Recent Advances in Multi Modal Large Language Models

"A recent paper provides a comprehensive survey of 𝗠𝗠-𝗟𝗟𝗠𝘀, covering model architecture, a taxonomy of 126 MM-LLMs, and their performance on benchmarks, along with key training strategies.

The survey also outlines future directions for 𝗠𝗠-𝗟𝗟𝗠𝘀 & maintains a real-time tracking website to support ongoing research in the field.

When it comes to Conversational AI & Conversational UI-s, there has been a significant focus recently in two key areas:

1. Graph Representation of Data and Flows

2. Agentic Applications / AI Agents

Agentic Applications / AI Agents

1. The surge in research papers, prototypes, and implementations in this area has been remarkable.

2. A consensus is forming around a specific architectural framework, with many works converging on this approach.

3. A number of recent papers introduced a taxonomy for foundation-model-based agent architectures, addressing both functional capabilities & non-functional qualities.

4. A key ingredient of introducing more autonomy to Agentic Applications / AI Agents is Multi-Modal LLMs..."

Author

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