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I have read parts of the Med-Gemini paper and I was intrigued by the
uncertainty-guided search technique used by Med-Gemini models to improve
the accuracy of their answers. In essence, It involves an iterative
process of generating multiple reasoning...
Hello,I am encountering different LLM responses for the same prompt with
the temperature set to 0.I am using gemini-1.0-pro-002, and I have
noticed that, for some reason, setting the temperature to 0 does not
always result in the LLM returning the sa...
I ended up building one myself. It is just few lines of code
anyway.sleep_attempts = 0sleep_time = 2while True: try: response =
self.model.generate_content(contents) return response.text except
ResourceExhausted as re: print(f"ResourceExhausted excep...
two things,first, you don't need to pass a `generation_config` object to
both the constructor and the `generate_content` method. You can pass it
either the constructor or the method.for example:```generation_config =
{ "temperature": 1, "max_output_t...
To fix this, you can either request a quota increase, or what I do is to
wait some time and resubmit my request. For example I have wrote a small
python script that every time get this exception wait few seconds and
resubmit the request. You can adap...
I agree, I have also tried with temperature=0 and top_k=1, which in my
understanding should return the same response across runs. But even with
this settings the model returns different answers all he time. This
behaviour was not present in earlier g...