ChatGPT, LLM, Adoption

Tech Adoption and Other Challenges

From the post, Customizing adding my perspectives 

Interesting Summary, Some key points I liked from the list

• They are useful as writing aids.
• Better systems will come
• Current LLMs should be used as writing aids - Content Writing Systems
• People will use them for what they are helpful with

I hope a few more things can be added to list

• Transparency around which sources of data
• Explainable Answers - transparency around how the model arrived
• Regulating models for fair use, Intentional misuse to change facts/relevance 

Already products are on the market

• Tome - Generative storytelling
• runwayml - GAN Vision / Image / Text Models
• jasper.ai - Get high-quality copy written fast with AI

Future could be Bring your own data - Build your own model. In every domain, Healthcare, Banking, Fintech, History, Geography, and Aerospace we could build custom models which could be used for assistance/learning / generating code/facts/formulas. AI assistants as Teaching assistants :)

"In a few years, people will be comfortable interacting with models and even trust them as their main source of guidance / know by questioning"

Another interesting post on the current shortcomings, I would apply the same to bridge with AI

Bridging the Divided Population - The Big Gap

• We see that of around 6,900 languages currently alive
• Just 291 have Wikipedia
• That is just 4,2% of all languages

The Big Opportunity

• Use Vision / OCR to Digitize all the literature
• Use Neural Machine Translation to translate and increase more Digital Artifacts / Promote more reading / diverse topics
• Create new artifacts, Reach broader population
• Embrace AI tech to aid education in developing countries

In Long Term

• Finetune models to understand social biases such as gender, race, religion

To go far, it's important to go and grow together :)

Most LLM are from the below set of companies

Ref - Link

Keep Exploring!!!