The researchers from Tsinghua University, Microsoft Research, University of Wisconsin-Madison, HKUST, and IDEA Research introduce LLaVA-Plus, a general-purpose multimodal assistant that enhances the capabilities of large multimodal models. By combining tool chaining and end-to-end training techniques, LLaVA-Plus acquires tool usage skills to complete various real-world tasks. The paper presents LLaVA-Plus as a source-free multimodal assistant with a wide range of applications.
Introducing LLaVA-Plus: A General-Purpose Multimodal Assistant
Creating versatile assistants that can efficiently carry out various real-world activities based on user instructions is a goal in artificial intelligence. LLaVA-Plus is a new multimodal assistant that expands the capabilities of large multimodal models (LLMs) and offers a broad range of applications.
End-to-End Training and Tool Chaining
LLaVA-Plus combines two approaches to create a powerful assistant. The first approach is end-to-end training using LLMs, where models are continuously trained to interpret visual information and follow multimodal instructions. The second approach is tool chaining with LLMs, where prompts are designed to allow the assistant to call upon various tools for specific tasks.
Enhancing Skills and Tool Usage
LLaVA-Plus acquires tool usage skills through end-to-end training and enhances its capabilities over time. It can instantly create workflows, choose relevant tools from its skill library, and assemble the outcomes to complete real-world tasks. The assistant can also be improved by adding new capabilities or tools through instruction tweaking.
Expanding Possibilities
LLaVA-Plus expands the capabilities of LLMs by integrating a diverse collection of external tools. This allows the assistant to handle a wide range of tasks effectively. Empirical investigations have shown consistently better results, including a new state-of-the-art performance on VisiT-Bench.
Practical Applications
LLaVA-Plus offers a broad range of uses and can greatly enhance your company’s capabilities with AI. It can automate customer engagement, manage interactions across all customer journey stages, and redefine your sales processes. Implementing AI gradually and customizing the solution to your needs is key to success.
Evolve Your Company with AI
If you want to stay competitive and leverage AI for your advantage, consider implementing LLaVA-Plus or other AI solutions. Identify automation opportunities, define measurable KPIs, select the right AI tools, and implement gradually. Connect with us at hello@itinai.com for AI KPI management advice and stay tuned on our Telegram channel t.me/itinainews or Twitter @itinaicom for continuous insights into leveraging AI.
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List of Useful Links:
- AI Lab in Telegram @aiscrumbot – free consultation
- This AI Paper Introduces LLaVA-Plus: A General-Purpose Multimodal Assistant that Expands the Capabilities of Large Multimodal Models
- MarkTechPost
- Twitter – @itinaicom
