🔥 Mistral AI challenges Meta Llama 3.1

Welcome, AI enthusiasts.

Just a day after the release of Llama 3.1 405b, French AI startup Mistral AI dropped their latest flagship model: Large 2.

Between these two AI powerhouses, open models are having a moment. But how do they hold up against top closed models like GPT-4? Let’s dive in…

OPENAI Mistral's Large 2 takes on AI giants

Image source: Mistral AI

Mistral just released Large 2, a new AI model claiming to match or exceed the performance of recent offerings from OpenAI and Meta, despite having significantly fewer parameters.

The details:

Large 2 boasts 123 billion parameters, less than a third of Meta's Llama 3.1 405B, yet outperforms it in code generation and math.

The model features a 128,000 token context window and improved multilingual support for 12 languages and 80 coding languages.

Mistral claims Large 2 minimizes hallucinations and produces more concise responses than leading AI models.

The model is available to try on Le Chat, and available for use on major cloud platforms but requires a paid license for commercial use.

Why it matters: At just one-third the size of Llama 3.1 405b with benchmarks comparable to GPT-4, Mistral Large 2 is very impressive. And with two GPT-4 level open models now released in just two days, the pressure just dialed up a few notches for closed-AI leaders like OpenAI, Anthropic, and Google.

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KUAISHOU Kling AI's video generation goes global

Image source: Kling AI

Kling AI, developed by Chinese tech giant Kuaishou Technology, has released its impressive AI video model globally, offering high-quality AI generations that rival OpenAI’s (unreleased) Sora.

The details:

Kling can generate videos up to two minutes long, surpassing OpenAI's Sora's one-minute limit, however, the global version is limited to five-second generations.

The global version offers 66 free credits daily, with each generation costing 10 credits.

According to Kuaishou, Kling utilizes advanced 3D reconstruction technology for more natural movements.

The platform accepts prompts of up to 2,000 characters, allowing for detailed video descriptions.

Why it matters: When KLING launched a little over a month ago, it was only accessible if you had a Chinese phone number. While global users are still limited to 5-second generations, anyone can now generate their own high-quality videos — putting even more pressure on OpenAI to release its beloved Sora.

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MICROSOFT Bing unveils new AI-powered search

Image source: Microsoft Bing

Microsoft's Bing is testing a new generative search experience that combines traditional search results with AI-generated content — aiming to reshape how users interact with search engines.

The details:

The new experience uses LLMs to generate dynamic, AI-powered search result layouts, including answer summaries and related sections.

Bing claims the system reviews millions of sources to dynamically match content and fulfill user intent more effectively.

The feature is currently being tested with a small percentage of user queries, with Microsoft seeking user feedback via thumbs up/down icons.

Microsoft states early data shows the experience maintains the number of clicks to websites, aiming to support a "healthy web ecosystem."

Why it matters: While most users will be happy to see Microsoft’s attempts to improve Bing, these changes could have significant implications for creators and businesses that rely on SEO. Although Microsoft suggests this will maintain clickable links in results, the actual effect may vary across different search types.

Microsoft announced collaborations with Mass General Brigham and University of Wisconsin to advance AI foundation models for medical imaging, aiming to enhance radiologists' efficiency and improve patient outcomes.

Stability AI unveiled Stable Video 4D, a new AI model that can turn single object videos into multiple videos from eight different angles — with potential applications in game development, video editing, and virtual reality.

OpenAI could lose up to $5 billion this year due to high operational costs, including $7 billion for AI training and inference, and $1.5 billion for staffing, despite rapid revenue growth, according to an analysis by The Information.

Google announced updates to the Play Store, including AI-powered app reviews, curated spaces, and personalized recommendations.

Microsoft partnered with Lumen Technologies to expand its AI workload capacity, addressing infrastructure shortages in its data centers, while Lumen will adopt Azure cloud services to improve its cash flow.