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**Is your feature request related to a problem? Please describe.**
No. It is related to a future improvement.
**Describe the solution you'd like**
As stated in the title, I like to have a reliabl…
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When deleting from memory it would be very usefull to be able to distinguish between short term memory and long memory. Short term memory we would use for information that changes frequently…
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CrewAgentExeutor self.crew is None. Causes the memory build to fail
code:
if self.crew and self.crew.memory:
contextual_memory = ContextualMemory(
self.crew._sho…
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This is the output of the Context appended by Long Term, Short Term and Entities Memory.
["Historical Data:\n- Ensure that the initial 'Thought' statement is removed from the final answer as it may…
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https://en.wikipedia.org/wiki/Long_short-term_memory
This looks pretty cool. I'll see if I can think of a way to implement it while still keeping the "single loop over connections" that we have.
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I'm trying to ship a CrewAI application into production. The current implementation of short and long-term memory use SqlLite and ChromaDB and don't allow the ability to swap out these stores with any…
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This feature request proposes the integration of a Long Short-Term Memory (LSTM) network-based model for predicting Reliance stock prices .
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Please assign this to me, I would like to present a documentation on it
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- 长短时记忆网络 - Long Short Term Memory Network - LSTM
- 通过遗忘和保留记忆的机制减少梯度爆炸(explode)/ 梯度消失(vanish)。
# Reference
- [ ] [浅谈RNN、LSTM + Kreas实现及应用](https://www.cnblogs.com/shenpings1314/p/10428519.html)
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