Mistral’s AI Rival and Stunning Slides Creation! 🤖🎨"

🌟 Welcome to the Latest Edition of Thunderbolt AI! 🌟

Hey there, AI enthusiasts! We're back with another electrifying edition of Thunderbolt AI. Get ready to dive into some exciting reads that will keep you at the edge of your seat! ⚡️

🔎 What's in Store for You Today:

1. 🤖 Mistral's Large 2 AI Model

2. 🎨 Stunning Slides with Presentations AI

3. ⚡️Lightening news

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Stay tuned as we delve into these intriguing articles that are sure to spark your curiosity and keep you informed.

Let's get started!

D-AI-LY DIGEST

Mistral Unleashes Large 2 to Rival Meta and OpenAI's Latest AI Models 🤖
Source: Techcrunch

For frontier AI models, it seems when it rains, it pours. On Wednesday, Mistral launched its latest flagship model, Large 2, which the company claims rivals the cutting-edge models from OpenAI and Meta in code generation, mathematics, and reasoning.

A New Contender on the Block 🚀

Setting the Stage

Just a day after Meta unveiled its latest open-source model, Llama 3.1 405b, Mistral stepped up with Large 2. Mistral asserts that Large 2 outperforms Llama 3.1 405b in both code generation and math performance, all while boasting a mere 123 billion parameters compared to Llama's whopping 405 billion.

Performance and Precision 📊

In their press release, Mistral emphasized their focus on reducing the model's tendency for hallucinations. Large 2 has been trained to admit its limitations rather than fabricating plausible-sounding but incorrect responses, aiming for greater accuracy and reliability.

Big Backing and Bold Moves 💰

Mistral, though a newer player in the AI arena, has quickly made waves. The Paris-based startup recently secured $640 million in a Series B funding round, led by General Catalyst, achieving a $6 billion valuation. Their rapid advancement in shipping cutting-edge AI models positions them as a serious contender.

Not Truly Open Source 🔓

However, it’s important to note that Mistral's models, like many others, require a paid license for commercial use. While they’re more open than some, such as GPT-4, implementing these massive models demands significant expertise and infrastructure.

What’s Missing? Multimodal Capabilities 📷📚

A notable absence in both Mistral’s Large 2 and Meta’s Llama 3.1 is multimodal functionality. OpenAI remains ahead in this arena, with systems capable of processing both images and text simultaneously — a feature increasingly sought after in AI development.

Token Window and Multilingual Support 🌐

Mistral’s Large 2 features a 128,000 token window, capable of processing vast amounts of data in a single prompt — equivalent to roughly a 300-page book. The model also boasts enhanced multilingual support, comprehending a variety of languages including English, French, German, Spanish, Italian, Portuguese, Arabic, Hindi, Russian, Chinese, Japanese, and Korean, along with support for 80 coding languages.

Where to Find Large 2 🔍

Mistral Large 2 is available across multiple platforms: Google Vertex AI, Amazon Bedrock, Azure AI Studio, and IBM watsonx.ai. Additionally, users can explore Large 2 on Mistral’s le Plateforme under the name “mistral-large-2407” or test it out for free on the startup’s ChatGPT competitor, le Chat.

Conclusion 🚀

Mistral's release of Large 2 marks a significant step in the AI landscape, challenging established giants like Meta and OpenAI. With its focus on reducing hallucinations, extensive multilingual support, and powerful token window, Large 2 aims to set a new standard in AI performance and accessibility. As the AI race heats up, Mistral is positioning itself as a formidable force in the realm of advanced AI models.

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LEARNING AI

How to Create Stunning Slides Using Presentations AI

Step 1: Go to Presentations AI and log in to get your credits.

Step 2: Write your prompt in the prompt box. It will generate an outline for your presentation that you can edit and adjust accordingly.

Step 3: Select the color scheme, font size, etc., from the Configure and Customize panel at the bottom.

Step 4: Once everything is set, click on Create Presentations.

Step 5: Wait for a few seconds, and you’ll get your presentation ready to be downloaded.

Step 6: You can add animations, themes, templates, and much more to your deck once it’s been generated.

Example Prompt

"Create a presentation on the topic ‘How AI is transforming the healthcare industry’"

Conclusion

By following these steps, you can create stunning and professional slides using Presentations AI. This tool streamlines the process, allowing you to customize and enhance your presentations with ease. 💻📊

AI TOOLS

🔨Make your day easier. The ultimate AI tools you cannot miss.

✅  D-ID - Check out D-ID's Creative Reality Studio to create videos with speaking characters from text. This online video generator uses AI for text generation, image creation, and face animation, allowing you to create talking characters from still images or descriptions.

✅Pictory - Pictory is a top text-to-video converter that turns long-form text into branded videos easily. Just insert your script, select a template, and the AI creates a storyboard. You can also convert existing content by sharing a link. Cool, right?

✅RawShorts - RawShorts is a versatile AI tool for animated video editing. Its standout feature is a text-to-video generator with an AI assistant. With animated charts and a vast stock media library, it's perfect for creating high-quality explainer, promo, and whiteboard animations easily.

LIGHTNING NEWS

AI Models Eating Their Own Tails: Are We Heading for a Collapse?

A new study warns that AI models may face "model collapse" if trained on their own generated data. Researchers led by Ilia Shumailov at Oxford found that this process leads to AI forgetting true data patterns. As AI-generated content fills the web, future models might repeatedly train on this skewed data, growing progressively less accurate. This potential collapse highlights the urgent need for diverse and high-quality training data to sustain AI advancements. Read here.

The Surprising Power Behind Meta's Llama 3.1

Llama 3.1, with 405 billion parameters, significantly outperforms its predecessor and rivals like GPT-4o and Claude 3.5. Meta’s open-source model allows developers to customize and optimize it for specific needs, potentially outperforming the base version. With this collaborative approach, Zuckerberg predicts Llama will surpass OpenAI's models by year's end, although the future remains uncertain. Read here.

Senators Demand AI Safety Answers from OpenAI

Five U.S. Senators have demanded answers from OpenAI CEO Sam Altman about the company's AI safety practices, following reports of rushed safety testing for GPT-4 Omni. The Senators question OpenAI's safety protocols, request that the next model be available for government testing, and ask if OpenAI will commit 20% of computing resources to AI safety research, a promise made in July 2023. This scrutiny could lead to stricter government oversight and new industry standards. Read here.

Also as we prepare more “Lightning-Marketing Case Study” content for tomorrow, we’d love to hear your thoughts on today’s edition! Feel free to share this with someone who would appreciate it.