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no_gt retrieval metrics needs large amount of LLM processing.
So, use local LLM model to compute it.
+ ragas context precision need so much LLM calls. So, try to use tonic validate instead.
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I am using Memgraph Lab and the available options to add a new stream are 'Kafka/Redpanda' and 'Pulsar'.
Would it be possible to add support for ingestion streams from [nats.io](https://docs.nats.…
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Dear Author, Hi, very nice work, I have a question about evaluating the CAPE dataset, in the paper I see that you say to use the CAPE test set provided in the ICON method with 100 meshes for quantitat…
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**Issue Title**: Implement Stock Trading Bot using LSTM with `yfinance` and Backtesting
**Description**:
We need to implement a stock trading bot that utilizes Long Short-Term Memory (LSTM) netw…
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Hi there,
I am trying to calculate the CPU time for a broad range of netlogo sims, however at the moment I am only running one simulation and timing that. I have noticed that simulations (even for …
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### Component(s)
extension/observer/k8sobserver
### What happened?
## Description
When using k8s_observer with receiver creator and setting `observe_ingresses: true` it would be expected that it w…
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## Bug Report
node_metrics output plugin producing stale data for no longer existent network devices, it could be observed in mimir logs and file output dump.
It is triggered somehow by veth* virtua…
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Since we trigger on `OnPipelineCompleted` metrics the time it takes the transport to push outgoing messages into the queueing system and acknowledge the message. This means that the metrics can be si…
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Do you have data processing and training scripts for the RHP dataset?
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As a pharma company, we would like to have a technical interface to retrieve monitoring metrics on the following topics:
- Current messages in queue
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- Processing time of the last message
- Ave…