😸 How to fine-tune GPT-4o

PLUS: OpenAI landed its first gov client?!

Welcome, humans.

A ginger cat named Chubby has been going viral lately. From battling poverty to getting arrested for shoplifting, Chubby's heartrending stories have racked up millions of views… all to the tune of a cat-themed cover of a Billie Eilish song (call it a “meow”-mix!)

His “unstoppable rise” stems from the perfect storm: social media algos focusing more on “media” than social, AI empowering spammers to make bank producing content at scale, and humanity’s undeniable love of cats. 😸

In fact, the trend is so popular that creators of these videos now sell courses. If you ask us, that orange cat looks a LITTLE too familiar… should we get in on craze?!

Here’s what you need to know about AI today:

OpenAI launched GPT-4o fine-tuning with free tokens.
USAID adopted ChatGPT Enterprise for administrative efficiency.
NVIDIA created AIs for weather forecasting and game NPCs.
Virginia's water usage surged due to AI-driven data centers.

Advertise in The Neuron here.

You can now fine-tune OpenAI’s best model—here’s how.

Big news: OpenAI launched fine-tuning for GPT-4o, allowing anyone to customize OpenAI’s best model for their specific use case.

You know the old adage, “Give a man a fish, you feed him for a day; teach a man to fish, you feed him for a lifetime?”

Fine-tuning is like teaching ChatGPT how you like your fish, so it cooks them the same way every time!

Between now and September 23, OpenAI is offering 1M free training tokens per day (~750,000 words), so it’s basically the best time for anyone to give fine-tuning a try—even you, non-coders!

Here's how to do it:

Go to the OpenAI Fine Tune Dashboard.
Select “gpt-4o-2024-08-06” as your Base Model.
Upload your training data—think of “training data” as example chats.

Now, you can’t just upload a bunch of text or PDFs for ChatGPT to use in its responses (if you wanna do that, try creating a CustomGPT instead.)

For ChatGPT to understand, you need to put your data in a format called JSON—think of this like a recipe that GPT can follow to prepare your dish.

If you’ve never coded before, this looks intimidating, but it’s actually really simple. Each example needs:

The “system” message (telling GPT its role).
The “user” message (the “prompt”).
The “assistant” message (how GPT will respond).

Here’s what it looks like all together:

{"messages": [{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": "What's the capital of France?"}, {"role": "assistant", "content": "The capital of France is Paris."}]}

Make sure each example is on its own line, and follows the correct JSON format.

You need 10 examples minimum, but ~50-100 is recommended for better results. Keeping with the fish metaphor, it’s like showing chatGPT a bunch of different fish, all cooked w/ the same “finesse.”

It’s easier to write these in something like Visual Studio Code, but you can use any basic text editor (Notepad, TextEdit) and save the file with a .jsonl extension (e.g. “training_data.jsonl”).

Now, upload your data, give your model a suffix (e.g.: Neuron-joke-bot), leave everything else on auto, and click “create.”

Once done, go to the OpenAI Playground and chat with it to try it out!

P.S.: Want a video tutorial? This one makes the whole process super simple.

What’d you think—should we do more tutorials like this?

Yes, I want to learn how to improve my AI skills.

Yes, but stick to user-friendly tools only.

No, it’s too technical for me.

No, I prefer news updates only.

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Around the Horn.

OpenAI has a new customer in the federal government—USAID, who will use ChatGPT enterprise to “reduce administrative burdens.”
NVIDIA created an AI called StormCast that can forecast thunderstorms and demoed a new AI to make video game NPCs respond more naturally to players.
Water usage in Virginia, known as “data center alley”, jumped up by 60%+ over the last 4 years (1.85B gallons!) largely due to AI.

Treats To Try.

*Dell's Precision AI-ready workstations powered by NVIDIA RTX™ GPUs are the most efficient way to handle demanding AI workloads without costing a fortune. Check them out for yourself here.
Luma Labs launched Dream Machine 1.5 with higher quality image to video and text to video that better understands your prompts, plus custom text rendering.
Eppo accelerates and simplifies A/B testing and feature management for organizations, making advanced experimentation accessible to everyone. (raised $47.5M)
STORI creates and manages personalized marketing strategies for branding, content creation, and social media tasks.
Evidently evaluates, tests, and monitors AI-products, offering tools for LLM observability, ML model assessment, and data pipeline quality control.
Molypix generates customizable designs for various occasions using AI, offering templates for posters, invitations, postcards, and cards.
See our top 51 AI Tools for Business here!

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What gives it away that this is AI?

Every Monday/Wednesday, we’ll post a new AI video, and your job is to tell us what about the video gives it away as being AI.

Ready? One look, everyone knows the rules:

What gives it away that this video is AI?

Write in

Write in, pt. 2

Here’s what #Neuron readers had to say about last week’s videos…

The Otter video:

C.H: “One of its paws suddenly grows a human finger towards the end.”
R.B: “Otters never travel alone. Plus the phone screen is wonky, evidenced by the left-side edge.”
C.D: “Otters are more likely to use android than apple tech.”

The party animal:

T.C: “Terrible fake shadow that follows the young man. It does not match the shadow behind him or the one on the wall.”
L.S: “the hat seems to be floating independent of the head.”
S.A: “meme is too old, timelines don’t match.” 😂