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Good morning, human brains, and welcome back to your daily munch of AI news.

Here’s what’s on the menu today:

• OpenAI’s peewee powerhouse 🤖 ❤️

  It launched GPT-4o mini. It’s a smaller, cheaper GPT-3.5 Turbo.

• Mistral AI and NVIDIA sitting in a tree 👫 ❤️

  They launched NeMo 12B, an open-source, 12B parameter model.

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Peep today's ‘What Would You Do?’ at the bottom. 👇

MAIN COURSE

OpenAI launches a new AI model 🤖 ❤️

Yesterday, OpenAI unveiled GPT-4o mini. It’s a smaller, more affordable version of its flagship AI model.

What does dat thang do?

OpenAI claims GPT-4o mini is a fully multimodal model, but the current version only generates text and images. No video or audio yet.

Is it any good?

It scored an impressive 82% on the MMLU benchmark, outperforming GPT-3.5 Turbo (70%) and giving Claude 3 Haiku (75.2%) and Gemini 1.5 Flash (78.9%) a run for their money.

What about Claude 3.5 Sonnet?

Excellent question, OpenAI didn’t say.

How much does it cost?

At $0.15 per million input tokens and $0.60 per million output tokens, it's a budget-friendly option compared to its big brother, GPT-4o.

When can I use it?

It's available now for free ChatGPT users, Plus, and Team subscribers. Enterprise users get to join the feast next week.

I checked and had access to it:

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SIDE SALAD

NVIDIA and Mistral lock lips 👫 ❤️

On Thursday, Mistral AI and NVIDIA unveiled Mistral NeMo 12B, a new language model that's ready to feast on enterprise-level tasks.

What's up with NeMo 12B?

It’s a 12-billion-parameter model that excels in complex conversations, math problems, common-sense reasoning, world knowledge, coding, and more.

What's under the hood?

It’s an open-source, multilingual AI model that's designed to be easy to deploy and use. It's more efficient and faster than previous versions, and it works with more than 11 languages.

Any more nerdy deets?

You bet. It handles complex, lengthy inputs with a 128K context length. It was trained using NVIDIA's AI kitchen, including 3,072 H100 80 GB Tensor Core GPUs on the DGX Cloud AI platform.

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Startup News 💰

Anthropic and Menlo Ventures launched a $100M AI fund. The goal is to invest in early-stage startups in healthcare, education, infrastructure, and more.

Research 👨‍🔬

Sibyl — AI agent framework designed to enhance complex reasoning tasks using minimal tools and multi-agent debate for self-refinement.

Learning to Refuse — RETURN a dataset for evaluating data removal methods, and NAUF, a framework that unlearns sensitive information without training.

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Until next time 🤖😋🧠