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Resources
- [Multi-lingual Multi-task Information Retrieval at MRL 2023](https://aclanthology.org/2023.mrl-1.24.pdf)
- [Exploiting Morphology in Turkish Named Entity Recognition System](https://a…
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- [ ] [Prompt engineering - OpenAI API](https://platform.openai.com/docs/guides/prompt-engineering/strategy-write-clear-instructions)
# Prompt Engineering - OpenAI API
## Six strategies for getting …
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#### Background
This [documentation](https://cloud.google.com/vertex-ai/generative-ai/docs/multimodal/ground-gemini) explains how to integrate Google Search grounding with the Gemini model using the …
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We are using TFRS as the recommendation solution for our usecase. Instead of returning the score associated with each item we passed the scores into the softmax and returning probability score of each…
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Repro:
// See https://huggingface.co/nvidia/NV-Embed-v1 for installation instructions
// Basically `pip install transformers` and make sure you have huggingface access
```
import torch
import…
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Great job!
Hello , i wonder if you can tell me the training mlm accuracy of encoder and decoder. Im training my retromae model now.
wwx13 updated
2 months ago
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The link of pretrained models and retrieval results sharepoints has expired. Can you update it please?
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This lambda function LambdaEmbeddingtoOpenSearch/lambda_function.py so unable to generate embeddings by using Amazon Bedrock Embedding model.
In this part of code, embedding variable is empty be…
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[x] I checked the [documentation](https://docs.ragas.io/) and related resources and couldn't find an answer to my question.
**Your Question**
How can we use RAGAS within a CI/CD model for a RAG pi…
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First of all congrats on the paper and thanks for providing the code!
In the paper at 'Zero-shot language-based multi-modal joint retrieval' you mention that integrating/combining multiple embeddin…