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Rob MethvenAug 24, 2026 • 6 min read
6 Sneaky Ways to Get AI to Actually Finish the Code/Email/Essay Instead of Trailing Off Mid-Sentence
6 Sneaky Ways to Get AI to Actually Finish the Code/Email/Essay Instead of Trailing Off...
#chatgpt#prompting#productivity#tips
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Rob Methven4d ago • 5 min read
How to Make ChatGPT Remember Your Preferences (So You Stop Retyping the Same Instructions Every Time)
How to Make ChatGPT Remember Your Preferences (So You Stop Retyping the Same Instructions...
#chatgpt#custominstructions#prompting#productivity
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Said OlanoAug 22, 2026 • 3 min read
Prompt Engineering in Spring AI: Crafting Effective AI Instructions
Master prompt engineering techniques to guide LLMs toward better, more reliable, and more predictabl...
#springai#prompting#prompts#java
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AI Tech ConnectAug 23, 2026 • 1 min read
Multimodal Prompting in Production: Images, PDFs, Screenshots
Text prompts fail loudly. Multimodal prompts fail quietly, because the model confabulates rather tha...
#research#prompting#ai#machinelearning
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AI Tech ConnectAug 22, 2026 • 1 min read
Prompting for Indic Languages and British English in One App
A tokeniser tax of up to 8x on Indic scripts, and a structural pull towards American spelling in eve...
#research#prompting#ai#machinelearning
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Devanshu Biswas6d ago • 3 min read
One 14-Token Line Moved Through Eight Slots Produces Exactly Two Bills, and the Expensive One Is 1.245x the Cost of Not Caching
A cache key is the bytes of your prompt up to a breakpoint. Not a summary, not a semantic fingerprin...
#ai#llm#prompting#programming
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Devanshu BiswasAug 22, 2026 • 3 min read
Counting the Lines and Tagging the Answers Both Score 74.0% at k=16, at 92.2 Against 55.4 Tokens per Item
Batch prompting (Cheng, Kasai & Yu, 2023) is one observation: put k independent items in a singl...
#ai#llm#prompting#machinelearning
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Devanshu Biswas5d ago • 3 min read
One Word Changed in One Demonstration Deletes 240 Rules or 16, at Identical Token Cost on 81 of 81 Records
Few-shot prompting under a token budget is a selection problem, not a template. To price the...
#ai#llm#prompting#programming
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Devanshu BiswasAug 23, 2026 • 3 min read
Deleting Two Thirds of Your Prompt Hits the Same 183 of 14,400 Cases as the Careful Fix, at 74.5 Tokens Against 229.7
Every prompting guide tells you to put your constraints in priority order. None of them says what...
#ai#llm#prompting#machinelearning
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Devanshu BiswasAug 24, 2026 • 3 min read
Deleting One .filter() Buys 30.15 Points for Zero Tokens While the Escape Convention Adds 0.69 Points of Silent Corruption
Ask a model for five fields and you get back one string. Between that string and your database sits ...
#ai#llm#prompting#programming
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Devanshu BiswasAug 21, 2026 • 3 min read
Taking the Longest Branch Scores 76.2% Against CoT-Decoding's 75.9%, So the Logprobs Bought Nothing
Sixty-six entries in this series changed the prompt. CoT-decoding (Wang & Zhou, 2024) changes...
#ai#llm#prompting#machinelearning
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