multimodal

Significant advancements in large language models (LLMs) have inspired the event of multimodal large language models (MLLMs). Early MLLM efforts, equivalent to LLaVA, MiniGPT-4, and InstructBLIP, show notable multimodal understanding capabilities. To integrate LLMs...

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...

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 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...

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 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...

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...

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...