When integrating internal knowledge into AI applications, three main approaches stand out:
1. Prompt Context Load all relevant information into the context window and leverage prompt caching. 2. Retrieval-Augmented Generation (RAG) Use text embeddings to fetch only the most relevant information for each query. 3. Fine-Tuning Train a foundation model to better align with specific needs.
Each approach has its own strengths and trade-offs:
Hi everyone, Dani from Jam here! We just launched Jam AI yesterday (producthunt.com/posts/jam-ai) and are super excited to see it's fully writing ~30% of bug reports on its first day! I'm here to answer any questions about the future of AI + coding/debugging, building AI products, reporting bugs, and on building startups in general!
Hi everyone, Dani from Jam here! We just launched Jam AI yesterday (producthunt.com/posts/jam-ai) and are super excited to see it's fully writing ~30% of bug reports on its first day! I'm here to answer any questions about the future of AI + coding/debugging, building AI products, reporting bugs, and on building startups in general!
Hi everyone, Dani from Jam here! We just launched Jam AI yesterday (producthunt.com/posts/jam-ai) and are super excited to see it's fully writing ~30% of bug reports on its first day! I'm here to answer any questions about the future of AI + coding/debugging, building AI products, reporting bugs, and on building startups in general!
I conducted a Fake Door Test to gauge user purchase intent before building an MVP. Here are the test results: Landing page visitors: 470
Users who took purchase action: 3
Users who signed up for the waitlist: 2
Given these metrics, should I continue pursuing this idea? The conversion rate is lower than I expected, so I'm unsure whether to stop or move forward, considering that at least three users showed purchase intent. Can you help me decide the next step?
For me these are the two most exciting things: 1. Will cash out big time from the crypto markets.
2. My goal to generate revenue with a product that I built and helps people. What's yours?
