Close-up of multiple tiny robots in a data center. Bright LED lights. Cables connecting servers. Shallow depth of field. Shot with a Canon EOS R5, 50mm f/1.2 lens.
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Small Language Models: The New AI Battlefield

The AI world is buzzing with new releases from Mistral AI and Qwen. Mistral AI just dropped Mistral Small v24.09, a 22 billion parameter model aimed at enterprises. It’s better than their previous version at human-like responses, reasoning, and coding. Meanwhile, Alibaba’s Qwen team went nuts and released 13 Qwen 2.5 models in one day. That’s some serious flex.

Let’s talk about what this means:

1. AI companies are in an all-out war. Mistral AI is now valued at €5.8 billion ($6.2 billion) as of June 2024. They’re not messing around.
2. Smaller models are getting scary good. The Qwen 2.5 7B model is punching way above its weight class in terms of performance vs. size.
3. This is happening fast. Like, really fast. These companies are pumping out new models left and right.
4. It’s not just the big names. OpenAI, Google, and Anthropic need to watch their backs

Secondly, keep an eye on these smaller models. They’re easier to run on your own hardware, which means more control and potentially lower costs.\n\nLastly, don’t get too attached to any one model or company. This field is moving so fast that today’s leader could be tomorrow’s old news.

The bottom line: AI is no longer just about ChatGPT or GPT-4. There’s a whole world of models out there, and they’re getting better every day. If you want to stay ahead, you need to keep up.

For more on choosing the right AI for your needs, check out my post on Claude vs. GPT: https://adam.holter.com/claude-vs-gpt-which-ai-to-use-and-when/

Stay sharp, folks. The AI race is on, and it’s only getting more intense.