Today, we are rolling out three experimental models:

- A new smaller variant, Gemini 1.5 Flash-8B
- A stronger Gemini 1.5 Pro model (better on coding & complex prompts)
- A significantly improved Gemini 1.5 Flash model

Try them on , details in 🧵aistudio.google.com For context, we are releasing experimental models to gather feedback and get our latest updates into the hands of developers. What we learn from experimental launches informs how we release models more widely. (2/N)

We are giving developers 1,500,000,000 tokens for free everyday in the Gemini API

There is no stronger developer value proposition out there 🧵 (1/4) Gemini 1.5 Flash free tier comes with:

- 15 RPM (requests per minute)
- 1 million TPM (tokens per minute)
- 1,500 RPD (requests per day)
- free context caching, up to 1 million tokens of storage per hour
- free fine-tuning

That’s 1.5 Billion tokens free, everyday.

(2/4)

Developers always ask me why they should bet on @OpenAI and our platform.

Well here’s the simple answer (skeptics welcome):

- compute (models)
- mission
- team
- focus

I’ll go into each below. 🧵 Compute: the scaling laws are holding up, meaning we can keep making things better with bigger models (while in many cases making them more inference effective). We are going to keep making the best models and give more flexibility to developers.

No one is making an order of magnitude bet on compute like we are.

Everyone else just woke up and realized they need xxx,000 GPU’s.

People like Sam and others at OpenAI have known this for years.

Further, most platforms are just hitting scale now (or still moving towards it), we have been living and breathing the platform scaling problem for a year and a half now.

The battle scars and lessons learned are important.

Great news for devs who were not at @OpenAI Dev Day, the breakout sessions are now live on YouTube! 🎉

Check out sessions on:

- Maximizing LLM performance
- The New Stack and Ops for AI
- The Business of AI

And more! Details below 👇 A great deep dive on the new stack for LLM Ops by @sherwinwu and @shyamalanadkat:

Today is the biggest day ever for developers building with @OpenAI

We are releasing new models, API’s, open source models, and more. Full details in 🧵 Announcing GPT-4 Turbo, our latest and most powerful foundation model. 🔥

It comes with:

- lower prices (2 - 3x)
- 128,000 token context
- April 2023 knowledge cutoff
- 2x higher rate limits

And is available to all developers in the next couple of hours

The @OpenAI cookbook is one of the most underrated and underused developer resources available today ⭐️

Here are 7 notebooks you should know about 🧵 1. Improve LLM reliability:

github.com/openai/openai-…

More amazing news: GPT-4 is now generally available via our API (with fine tuning support coming later this year) 🚀

Here are the details on todays developer launch (including important info about model deprecations)🧵 First, millions of developers have requested access to GPT-4 since it was announced in March. We are excited to extend access today to all organizations/devs with a history of successful payments.

Access will be extended to all devs by July 31st.

openai.com/blog/gpt-4-api…

PSA for @OpenAI devs 📣:

Tomorrow, gpt-4 and gpt-3.5-turbo in our API will automatically be upgraded to the latest model versions (announced 2 weeks ago).

If you want more time to test, you can pin the old model version.

Details in 🧵 This follows up on what we originally announced in March:

Today:
🔵 “gpt-4” -> “gpt-4-0314”
🔵 “gpt-3.5-turbo” -> “gpt-3.5-turbo-0301”

Tomorrow:
🟢 “gpt-4” -> “gpt-4-0613”
🟢 “gpt-3.5-turbo” -> “gpt-3.5-turbo-0613”

This may cause slight changes for youopenai.com/blog/introduci…

SO much important stuff being announced @Microsoft build today. Much of which is great news for developers and ChatGPT users alike 🤯

Let's dive in 🧵 First off, developers can now use one platform to build plugins that work across both consumer and business surfaces, including ChatGPT, Bing, Dynamics 365 Copilot (in preview) and Microsoft 365 Copilot (in preview).

Hot take 🔥: you should not become a prompt engineer, even if someone paid you to be one.

Here’s why 🧵 I’ll caveat all of this by saying prompt engineering is an emerging field, but right now it lacks the foundation for long term success.

If you are looking at jobs and think the role of “prompt engineer” is a safe bet, I hope to change your mind.

ChatGPT Plugins are here 🤯

Today we are launching:
- Browsing in ChatGPT
- Code execution in ChatGPT
- 3rd party plugins

And a whole new developer ecosystem! Here's what you need to know 🧵 First off, check out the blog post announcing the new plugins blog post: openai.com/blog/chatgpt-p…

It goes into all the details as well as security considerations.

You can join the waitlist here: openai.com/waitlist/plugi…

Today is a huge day for developers. 🤯

- ChatGPT API released (10x cheaper)
- Whisper available in the API
- Overhauled data usage policy
- Focus on stability

And more!

Here’s a quick thread on everything we shipped today @OpenAI 🧵 First off, you can read the full blog post to learn more about what we are launching today: openai.com/blog/introduci…

Learning a new programming language can be difficult.

Our goal with juliaacademy.com is to make that a little easier. Here is a quick thread highlighting some of my favorite (free) #JuliaLang courses 🧵 For those with programming experience, @JaneHerriman 's course on an Intro to Julia is extremely popular. Jane is a great teacher and this course helps you build a solid #JuliaLang foundation: juliaacademy.com/p/intro-to-jul…