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Monday’s top story: Microsoft-backed, French AI start-up, Mistral, has joined forces with NVIDIA to launch its smallest AI model yet—NeMo—which is expected to rival OpenAI’s newest AI model, GPT-4o mini, which was launched last week.
🤔 Mistral’s NeMo rivals GPT-4o mini?
🤖 How to hire your first AI employee
🍟 AI chips from OpenAI?
📃 How to generate important documentation with AI
🪴 How to grow your professional network with ChatGPT
🛡️ GPT-4o mini: Safest chatbot ever
Read Time: 5 minutes
🫤 The reason for Friday’s global IT outage is still unclear and Microsoft could be facing a challenging week ahead in the stock market. Watch out for continued downside momentum in the large AI names. Learn more.
Our Report: French AI start-up, Mistral, has partnered with AI chip-maker, NVIDIA, to release a new, open-source, lightweight language model—called Mistral NeMo—which is its "best small model" and is expected to be a strong rival to OpenAI’s newly released GPT-4o mini.
🔑 Key Points:
Like GPT-4o mini, NeMo is capable of more cost-efficient reasoning, world knowledge, and coding accuracy because it uses less hardware than large language models (LLMs), reducing infrastructure costs.
Although it performed well in the standard industry benchmark test (MMLU)—scoring 68% for its overall knowledge and problem-solving capabilities—it didn’t score as high as the GPT-40 mini, which scored 82%.
It does have strong multilingual capabilities, though—especially in English, French, German, Spanish, Italian, Portuguese, Chinese, Japanese, Korean, Arabic, and Hindi—as it was trained on over 100 languages.
🤔 Why you should care: NeMo brings near top-tier performance, in a more cost-efficient package, making it easier and cheaper to run than larger LLMs while providing multilingual support for global applications, and—because it's open-source—it’s another step towards democratizing powerful language models, “bringing frontier AI models to everyone’s hands in all languages that form human culture.”
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Our Report: OpenAI is exploring options to develop its own AI chips to reduce reliance on NVIDIA and strengthen its own supply chain.
🔑 Key Points:
OpenAI CEO, Sam Altman, is in talks with semiconductor company, Broadcom, about potentially manufacturing the chips, so it can fulfill its data center requirements efficiently and enhance its infrastructure capabilities.
They’re also recruiting ex-Google employees—who specialize in AI hardware—to utilize their skillsets and experience to develop the new chip, and possibly even establish a network of AI chip factories, later down the line.
Although OpenAI is unlikely to develop an AI chip that can rival NVIDIA’s anytime soon, they’re hoping to shorten the development time by hiring these ex-Google employees and leveraging their expertise.
🤔 Why you should care: This comes after it was reported–back in January–that Altman was planning to raise $7 trillion to set up a network of AI chip factories (alongside the likes of Intel, Taiwan Semiconductor Manufacturing Company, and Samsung Electronics) to reduce the shortage of AI chips and promote the development of the general AI industry, bringing substantial value to everyone.
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OpenAI’s newest model—GPT-4o mini—has a new safety method, which has been designed and implemented to prevent people from trying to trick and break chatbots by telling them to “forget all previous instructions.”
The new method—which is called ‘instruction hierarchy’—places more importance on the chatbot developers' original prompts, rather than the prompts that are given to it, by users trying to break it.
If there’s a conflict, it will follow the original system message first, which will protect the model from misuse, making it the safest model yet, which could help quieten the recent criticism over OpenAI’s prioritization of safety.
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Until next time, Martin & Liam.
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