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Thursday’s top story: OpenAI has revealed a new AI-based approach to ensuring its AI models adhere to safety protocols.
🛡️ OpenAI’s new safety approach
👀 How to see the future of AI with WebAI
🔥 Mistral vs Meta: Introducing Large 2
📽️ How to make social videos in minutes with Augie Studio
🌍 How to adapt a brand strategy with ChatGPT
🔍 Microsoft vs Google: AI search
Read Time: 5 minutes
⬇️ The tech sector and AI stocks suffered badly during Wednesday’s session. Telsa was the biggest loser of the day down 12.33%, NVIDIA lost 6.8%, and Microsoft 3.59%. This price correction could be the start of a sustained reversal. Learn more.
Our Report: OpenAI has developed a new way to improve the safety of its AI models—called Rule-Based Rewards (RBRs)—that uses AI to align model behavior with specific safety standards and policies, without human intervention.
🔑 Key Points:
Previously, humans would score the AI model's responses to prompts based on how accurate they were or which they preferred: a method that was costly, time-consuming, and vulnerable to subjectivity.
With RBRs, safety teams can create rules for the model and AI will score its responses based on how closely they align with these rules, which is more efficient and non-subjective.
During testing, RBR-trained AI models showed improved adherence to safety standards and reduced instances of incorrectly refusing to answer a prompt, compared to those trained using human-led feedback.
🤔 Why you should care: While RBRs are a step forward in making sure AI models remain aligned with desired safety protocols—therefore creating safer models—OpenAI has acknowledged that while RBRs could reduce training time, cost, human oversight, and subjectivity, using AI to guide its models could potentially increase bias, so safety teams must design RBRs carefully “to ensure fairness and accuracy” and consider using them in conjunction with the traditional human-based feedback approach.
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Our Report: Just one day after Meta revealed its newest (and biggest) AI model—Llama 3.1—French, Microsoft-backed start-up, Mistral, launched its newest (and biggest) model: Large 2, which builds on its predecessor and is supposedly on par with OpenAI’s GPT-4o and Meta’s Llama 3.1 (and better than Anthropics Claude 3.5 Sonnet), in performance, while delivering cost benefits, due to its smaller size.
🔑 Key Points:
Large 2 has advanced multilingual capabilities (understanding languages like Arabic, Hindi, Chinese, Japanese, and Korean), and scored the same as Llama 3.1 in this area, in benchmark tests.
It also understands over 80 coding languages and has advanced math capabilities, outperforming Anthropics Claude 3.5 Sonnet, but coming a close 2nd to GPT-4o in both code generation and math benchmarks.
It follows instructions better, gives more concise responses, and, to reduce hallucinations, Mistral has fine-tuned it to be more discerning, so it will tell the user when it doesn’t know something, instead of fabricating an answer.
🤔 Why you should care: While Large 2 is open-source for non-commercial uses (unlike GPT-4o), users must pay if they want to use it commercially (unlike Llama 3.1, which is completely open-source), and it's also worth noting that, like Llama 3.1, it doesn’t have multi-modal capabilities, meaning it can just handle text, not images, audio, and video like GPT-4o can.
Together with Augie Studio
Welcome to Augie Studio, an all-in-one video studio for businesses, creators, advertisers, and AI enthusiasts to create social videos, at scale.
Key features include:
Dynamic asset library: Use over 100M high-quality images from Getty Images, no licenses required.
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Type this prompt into ChatGPT:
Results: After typing this prompt, you will get a brand strategy that allows you to maintain a consistent brand identity across different cultures and international markets.
P.S. Use the Prompt Engineer GPT by AI Tool report to 10x your prompts.
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Microsoft has previewed a new AI search feature—Bing generative search—which delivers AI-generated summaries in response to search queries, exactly like Google’s AI Overview feature.
Just a few users have the new feature, but Microsoft insists it “fulfills the intent of the user’s query more effectively” than its AI-generated chat answers, which it launched in February.
Reports show that AI Overviews has reduced website visits by 25%, but Microsoft says test data proves it “maintains the number of clicks to websites” but will “look closely at how AI search impacts visits to publishers.”
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Until next time, Martin & Liam.
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