Yesterday at the Pie & AI Pune event, we discussed how to overcome challenges related to inadequate data for your Generative AI Project.
🤘 We introduced a two-step solution that we recently applied for a client and shared our approach with the audience:
1. Pilot Version with Existing LLM Models: 🚀
We kick-started the project by creating a pilot version using pre-existing LLMs. To get closer to the desired results, we employed prompt engineering techniques.
This allowed users to refine the output and provide valuable feedback, creating a feedback loop to gather essential data for fine-tuning.
2. Custom Copilot from Fine-Tuning Data: 🚀
Utilizing the insights and data collected during the feedback loop, we developed a custom copilot.
This tailored solution was designed to better meet the specific needs of our client's Generative AI tool.
🤘 This approach not only addresses the challenge of insufficient data but also ensures that the AI system becomes increasingly accurate and aligned with the desired outcomes.
The biggest "commerce" companies today aren’t just profiting from selling products—they’re building ad empires.
- Amazon now earns more from ads ($38B) than from Prime, Music, and Audible combined.
When platforms grow — they open doors for countless small businesses to thrive.
@shobhitic That's why Finance Products like UPI, Insurance, Mutual Funds are great businesses in India since you charge your fees along with the Product fees.
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