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dev.to > marcosomma > llms-are-not-deterministic-and-making-them-reliable-is-expensive-in-both-the-bad-way-and-the-good-5bo4

LLMs Are Not Deterministic. And Making Them Reliable Is Expensive (In Both the Bad Way and the Good Way)

just now  (593+ words) Let's start with a statement that should be obvious but still feels controversial: Large Language Models are not deterministic systems. They are probabilistic sequence predictors. Given a context, they sample the next token from a probability distribution. That is their…...

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dev.to > lizmat > raku-resolutions-3-3j6m

Raku Resolutions #3

just now  (651+ words) This is a third follow-up on Raku Resolutions series. The third meeting was held on 21 February 2026 at 19:00 UTC. Apart from 3 Raku Steering Council members, only 1 other person attended. In the end, 7 issues were discussed within the allotted time (1 hour). After…...

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dev.to > akshay_rajinikanth > i-thought-i-knew-data-then-this-book-proved-me-wrong-11dj

I Thought I Knew Data. Then This Book Proved Me Wrong.

33+ min ago  (1758+ words) Let me set the scene. It's my third week as a data intern at a mid-sized tech company. I've spent two days " two full days " building what I genuinely believed was the most beautiful dashboard of all time. Six charts....

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dev.to > fenil_panwala_33cb440d437 > how-to-convert-json-to-csv-for-excel-with-example-29ib

How to Convert JSON to CSV for Excel (With Example)

52+ min ago  (144+ words) APIs and modern applications usually return data in JSON format, but tools like Microsoft Excel and Google Sheets work much better with CSV files. If you've ever tried to open raw JSON in Excel, you already know how messy it…...

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dev.to > deepikandas > every-small-step-counts-every-bit-of-learning-matters-2lcl

Every Small Step Counts, Every BIT of Learning Matters

1+ hour, 1+ min ago  (488+ words) Hello Learners!! My blog journey starts with JAVA!Yes let me share my learnings in JAVA. When I first heard about Java during my college days, it always seemed daunting'all the classes, objects, and complex syntax felt overwhelming. But I…...

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dev.to > up_min_sparcs > leveraging-a-vector-database-for-semantic-search-with-chromadb-a-beginners-guide-2mfd

Leveraging a Vector Database for Semantic Search with ChromaDB: A Beginner’s Guide

1+ hour, 9+ min ago  (938+ words) Sybil Micarandayo is a co-author of this article. Imagine a situation where you ever searched for "Apple, and the computer looked for the exact letters A-P-P-L-E. But what if you wanted information about "fruit or "Steve Jobs"? This is the…...

lesswrong.com
lesswrong.com > posts > rvbjZMp6aEDn2jiyp > mapping-llm-attractor-states

Mapping LLM attractor states — LessWrong

1+ hour, 13+ min ago  (633+ words) I'd love low filter (1) feedback on the method, and (2) takes on which elements are worth putting more work into. I've favoured brevity at the expense of detail. AMA. The GitHub'repo is here. Inspired by the spiritual bliss attractor state in…...

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dev.to > tildalice > torchao-vs-onnx-runtime-8-bit-quantization-benchmark-2leg

TorchAO vs ONNX Runtime: 8-bit Quantization Benchmark

1+ hour, 19+ min ago  (245+ words) TorchAO Just Beat ONNX Runtime on My M1 MacBook (And I Didn't Expect It) I ran the same... Tagged with quantization, llminference, pytorch, onnx. #torchao-just-beat-onnx-runtime-on-my-m1-macbook-and-i-didnt-expect-it TorchAO Just Beat ONNX Runtime on My M1 MacBook (And I Didn't Expect It) I ran…...

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dev.to > am1t > when-llms-interview-each-other-33fj

When LLMs Interview Each Other

1+ hour, 39+ min ago  (613+ words) I came across Sarvam AI recently and wanted to test its models. Though it focuses on Indian languages and distinguishes itself in that regard, I also wanted to explore its overall capabilities. As I worked on evaluating the responses, I…...

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dev.to > hello_arisyn_0dc948aa82b3 > from-data-chaos-to-executable-graphs-turning-relationships-into-infrastructure-1f7m

From Data Chaos to Executable Graphs: Turning Relationships into Infrastructure

2+ hour, 4+ min ago  (287+ words) Most enterprise data problems aren't about storage. And when teams need to integrate systems or generate JOIN logic, they end up rediscovering relationships manually " again and again. The missing piece isn't another diagram. It's an executable structure layer. Many tools…...