How to Make Money With

1. Efficient Language Model Consulting:

   • Offer expertise in implementing these novel models

   • Help companies reduce computational costs and energy consumption

2. Low-Resource NLP Solutions:

   • Develop language processing tools for edge devices or low-power environments

   • Target IoT manufacturers or companies operating in remote areas

3. Real-Time Language Processing Services:

   • Create ultra-fast language services for time-sensitive applications

   • Market to financial trading firms, real-time translation services, or live captioning providers

4. Efficient AI Model Marketplace:

   • Create a platform for buying and selling these efficient models

   • Cater to developers and companies looking for lightweight AI solutions

5. Training and Education:

   • Offer courses on developing and implementing these novel language models

   • Target AI researchers, developers, and companies looking to stay ahead of the curve

6. Hardware Optimization:

   • Develop specialized hardware tailored for these efficient models

   • Partner with chip manufacturers or create your own hardware startup

7. Energy-Efficient Cloud AI Services:

   • Offer cloud-based language processing using these models

   • Market as a green alternative to traditional AI services

8. Optimization Tools:

   • Create software tools that convert traditional models to these efficient versions

   • Sell to companies looking to reduce their AI energy footprint

9. Efficient Multilingual AI:

   • Develop lightweight multilingual models for global companies

   • Focus on languages that are typically resource-intensive

10. AI for Developing Regions:

    • Create language tools that can run on limited hardware

    • Partner with NGOs or governments for education and development projects

11. Fast AI Writing Assistants:

    • Develop quick-response writing tools for journalists or content creators

    • Emphasize speed and low resource usage as key selling points

12. Efficient AI Research Partnerships:

    • Collaborate with universities or tech companies on furthering this technology

    • Commercialize breakthroughs through patents or spin-off companies

To pursue these opportunities:

1. Gain deep expertise in the specific techniques used (e.g., sparse or quantized models)

2. Stay updated with the latest research in this rapidly evolving field

3. Develop proof-of-concept models demonstrating clear advantages over traditional approaches

4. Network with potential clients who could benefit most from efficient language models

5. Consider open-sourcing some work to gain visibility and credibility in the field

Remember, this is a highly specialized area. Success will likely require significant technical expertise and the ability to clearly communicate the benefits of these novel approaches to potential clients or investors.