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### Motivation
I notice that internval_chat/eval/evaluate_vqa.py has parameters for few-shot learning but have not been implemented correctly.
My question is:
How can we do few-shot learning …
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Hello, may I ask what the few-shot instruction(prompt) you use when doing the evaluation?
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is there an example of how to use "few shot"
how to set this two args:
(1)fewshot_split (str, optional) — Split in the dataset to draw few-shot exemplars from. assert that this not None if num_f…
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Andreas Kollegger course “Knowledge Graphs for RAG” covers creating a Neo4J Knowledge Graph and in his example he illustrates show without questions and cypher examples, the Neo4jContentRetriever gets…
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Maybe start from the collected journals and use it for examples.
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Just like Glide supports text-to-text, embeddings & speech unified API, let's try to bring a support for zero/few-shot classification.
Cohere supports this case explicitly. Other providers like OpenA…
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I'd like to send some of my saved queries (optionally, with their results) to the AI assistant, to give some examples accompanying the question. I believe this would greatly improve its answer...
P…
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One common thing in prompt engineering (or crafting) is providing examples of how you want the assistant to respond, prior to the conversation itself. These examples can be:
- embedded in the system p…
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Hi,
Which model (either chat or text-completion) should be used for in-context learning using few-shot prompting?
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Hi,
I see that your demo.py uses the open-vocabulary models by default.
How can I adapt the demo to use a few-shot (eg: 10) approach to test my images without using any label names in the model?