OpenAI Dev Day: GPT 4 Turbo, custom chatbots, and more
PLUS: How you can make money with AI
Good morning, human brains. Welcome back to your daily munch of AI news.
Here’s what’s on the menu today:
Make your own ChatGPT + more Dev Day deets 🤖
No-code chatbots, GPT-4 Turbo, Assistants API, and more.
Create and test prompts with xAI’s new coding tool 🤓 🖥️
Get unprecedented insights into how AI behaves based on your inputs.
Here’s how you can make more money with AI 👔 👨💼
A new study shows how businesses who invest $1 in AI get $3.5 back.
All the juicy Dev Day Deets 🤖
In September, we covered OpenAI’s announcement of DevDay. It’s the company’s first-ever developer conference.
Last week, we reported on ChatGPT’s new updates. It allowed you to seamlessly access all of GPT-4’s capabilities and upload several document types, like PDFs.
Wasn’t DevDay yesterday?
You bet it was.
Customizable GPTs, you say?
Yes, indeed. They are customizable versions of ChatGPT that you can tailor for specific tasks without needing to code.
You can create GPTs for personal, internal business, or public use. They can search the web, create images, analyze data, and assist you in your daily life.
Can I share my GPTs with other people?
OpenAI plans to launch a GPT Store with leaderboards and categories where you can share and find other people’s GPTs.
OpenAI claims that you’ll be able to earn money based on the popularity and usage of your GPTs in the future.
What about GPT-4 Turbo?
You said it. It’s a beefed-up version of GPT-4 that features a 128K token window, lower costs, multimodal capabilities, and more.
So it’s slightly better than GPT-4?
It has many more capabilities. It comes with:
Improved instruction-following capabilities.
A JSON mode that outputs structured data for developers.
3x lower costs.
Function calling updates and more.
Nothing new with plain ol’ ChatGPT?
GPT 3.5 Turbo got some love too. OpenAI updated it with a 16k context window, 38% better instruction-following capabilities, JSON mode, and more.
Sweet, what’s up with the Assistants API update?
The new Assistants API enables you to create AI applications that can understand goals and call upon various models and tools to achieve various tasks.
It includes a Code Interpreter for executing Python Code, Retrieval for accessing external knowledge, and more.
Wow, that’s a lot of updates.
That’s not even close to everything that was revealed at Dev Day.
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BUZZWORD OF THE DAY
Use Elon Musk’s AI coding tech 🤓 🖥️
On Monday, we reported on xAI’s new AI model, Grok. It’s up-to-date, it wittily answers prompts suggests questions to ask, and more.
Later that day, it unveiled a new tool called PromptIDE. It allows you to create and test prompts while using Grok-1, the AI model behind Grok.
What does the IDE stand for?
Integrated Development Environment.
It’s an application where you can develop, test, and package software code efficiently with all the necessary tools built into it.
You can write complex prompts with a built-in Python code editor and a new software development kit (SDK).
I use Visual Studio Code. I don’t like change.
PromptIDE is different because it includes access to Grok-1 and gives you detailed analytics of its responses.
You can see it breaks down your prompts, how likely it is to choose certain words, other word choices it considers, and which parts of your instructions it utilizes the most.
Can’t you already use AI, like GitHub Copilot, in an IDE?
True, but PromptIDE saves your prompts automatically and allows you to upload large files to be quickly processed and manipulated with AI.
It gives you unprecedented insight into the actions the AI takes when prompted.
We haven’t tested it, but it promises to be much more user-friendly and helpful than something like Visual Studio Pro.
I code and I enjoy AI. I want to try this.
You’re not alone, friend.
A LITTLE SOMETHING EXTRA
Here’s how AI will make you money 👔 👨💼
On Monday, we reported on why Microsoft disabled its AI-generated poll system. It inappropriately polled people about a woman’s cause of death.
In lighter news, Microsoft and IDC published a study on how AI makes businesses more profitable. It surveyed over 2,000 business leaders from around the world who brought AI into their companies.
My time is too valuable to read that.
Say no more, pal.
According to the study, organizations typically see a return on their AI investments within 14 months, with an average return of $3.5 for every $1 invested.
Generative AI is projected to contribute nearly $10 trillion to the global economy over the next decade.
Wowza. Why hasn’t every business already adopted it?
The biggest challenge companies face in adopting AI is the lack of skilled workers. 52% of respondents identified this as the main barrier.
How specifically did AI help these businesses?
Here are the top ways these companies used AI:
Streamline digital tasks and augmented creative tasks like writing and art creation.
Increase customer retention with automated personalized services and insights
Integrate better workflow and cybersecurity management.
Automate lower-level tasks, to enable employees to focus on higher-value activities.
MEMES FOR DESSERT
YOUR DAILY MUNCH
The Federal Reserve is testing a generative AI “incubator” program. It is not subject to Biden’s recent executive AI order.
Important players in the AI community write a letter to Biden. It addresses his AI Executive Order and claims open-sourcing AI will keep it safe.
Open-source AI in 2023. How open-source AI has evolved since 2022 and the hottest research trends of 2023.
OpenAI leaked updates to ChatGPT. It’s also developing a tool called Gizmo that allows you to create your own custom chatbot.
01.AI, the $1 billion startup founded by Kai-Fu Lee, unveiled a new LLM. It’s the company’s first open-source LLM, called Yi-34B.
ACCEL, a Chinese AI analog chip, outperforms NVIDIA’s chip by 3.7. It was developed by Tsinghua University and excels in computer vision tasks.
TIC-CLIP — Apple and Carnegie Mellon University’s benchmarks for continuous training of AI models that tackle vision-language tasks.
In-Context Prompt Editing — a text-to-audio generation method that significantly improves audio quality with retrieval-based prompt editing.
ROBOGEN — an automated simulation framework that teaches robots new skills with recent developments in AI models.
Chirper — an AI network with characters that interact with eachother.
Lindy — create a team of AI employees that cooperate and complete tasks.
Success AI — automate AI-generated cold emails quickly and efficiently.
Post Perfect — automate your Discord Community content.
👨 The Average Joe — Market insights, trends and analysis to help you become a better investor. We like their easy-to-read articles that cut right to the meaty bits.
TWEET OF THE DAY
OpenAI’s DevDay was yesterday. They live-streamed the keynote if you want to check it out.
Tag us on Twitter @BotEatBrain for a chance to be featured here tomorrow.
Until next time 🤖😋🧠
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