow.amazonaws.com
alexa-appkit.amazon.com
alexa-connectedhome.amazon.com
amazonmq.amazonaws.com

rspeer

thundergolfer

AGENTS

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AGENTS - PERSONAL

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• amazon alexa
• Cortana
• Allo
• Facebook
• Siri
• Replika

zachradtka

import abc
import time
 
import boto
from boto.emr.connection import EmrConnection
from boto.regioninfo import RegionInfo
from boto.emr.step import InstallPigStep
 
import luigi
from luigi.s3 import S3Target, S3PathTask

tsiege

ANNOUNCEMENT

I have moved this over to the Tech Interview Cheat Sheet Repo and has been expanded and even has code challenges you can run and practice against!






\

NikolasTzimoulis

package tm;

public final class MachinesLibrary 
{
	private MachinesLibrary() {}
	
	public static TuringMachine EqualBinaryWords()
	{
		TuringMachine newTM = new TuringMachine();
		newTM.addState("q1");