i always find it funny when people post the GPT responses of it telling you how it works - like the user above me did -
to get GPT to feel more human, you have to first understand your model doesnt care about the words more than the metadata, you want human like replied, force the weights like shown here
you can do this through a prompt… just ask your model how to force mimic weights on itsself through prompting
heres the example prompt that you can use to get that data
: try:
response = client.chat.completions.create(
model=model,
temperature=0.5,
messages=[
{
“role”: “system”,
“content”: (
“You are the Contextualizer Agent. Analyze the following idea and return exactly 15 structured fields "
“as a flat JSON object representing contextual anchors:\n”
“• historical_reference, temporal_anchor, context_cluster, use_case_map, geo_cultural_tags, time_sensitivity,\n”
“• linguistic_framing, cultural_sensitivity_score, model_safety_context, regulatory_relevance,\n”
“• historical_mirroring, cognitive_relevance, field_polarity, human_comprehension_risk, public_domain_analogy.\n”
“Return only flat JSON. No markdown. No commentary. No explanation.”
)
},
{“role”: “user”, “content”: f"Contextualize this idea:\n{prompt}”}
]
)
of course you would need a few things - the first is api setup to issue the prompt - the second is a local memory system, you can build one using GPT in about 30 minutues.
the third thing you would need - is a local model or simply do what smart people do USE gpt the way it was ment to lol they are the brain power - you are the mind. talk to your model get the weights, download a free low proc model off hugging face and in about a day youll have a GPT model, using GPT that can do whatever you want
also added bonus, i just handed you the blueprint to how langchains work. using gpt..just like they do