Why isn't a vector DB enough? If you tell your AI "Alice works at Google" and "Google is in Mountain View," a standard retrieval might miss the connection. Hindsight links these facts, so it can answer "Where does Alice work?" even if you never explicitly stated the location.
@avikumart_
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Hindsight: Open-Source Long-Term Memory System for AI Agents
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Hindsight is an open-source Long Term Memory system built specifically for AI agents. It goes beyond simple vector search. We're talking: Temporal reasoning ("What did I do last spring?") Connecting disconnected facts Formulating opinions & personalities
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Hindsight Framework Improves AI Agent Memory Systems
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Building AI agents is all cool until the lack of context, LLM hallucinations and inconsistent retrieval hit the pipeline: Enter Hindsight by @vectorize_io: an open-source framework designed to make the memory work like a human:
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Multi-Head Self Attention: Key Mechanism in Transformer Models
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encoder – multi head self attention mechanism with feed forward neural nets multi head attention learns the different relations between words compared to self attention which leans to pay attention to each word in the context
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Encoder-Decoder Architecture Powers Modern Language Models
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A combination of encoder and decoder does all the magic. This architecture learns the language modelling to train on a wide range of tasks.
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Understanding Transformers: A Practical Tour Guide
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Tour with me to see how transformers work using @NanoBanana
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AI Image Generation Tool Creates NYC Sunset Scene
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@NanoBanana Create an image of the 40.7128° N, 74.0060° W at the sunset in summer
