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Sundar Solai
Generative AI Product Problems #5: Security
What are the security risks of deploying LLMs to production and what can you do to stay prepared?
Generative AI Product Problems #4: Toxicity
Don't let your LLM become a liability. Proactively monitor for toxic behavior to keep your AI respectful.
Generative AI Product Problems #3: Latency
Intelligence isn't everything. Sometimes, LLMs are just too slow for good user experiences.
Generative AI Product Problems #2: Cost
LLMs are a great way to cut costs. But they're also an easy way to blow your budget.
Generative AI Product Problems #1: Accuracy and Hallucinations
LLMs are notoriously fickle and prone to making up information.
Stop Faking It Till You Make It: Increase LLM Accuracy with RAG
Retrieval-augmented generation bridges the gap between LLMs and your private knowledge base. In this post, we’ll introduce RAG and discuss how to know if it’s the right strategy for your AI app.
The Product Side of Prompt Engineering
Prompt engineering isn’t just for engineers. In this piece, we’ll apply a product lens to prompt engineering. We’ll review fundamental prompting techniques and the importance of iterating on prompts according to user feedback.
The Product Leader’s Guide to Improving your AI App: Thoughts from an ex-Google PM
AI isn’t just a frontier for engineers. It also presents complex challenges for product leaders. In this post, we’ll walk through the AI product development cycle and show you how to improve user experiences even when they’re highly personalized and rarely identical.
The Generative Leap: Where LLMs are Outpacing the Competition by 10x
Startups need to be 10x better than the competition to disrupt a market. With generative AI being a 10x technology in many ways, let’s explore how AI-native startups are using it to create outsized value.