The Evolution of ChatGPT: From Basic Neurons to Multimodal Agents

The Evolution of ChatGPT: From Basic Neurons to Multimodal Agents

1 This article starts from basic concepts to introduce and explain a series of key technologies used by ChatGPT, such as machine learning, neural networks, large models, pre-training + fine-tuning paradigm, and Scaling Law… It also looks ahead to the potential application areas of multimodal agents represented by ChatGPT. We hope to help readers gain … Read more

Overview of Large Multimodal Agents

Overview of Large Multimodal Agents

MLNLP community is a well-known machine learning and natural language processing community both domestically and internationally, covering NLP graduate students, university professors, and corporate researchers. The Vision of the Community is to promote communication and progress between academia, industry, and enthusiasts in the field of natural language processing and machine learning, especially for beginners. Reprinted … Read more

Unlocking Efficient Work: Building Multimodal Assistants with Phidata

Unlocking Efficient Work: Building Multimodal Assistants with Phidata

Exploring the World of Multimodal Agents: Introduction to the Phidata Framework With the development of artificial intelligence technology, the application of multimodal agents is becoming increasingly widespread. Phidata, as a powerful framework, allows users to build multimodal agents with memory, knowledge, tools, and reasoning capabilities. This article will delve into the features, application scenarios, and … Read more