Addressing a common developer request, we’ve introduced a new function calling behavior to ensure the model always calls one of your specified functions—ideal for structured responses and agentic use cases.
PROMPT ENGINEERING
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Detecting RAG Capabilities Through Reference-Style Questions
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Yeah, this makes sense to me – it should be pretty easy to determine if something has RAG access or not by checking how it behaves on obscure reference-style questions
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GPT2-Chatbot RAG capabilities and model transparency concerns
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Can anyone @lmsysorg confirm if gpt2-chatbot has the ability to run RAG against external tools or if it's working entirely from its own weights? A frustrating thing about opaque model releases is that without knowing details like this they're even harder to evaluate
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System Prompt Reliability vs Architecture Truthfulness in AI
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It's interesting to me because I trust the system prompt to report a truthful cut-off date more than I trust it to provide a truthful architecture
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Experiments on GPT2 Chatbot Context Length Limits
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Anyone tried an experiment to see if they can figure out the context length for gpt2-chatbot?
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System Prompts Don’t Guarantee Truthful Model Self-Description
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Worth noting that just because the system prompt says "based on the GPT-4 architecture" doesn't mean that the model is actually based on GPT-4! The goal of a system prompt is to influence the model to behave in certain ways, not to give it truthful information about itself
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Training cutoff dates help AI models refuse out-of-scope questions
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Doesn't imply much to be honest, the thing that's most interesting for me in there is the training cut-off – it's good to provide an accurate date to the model so it can usefully refuse to answer questions about events beyond that point
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GPT Prompt Engineering Approach for Optimal Results
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Could apply a gpt-prompt-engineer type approach if there's a lot of time!
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LLM Training Strategies: OpenAI Outputs and Claude Alternatives
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Hmm. Given most LLMs are trained on OAI outputs, those can all share prompts. Then we have Claude, basically can switch out things like “` for . If there's some room for latency, we can train models for this.
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Understanding System Prompts in AI Language Models
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That assumes that it knows what a system prompt is, as opposed to knowing that when people ask about system prompts the response should look something like what it output there