Admittedly not the best example—just the first that popped up in search. Here’s one from less than a month ago, so presumably using 4o or better:
LLMS
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In-Context Learning as Implicit Gradient Descent During Inference
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In-context learning is just gradient descent without explicit training! This paper "Learning without training: The implicit dynamics of in-context learning" shows that ICL can be mathematically interpreted as an implicit low-rank weight update during inference.
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LLM Context Engineering: Sending Right Context to Right Model
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When you do make that LLM call, it's all about context engineering. To get a good answer back, you need the right context at the right time sent to the right model.
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Pre-processing Information for LLM Problem Solving
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You need to pre-process all available information, prompts, and user input so the LLM can easily and reliably solve the problem. This is the most fundamental skill in working with LLMs.
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Breaking Down Components: When to Use LLMs in Software Engineering
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The solution is simpler than most frameworks make it seem. Here's the approach that actually works: – Break down what you're building into fundamental components
– Solve each problem with proper software engineering
– ONLY use LLMs when deterministic code fails -
LLMs Should Reason With Context, Not Make All Decisions
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But in reality, you don't want your LLM making every decision. You want it handling the one thing it's good at – reasoning with context – while your code handles everything else.
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Building Cost-Effective AI Agents Without Expensive LLM Calls
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Making an LLM API call is the most expensive and most dangerous operation in modern software development. While incredibly powerful, you want to avoid it at all costs and only use it when absolutely necessary. Here's how to build AI agents that actually work:
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Zenith and Summit: GPT-5 Model Specialization Roles
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It feels like Zenith might be the creative / normal part of GPT-5 and Summit is where the coding tasks would be routed. I haven't come across Zenith in any coding tasks, but in regular questions it tends to come up once in a while
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Appreciation for KV caching step-by-step explanation
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Great step-by-step breakdown on KV caching! Thanks for sharing Avi!
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Best YouTube Channel for Learning GPT and AI Technologies
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Best YouTube Channel for Learning GPT! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #NLProc #Python #RStats #TensorFlow #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode https://
geni.us/YouTube-Ch-Cha
tGPT
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