Beyond Chatbots: Why Explainable AI & RAG Will Shape The Future of Enterprise Applications
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It has never been easier to create AI-powered applications thanks to Large Language Models (LLMs). From smart assistants to documents summarizers – you can use AI inside your product in just a couple of API calls. However, after the demo stage, a whole different set of questions appears. How can you validate AI-generated responses? How can you minimize the amount of hallucinations? How can you gain user trust? How can you ensure compliance in an enterprise environment? To tackle these issues,…
1Key Takeaways
- It has never been easier to create AI-powered applications thanks to Large Language Models (LLMs).
- From smart assistants to documents summarizers – you can use AI inside your product in just a couple of API calls.
- However, after the demo stage, a whole different set of questions appears.
- How can you validate AI-generated responses?
2AIWedia Score
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3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — ML reports that it has never been easier to create AI-powered applications thanks to Large Language Models (LLMs).
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