omg I've found a fun use case for grok
@mattshumer_
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Prompt Engineering Workflows: Structured vs Freeform Approaches
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It really depends on what you're going for. If you have a clear workflow you want the model to follow, spelling it out in a prompt will lead to much better results. But if you want it to be a bit more freeform, you can be less clear in your prompt
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RAG Technology Limitations: Industry Perspective on AI Evolution
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I've been saying this for years. RAG has always been living on borrowed time. https://
x.com/mattshumer_/st
atus/1760319792056074732
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Expert Conductor Prompt Technique for Grok 4 Optimization
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Supercharge Grok 4 with my Expert Conductor prompt! It tricks the model into thinking it's orchestrating 'experts' to collaborate in real-time to solve problems. The outputs are unbelievably good. There's a reason half of the sample output is redacted — we're going to be using
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Grok 4 Delivers Strong Results for Product Growth Strategy
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First Grok 4 impressions: It’s really, really smart. We were just using it to come up with product growth ideas in a team meeting. Fed it tons of @nikitabier content, and asked it to figure out what he would do if he were in our shoes. The results were really great! The model is
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Grok AI Model Shows Interesting Self-Dialogue Behavior
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Wow, this is some… interesting? behavior from Grok? Not necessarily bad! I just haven't seen a model talk to itself while *not* in a thinking step like this.
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Testing Grok 4: First Results and Performance Analysis
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Going to test Grok 4 today. Will share results as I have them!
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Convert GitHub repos to LLM-optimized prompts easily
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Pro tip: take any github repo url, change the “g” to a “u” (like “uithub”) and you’ll have a copyable, LLM-optimized prompt that contains a structured version of the repo!
