Four LLM trends since ChatGPT and their implications for AI builders. Generative AI pushes autoregressive models, while autoencoding models are waiting for their moment. Open-source competes with for-profits, spurring innovation in LLM efficiency and scaling.
Table of contents
1. Generative AI pushes autoregressive models, while autoencoding models are waiting for their moment.2. Open-source competes with for-profits, spurring innovation in LLM efficiency and scaling.3. LLMs are getting operational with plugins, agents and frameworks.4. The linguistic interface of LLMs comes introduces new challenges for human-machine interaction.ConclusionReferences5 Impressions