@vedank
Eager To Learn and Share
I am a final-year Computer Science student specializing in Artificial Intelligence and Machine Learning at Vishwakarma Institute of Information Technology. I have a strong passion for developing real-world solutions by blending web technologies with generative AI. My hands-on experience includes building full-stack applications using the MERN stack, Next.js, and Prisma, and integrating them with advanced AI models. I thrive on building innovative projects that sit at the intersection of web development and AI, turning complex problems into practical and user-friendly solutions.
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Jan 14 · 3 min read · At first, forgetting in AI systems feels like a bug. Why would we deliberately throw away information when storage is cheap and retrieval is easy? But as I went deeper into memory design, I realized something fundamental: A system that never forgets ...
Join discussionJan 14 · 3 min read · Why embeddings alone can’t carry long-term knowledge When I started building AI systems, I thought vector databases were memory. You embed text, store vectors, retrieve similar ones later — that sounds like memory, right? It turns out this assumption...
Join discussionJan 14 · 3 min read · How conversations become knowledge in AI systems For a long time, I thought summarization in AI systems existed for one reason:to save tokens. That’s how it’s usually explained. Long conversations get summarized so they fit inside the context window....
Join discussionJan 8 · 3 min read · The hidden costs of “more memory” in AI systems At some point while thinking about memory for AI agents, I asked a very naive question: “Storage is cheap. Why don’t we just store everything?” All conversations. All summaries. All embeddings.If the mo...
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Jan 4 · 3 min read · Why persisting chat history quietly breaks AI agents When I first started building AI agents, I made the same assumption most people do:“If the model needs context, just store the chat history.” It sounds reasonable. The model refers to earlier messa...
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