i am trying to put {context_str} in a prompt for stable...

FFtm

i am trying to put {context_str} in a prompt for stablelm, but it is giving message that it is not initailzed. does this lm doesnt accept context string? i want it to answer specifically from the document and not from its prior know;edge

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kkapa.ai

Please stand by @Ftm as I search the knowledge base. I normally take about 20 seconds or so. :wave:

kkapa.ai

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Yes, you can certainly use {context_str} in a prompt for StableLM. The {context_str} is a placeholder that gets replaced with the actual context when the prompt is used. If you're getting an error that it's not initialized, it's likely because the context string isn't being passed correctly when the prompt is used.

Here's an example of how to set up a prompt with {context_str} for StableLM:

Plain Text

from llama_index.prompts.prompts import SimpleInputPrompt

system_prompt = """<|SYSTEM|># StableLM Tuned (Alpha version)
- StableLM is a helpful and harmless open-source AI language model developed by StabilityAI.
- StableLM is excited to be able to help the user, but will refuse to do anything that could be considered harmful to the user.
- StableLM is more than just an information source, StableLM is also able to write poetry, short stories, and make jokes.
- StableLM will refuse to participate in anything that could harm a human.
"""

# This will wrap the default prompts that are internal to llama-index
query_wrapper_prompt = SimpleInputPrompt("<|USER|>{query_str}<|ASSISTANT|>")

(Source: LlamaIndex Documentation ())

In this example, {query_str} is used as a placeholder in the query_wrapper_prompt. You can replace {query_str} with {context_str} if you want the context to be part of the prompt.

kkapa.ai

However, please note that the LLMs (Language Model Modules) in LlamaIndex, including StableLM, are designed to use both the provided context and their own prior knowledge to generate responses. If you want the model to answer specifically from the document and not use its prior knowledge, you might need to customize the model's behavior beyond just the prompts. This might involve more advanced modifications to the model's configuration or training.
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Note: you can ask me a follow up question by @ mentioning me again :speech_balloon:
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FFtm

@kapa.ai context_str is not used in thr code you provided

kkapa.ai

Let me check the knowledge base for you. One moment! :books:

kkapa.ai

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I apologize for the confusion. You're correct, the provided code does not include {{context_str}}. The {{context_str}} is typically used in the context of LlamaIndex's Prompt class to create custom prompts. Here's an example of how you might define a custom prompt using {{context_str}}:

Plain Text

from llama_index import Prompt

template = (
    "We have provided context information below. \n"
    "---------------------\n"
    "{context_str}"
    "\n---------------------\n"
    "Given this information, please answer the question: {query_str}\n"
)
qa_template = Prompt(template)

(Source: LlamaIndex Documentation ())

In this example, {{context_str}} is used as a placeholder in the template string. When the Prompt is used, {{context_str}} gets replaced with the actual context.

However, please note that the behavior of the language model (whether it uses only the provided context or also its own prior knowledge) is determined by the model's configuration and training, not just the prompts. If you want the model to answer only based on the provided context, you might need to customize the model's behavior beyond just the prompts. This might involve more advanced modifications to the model's configuration or training.
----------------------
Note: you can ask me a follow up question by @ mentioning me again :speech_balloon:
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