How to Maximize GPT-6 Astra
GPT-6 Astra was recently released. I got access to it on Friday evening, European time, and have been using it extensively ever since. In this article, I’ll share my first…
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Loop Engineering with Adaptive PDF Parsing: Start Cheap, Pay for a Heavier Parser Only When the Page Needs It
and expensive. The fast parser misses the table the answer lives in. Run the heavy one on every page of a 200-page report and you pay for 200 pages to…
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How to Work Effectively with GPT-5.6
, I will give my first impressions of the newest OpenAI model, GPT-5.6. The model was released a few days ago, and I’ve gotten the chance to test it extensively…
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Context Engineering for RAG Question Parsing: From a Raw Question to Typed Fields That Steer Retrieval and Generation
talk about context engineering today, they usually mean retrieving the right context from a document: chunk selection, hybrid search, reranking, TOC-aware retrieval. That is one half of the story. The…
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Agentic RAG: Let the Agent Search
application we build is a RAG app. The recipe is simple: chunk, embed, retrieve, then answer. It looks clean on paper. But once you use it on real cases, things…
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‘HalluSquatting’ Compromises AI Coding Agents to Install Malware, Create Botnets
Hallucinations have been an ongoing problem since OpenAI first introduced its ChatGPT chatbot in November 2022, highlighting generative AI’s tendency to generate plausible but false or misleading information and its…
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Long Context Isn’t Free — I Built a Safe Prompt-Pruning Layer That Makes LLM Systems Work
I’ve worked on, conversation state tends to grow quickly over time. It’s common to resend large portions of the history on each turn—including older tool outputs, repeated RAG retrievals, and…
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Behind the Scenes of Distributed Training and Why Your GPU Wiring Matters as Much as Your Strategy
is straightforward. You load the weights, load the data, and wait for it to finish. For most models, that’s fine, and the only real cost is time. When the wait…
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The Real Challenge Limiting AI Models Today
some of the problems we face in implementing AI algorithms, we usually focus on the processors’ ability to handle them. But now, NVIDIA’s GPUs power the latest large language models,…
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Proxy-Pointer RAG: Temporal Reasoning Without Semantic Precompilation
Retrieval-Augmented Generation (RAG) has evolved rapidly in recent times. The original RAG paradigm was designed to be straightforward: retrieve the most relevant chunks from a corpus and use them to…
