Two Posts two interesting views of #ChatGPT #LLM
The future of conversational AI: connecting LLMs to company-specific data -
Key Summary
- Current focus is researching and developing ways to integrate LLMs like GPT-3 and others into our conversational AI platform.
- Personalization of LLM for customer data, Game-changer for us is our ability to connect an LLM directly to company-specific data like a website and use it to suggest content
- Increasing transparency around the origin of the generated content
My perspective - Next Phase is Custom models based on domain data - Banking, Finance, Retail, and Healthcare could fuel more personalized systems in indexing / researching domain-relevant data. Companies with data can partner to build models and make money with the models :)
Not all Rainbows and Sunshine: the Darker Side of ChatGPT
Key Summary
- Transparency around which sources of data
- Explainable Answers - transparency around how the model arrived at this output is lacking
- Potential misuse/manipulation of facts - LLMs could be fine-tuned to spread misinformation and threaten political stability.
- Possibility of plagiarism
- The enormous carbon footprint of the training lifecycle of an LLM
- Tomorrow a model can be trained to manipulate history / Facts :(
Valid questions, I hope to see more talks around this.
As we keep discussing yes/no there are products already in the market. Using GPT to generate content writing, payment is pay per wordcount :)
Interesting AI Startups
- Tome - Generative storytelling
- runwayml - GAN Vision / Image / Text Models
- jasper.ai - Get high-quality copy written fast with AI
Create hybrid models, Capture the market :), and let the debate continue.
That's a great example of the combination of 3 powerful tactics:
- Freemium model
- Product-led growth
- Community-led growth
Keep Exploring!!!
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