Part 10: From RAG to Harness. I tried building a mechanism to let a local LLM 'choose its own tools'
Up until the last installment, I verified the process of combining RAG with a local LLM to have it answer questions while ...
Urban heat islands are a solvable data problem: this piece shows how to combine free satellite imagery, standard ...
Flet 1.0: build web, desktop and mobile apps in Python with declarative UI, bundled Python 3.12 to 3.14, on device testing and MCP tools.
About this projectThere is a lightweight program called "Conky" that can display system information such as CPU and memory ...
Launched in 2017 as a challenger to React Native, Flutter has grown in popularity since, and now has a slightly greater share ...
Better models require less prompt engineering per task, but they also unlock higher-value results that sophisticated prompting can reach ...
XDA Developers on MSN
I trained my local LLM on its own failures, and now it learns from every mistake
It's not quite pretraining but it works ...
That ancient PC under your desk still has a few tricks left!
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