multimodal

ApertureData Secures $8.25M Seed Funding and Launches ApertureDB Cloud to Revolutionize Multimodal AI

ApertureData, an organization on the forefront of multimodal AI data management, has raised $8.25 million in an oversubscribed seed round to drive the event and expansion of its groundbreaking platform, ApertureDB. The round was...

A Walkthrough of Nvidia’s Latest Multi-Modal LLM Family

From LLaVA, Flamingo, to NVLMMulti-modal LLM development has been advancing fast lately.Although the industrial multi-modal models like GPT-4v, GPT-4o, Gemini, and Claude 3.5 Sonnet are probably the most eye-catching performers today, the open-source models...

Meta’s Llama 3.2: Redefining Open-Source Generative AI with On-Device and Multimodal Capabilities

Meta's recent launch of Llama 3.2, the newest iteration in its Llama series of huge language models, is a big development within the evolution of open-source generative AI ecosystem. This upgrade extends Llama’s capabilities...

AI2 unveils open source LMM ‘Mormo’… “Outperforms GPT-4o by learning from 100 times less data”

https://www.youtube.com/watch?v=spBxYa3eAlA Allen AI Institute (AI2) has launched ‘Molmo’, an open source large multimodal model (LMM) product line. AI2 claimed that its Molmo model learned high-quality data and outperformed OpenAI's 'GPT-4o' within the benchmark. Enterprise Beat...

Meta launches first multimodal model ‘Rama 3.2’… “We’ll concentrate on closed-source with open source”

Meta has launched the primary large-scale multimodal model (LMM) within the 'Rama' series that understands each images and text. Because the open source representative LMM, it declared that it will compete with closed models...

Cima Launches Low-Power Edge AI Chip ‘MLSoC Modalix’

American chip startup Cima has released a multimodal edge artificial intelligence (AI) chip. Recently, demand for AI chips has expanded from existing data center GPUs to chips for on-device AI or edge AI, and...

Hands-On Imitation Learning: From Behavior Cloning to Multi-Modal Imitation Learning

An outline of probably the most outstanding imitation learning methods with testing on a grid environmentLastly, the policy was capable of converge to an episodic reward of around 10 with 800K training steps. With...

EAGLE: Exploring the Design Space for Multimodal Large Language Models with a Mixture of Encoders

The flexibility to accurately interpret complex visual information is a vital focus of multimodal large language models (MLLMs). Recent work shows that enhanced visual perception significantly reduces hallucinations and improves performance on resolution-sensitive tasks,...

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