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Build custom generative AI experiences for the enterprise with Deepmodel Apps and Actions

Build custom generative AI experiences for the enterprise with Deepmodel Apps and Actions

Build custom generative AI experiences for the enterprise with Deepmodel Apps and Actions

Himakara Pieris

Himakara Pieris

The history of large language models (LLMs) traces the evolution of natural language processing (NLP) and artificial intelligence (AI) from early experiments in computational linguistics to the sophisticated models used today. Here is an overview of key milestones:

1950s - 1980s: Early Foundations

  • 1950: Alan Turing proposes the Turing Test to measure a machine's ability to exhibit intelligent behavior indistinguishable from a human.

  • 1957: Noam Chomsky introduces transformational grammar, which significantly influences computational linguistics.

  • 1966: Joseph Weizenbaum creates ELIZA, an early natural language processing program simulating a Rogerian psychotherapist.

  • 1970s-1980s: Development of rule-based systems and early AI models, focusing on symbolic AI and expert systems.


The AI Agents suite for
healthcare

The AI
Agents suite for
healthcare

The AI Agents suite for
healthcare

Empowering healthcare organizations to design, deploy, and scale AI agents with ease.

Empowering healthcare organizations to design, deploy,

and scale AI agents with ease.

Empowering healthcare organizations to design, deploy, and scale AI agents with ease.

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2024

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2024

San Francisco,CA

94114

San Francisco,CA

94114

San Francisco,CA

94114