LLM chat window screenshot
I have seen this more than once in LLM models. Recently started experimenting with llama2.
I observe that the model gives a results and then later realises that it might have been inappropriate, and then corrects itself rather than not giving incorrect/ inappropriate answer in the first place.

LLM chat window screenshot
I have seen this more than once in LLM models. Recently started experimenting with llama2.
I observe that the model gives a results and then later realises that it might have been inappropriate, and then corrects itself rather than not giving incorrect/ inappropriate answer in the first place.

LLM chat window screenshot
I have seen this more than once in LLM models. Recently started experimenting with llama2.
I observe that the model gives a results and then later realises that it might have been inappropriate, and then corrects itself rather than not giving incorrect/ inappropriate answer in the first place.

I’m new to llama and prompting in general, and would appreciate some help here.

I am trying to ask Llama-3 model to read a document and then answer my questions, but my code seems does not generate any output. Can someone tell me what’s wrong with the code? I appreciate it.

I am trying to ask Llama-3 model to read a document and then answer my questions, but my code seems does not generate any output. Can someone tell me what’s wrong with the code? I appreciate it.

I have a text document related to mental health descriptions and I want to match these descriptions based on a input query. For example : When a user types in a query such as ” Give me a similar description to ” I feel calm” , I want the LLM to return ” I am relaxed” which is an exact verbatim present in the document. How can i ask the LLM to only stick to the content it sees in the document and extract the most similar content based on the query ?

I am building a document QA system, under which I have a config.yml as below