Exciting AI trends for 2024! 🌟 Quantum AI shaping the future 🌐 AI jobs on the rise 🤖 Multimodal AI integration 🧠 Health care AI advancements 🏥 AI in customer service improving 🤝 Deep learning progress 📚 AI and robotics innovation 🤖 Ethical AI practices evolving 🌱 #AI …

The Memory-Augmented Large Multimodal Model (MA-LMM) by AI at Meta is designed to enhance long-term video understanding by overcoming the memory and context limitations of previous models. Unlike traditional methods that struggle with large data sets, MA-LMM utilizes a memory bank…

We present our #CVPR2024 work on #EarthVision : Deep Generative Data Assimilation in Multimodal Setting that calibrates Earth system model state🌎 with diverse observations🛰️📡 using diffusion

Paper: arxiv.org/abs/2404.06665
Code: github.com/yongquan-qu/SL…

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🧠 Multimodal Large Language Models (MLLMs) are revolutionizing AI by integrating various data types, such as text, images, and audio, for more human-like interactions.

Apple presents Ferret-UI

Grounded Mobile UI Understanding with Multimodal LLMs

Recent advancements in multimodal large language models (MLLMs) have been noteworthy, yet, these general-domain MLLMs often fall short in their ability to comprehend and interact effectively with

Comparative advantages:

MA-LMM outperforms other models by integrating advanced memory management and multimodal learning, which are crucial for tasks like video summarization and event detection where understanding extended sequences is key.

Meta AI at Meta to launch small versions of Llama 3 next week

1. Meta Platforms is set to launch two small non-multimodal versions of Llama 3 next week, with the biggest Llama 3 model expected to be multimodal and released later this summer.

2. There's a general buzz around…

Now on Poe: Gemini 1.5 Pro! This powerful new multimodal model from Google introduces an industry-leading context window of 1 million tokens (~700,00 words) with near-perfect retrieval, enabling complex tasks that require long-context understanding. (1/4)

Grok 1.5 Vision Preview

Very cool! Grok 1.5 Vision is a cool multimodal model that is competitive with GPT-4 in multimodal capabilities, including image and document understanding.

Here is an example of translating a sketch to Python code...

This model is a baby step in…

Grok is going multimodal!

It’s incredible to see how fast a small, focused team can move. Kudos to the amazing team @xAI that made this possible

x.ai/blog/grok-1.5v

Grok goes multimodal with Grok-1.5V

Sample imagery analysis:

xAI is crushing it 🤯

Multimodal ❤

Grok 1.5 is xAI's first-generation multimodal model with a wide array of capabilities such as Real-World Understanding.

(See example images and link to blog post)

Have a read through this. If you are not bullish on what xAI is developing and how they are championing open source Ai, I can't help you.

If you need help, ask @GROK what the significance of Multimodal.

It will be able to process a wide variety of visual information and…

When no gold standard exist, Yas Moayedi , Shelley Hall , Farhana Latif, Jeff Teuteberg are setting the silver standards in cardiac allograft surveillance with multimodal molecular testing! 🔬💓 #ISHLT2024

Grok 1.5 announcement includes the examples that made me feel like self-driving can eventually be done (better) as a subset of a more generic AI, eg a multimodal LLM as shown here. When I was at Autopilot, this made me feel a bit worried.
Such models can do examples like the…

Large multimodal models often lack precise low-level perception needed for high-level reasoning, even with simple vector graphics. We bridge this gap by proposing an intermediate symbolic representation that leverages LLMs for text-based reasoning. mikewangwzhl.github.io/VDLM 🧵1/4

Super pumped for AI Engineer Foundation's hackathon this Saturday (April 13th) on Realtime Voice and Multimodal AI. Grateful towards Cloudflare as our location sponsor.

Prizes include: 4090 GPU and Apple Vision Pro or cash equivalent. Thanks to our sponsors: Daily, Oracle Cloud,…

#EarthVision : Deep Generative Data Assimilation in Multimodal Setting, a thread.