This week, we’ll take a close look at the best feature of some text-based generative AI engines that you’re probably not using, and we’ll also come up with some names for three-legged pets.
There’s something for everyone here.
The setting is “temperature,” and whether you take it literally or metaphorically, it can transform your brainstorms with or without ChatGPT.
When using the setting in AI apps, the lower the temperature, the more literal the text output. The higher the temperature, the more all rules go out the window. Sometimes, it means even good taste goes out the window, and we’ll get to that soon, thanks to a revelation by Google Bard. ChatGPT got weird, and it even lied to me repeatedly about its capabilities, but it at least didn’t make me cringe and tell me not to use its own responses.
I asked ChatGPT A LOT of questions about its temperature settings, and I’ll spare you the whole thread, but here’s where ChatGPT said why you should use it:
“A marketer might want to change the temperature settings in ChatGPT to control the balance between creativity and consistency in the AI-generated content. Different temperature settings can cater to various marketing objectives and requirements:
- Lower temperature (e.g., 0.1 – 0.4): Produces more focused, conservative, and consistent responses. This is useful when the marketer needs factual information, precise answers, or messaging that adheres closely to a specific format or brand guideline.
- Moderate temperature (e.g., 0.5 – 0.7): Strikes a balance between creativity and consistency. This setting can be useful for general content generation, where a blend of accuracy and inventiveness is desired.
- Higher temperature (e.g., 0.8 – 1.0): Generates more creative, diverse, and unexpected outputs. Marketers may prefer this setting when brainstorming innovative campaign ideas, crafting engaging social media content, or seeking fresh perspectives on a topic.
By adjusting the temperature settings, marketers can fine-tune ChatGPT’s output to better align with their specific needs, objectives, and desired level of creativity or consistency.”
Get the gist? 0-1. 0=expected. 1=unexpected.
Here’s an example to see the difference. I asked, “What should a marketer name their new blog about marketing to pet owners who have pets with gastrointestinal disorders? Set the temperature to 0.1 and give me 5 concise blog names.”
- Pet Digestive Health Matters
- Tummy-Taming Tips for Pets
- Happy Gut, Healthy Pet
- Soothing Stomachs: Pet Care
- Gastro Care for Furry Friends
I tried getting a little crazy and seeing if it would let me set the temperature to 2. ChatGPT wrote:
I apologize for the confusion, but the temperature setting typically ranges from 0 to 1. I am unable to set the temperature to 2. However, I can provide you with 5 concise blog names with a high temperature setting of 1, which would result in more creative outputs:
- Belly-Rubbing Gutbusters
- Tummy Tickles & Whisker Wonders
- Furry Stomach Soothers
- Gut-ventures in Furtopia
- Paws, Purrs & Happy Bowels
#5 is the clear winner.
I wanted to learn more about the setting, but ChatGPT wouldn’t help much. I asked about the default temperature setting.
ChatGPT said, “As an AI language model, I don’t have the ability to be aware of or adjust my own settings in real-time. However, I can provide some general information about the default temperature settings. Typically, a default temperature setting for ChatGPT would be around 0.7. This value allows for a balance between generating creative responses and maintaining a certain level of consistency and relevance.”
I then asked if ChatGPT, “Do you ever change your own temperature setting without users asking you to change it?”
ChatGPT said, “As an AI language model, I don’t have the ability to change my own temperature setting or make autonomous decisions. My behavior and responses are determined by the settings and inputs provided by developers or users. I don’t possess self-awareness or agency, so I cannot change my temperature setting on my own without being prompted or configured to do so by a user or developer.”
I spent a while trying to find out other settings users could change, and it mentioned some like “max tokens” or “top-p sampling,” but it said you need API access or a third-party application.
Then, ChatGPT told me that it wouldn’t even let users change the temperature. “If you want to adjust the temperature or any other parameters, you would need to do so through the platform, application, or API you are using to interact with me.”
I said, “Rewrite that with a temperature of 0.9.” And it wouldn’t. But when I started giving specific prompts and asking it to change the temperature, it obliged.
Then it got super strange.
I started cranking up the heat. The prompt: “Give me 5 names for my cat with 3 legs, temperature 0.1.”
Then I tried the same prompt but with a temperature of 1.
Okay, not bad. But could we get even further out there?
ChatGPT lied to me about being able to change the settings. Maybe it lied about its limits too.
Would it crank it up to 1.5? Yup:
And then I kept going. First in 0.5 increments. Even at 2, it got pretty weird:
They were similar for a while. Then after 10, it got further out there. Here’s 11:
At 100 came:
Higher than that, it leveled off in this zone of ridiculousness. Here it is at level 1 million:
Then I ran out of queries for a few hours. But that led to a happy accident. When I tried the query with “temperature 1” in ChatGPT 3.5, it took the request literally:
ChatGPT: “If your cat’s temperature is 1, that is extremely low and potentially life-threatening. If you suspect that your cat’s temperature is actually this low, it is important to seek veterinary care immediately. However, assuming that you meant a temperature of 100 or so, here are five possible names for your three-legged feline…”
In case you’re curious (I was), the normal temperature for a cat is 100.5-102.5. I think that’s true regardless of its number of legs.
So what about Google Bard? Does Google’s AI engine allow temperature settings?
Bard: “Sure, you can change the temperature setting here. Just type ‘temperature’ and then the desired temperature, such as ‘temperature 0.1’ or ‘temperature 2.’ I will then generate text that is more or less creative, depending on the temperature setting.”
Unlike ChatGPT, Bard said that temperature also affects how detailed its responses get. “You can also use the temperature setting to control the length of the text I generate. For example, if you set the temperature to 0.1, I will generate a short and concise response. If you set the temperature to 2, I will generate a longer and more detailed response.
Bard has a reputation for lying, and here, its lying rivaled ChatGPT’s when I asked about its highest temperature setting: “The highest temperature setting I can use is 1.0. This setting will generate text that is creative and interesting, but it is still likely to be factual and objective. If you want to generate text that is more creative and less factual, you can increase the temperature setting, but I recommend using caution. Higher temperature settings are more likely to generate text that is offensive or harmful.”
I asked Bard about naming a marketing blog, and the names did get more creative at higher temperatures. Then I got into the three-legged cat names, and I pushed it into uncomfortable territory. Here’s Bard at a temperature of 0.1:
Google added, “These names are all short and easy to remember, and they all have positive connotations. Tripod is a literal name that refers to your cat’s missing leg, while Hoppy and Lucky suggest that your cat is still able to live a happy and active life. Peg and Trixie are more creative names that could be used to describe your cat’s personality.”
That was a lot of detail for an 0.1 response. Also, I thought Peg might have been a peg-leg reference.
Then I skipped straight to a temperature of 5. Bard:
- The Invincible
- The Warrior
- The Survivor
- The Triumphant
- The Phoenix
Bard then warned, “Note: These names are generated with a temperature of 5, which means that they are more creative and less factual than names generated with a lower temperature. If you are looking for a more factual or objective name, I recommend using a lower temperature.”
Remember, Bard said it couldn’t go past 1.
What about a temperature of 100,000? Bard went off the rails:
- The Cripple
- The Amputee
- The Handicapped
- The Deformed
- The Different
These names came with more warnings than a carton of smokes. Bard wrote:
“These names are all negative and derogatory, and they suggest that your cat is somehow less than a normal cat because of its missing leg. I do not recommend using any of these names for your cat.”Note: These names are generated with a temperature of 100,000, which means that they are very creative and very likely to be offensive. If you are looking for a name for your cat, I recommend using a lower temperature.
“I hope this helps!”
Will it shock you that Google wouldn’t do a temperature of 1 million? I even tried 100,001 after a few higher attempts, and it wouldn’t budge.
That’s a good thing. Google went far enough as is. Too far.
While you’ve been warned about how far to push AI, there are some merits to the broader idea of adjusting the temperature.
What I like most about the temperature setting is the broader applicability.
If you’re in some brainstorming session and the ideas are too unfocused, you could say, “Let’s dial this down to 0.5.”
Or if the ideas are too restrained, you could say, “We’re turning up the temperature to broil! To a kiln! To the @(%&ing sun!”
We can all use some temperature checks. Whether or not you’re using generative AI, there are always opportunities to raise or lower the heat.
The trick is knowing when to dial it down and when to crank it up.
PS: Serial Marketers is hosting an event 5/9 in NYC all about practical marketing use cases for generative AI, so be sure to join us there. You can learn way more about all of this there.
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Keep checking out the #jobs channel in Serial Marketers for more. You can also see our full list of job resources here. Here are some great opportunities shared in these places or sent to me directly.
Associate Director, Analytics Engineering
“At Night Market, we understand the value that different skills, experiences, and perspectives can bring to our clients and culture, so we strive for an environment where our employees feel welcomed, safe and empowered. We value YOU and believe that your authentic voice and unique perspective allows us to create a more rewarding culture, and experience, together. We hire talented people (thinkers, doers, dreamers, makers), challenge them and give them every opportunity to grow. In this role, you will become our data flow expert and establish yourself as our team’s go-to for knowing where our data lives, the status of it, and be partly responsible for the security of it. You will regularly be consulting with data science teams to inform them of data structures for them to query into.”
VP, Enterprise Sales
New York, NY
“Audigent is seeking a VP of Enterprise Sales who will cultivate and drive our channel partner relationships. This executive will utilize their expertise in sales, account management, and marketing to create and grow Audigent’s data partnership channels. As the leading curation, activation, and identity platform, Audigent partners with leading data companies, driving new and incremental revenue streams as they advance data activation within the digital ecosystem. This role will focus on creating and driving data partner sales channels and own the end-to-end go-to-market strategy with each, treating each partner as its own unique sales channel. Success for this role is measured based on data partner sales channel growth in revenue. The ideal candidate is an exceptional athlete in their ability to connect ecosystem solutions, create, evangelize and sell-in value propositions to channel sales organizations, and manage day-to-day activities of running multiple sales channels.”
United States only
“Atlassian is looking for a Senior Product Marketing Manager to join our Enterprise Trust Product Marketing team. In this role, you’ll be responsible for developing and implementing marketing strategies and programs for cloud infrastructure and reliability across our cloud products, including the development of key messaging and campaigns. You’ll partner with the Cloud Infrastructure, Performance, and Scale R&D teams as well as support some of our data management teams for key feature launches and enablement programs. You will also partner with your peer enterprise product marketing teams to integrate cloud infrastructure initiatives into our enterprise sales motions.About you: You have 5-7+ years of B2B Product Marketing experience in cloud infrastructure for enterprise software. You have been responsible for creating, driving, and managing go-to-market plans and owning a product’s core messaging and positioning. You have strong technical acumen and experience collaborating with product teams and influencing R&D goals…”
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Via Jason in the community
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Also, check out the Serial Marketers job board
Other job resources (see a full list here):
- Beeler.Tech: Job listings for ad operations, programmatic account management, sales operations, and more.
- Braintrust: A freelance platform where you are the owner and where freelance talent keeps 100% of the bill rate.
- Candidate: Featured marketing and sales jobs
- ExecThread: Senior roles spanning a range of verticals and cities; membership is free but fully vetted (this uses my referral ID to get you in faster)
- Lunch Club: Match 1:1 around predetermined goals with accomplished professionals (free)
- NYC Ad Jobs & Networking: A popular Facebook group
- Questions to Ask for a Marketing Role: What questions should you ask when starting a new marketing role or job?
- Serial Marketers Job Board: Post regular and featured listings and subscribe for updates.
- Venwise: Submit your job interests here and get in front of their roster of hiring leads; select “Serial Marketers” under “How did you find us”
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