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What is Agentic Search?
Agentic search is a model searching in a loop: it writes a query, reads the results and picks its next move, whether that is another search, a page to open or the answer. For example, a coding agent uses it to find the code behind a bug, an...
How to Build an Agent Eval You Can Trust
An agent eval is a suite of saved tasks your coding agent runs end to end, each scored by running tests the agent never saw on the repository the run leaves behind. It also checks the tool calls behind each pass, reruns every task at least...
Mac Studio vs DGX Spark vs RTX 5090
Pick the model before the computer. A Mac Studio, a DGX Spark and an RTX 5090 desktop each run a model only as big as their memory. So the model's file size decides which of the 3 can run it at all. Among the ones that can, memory speed set...
What is a Transformer?
A transformer is the neural network inside the language models you call. A tokenizer splits your text into tokens, word-sized pieces, and the transformer passes them through a stack of identical blocks to score every possible next token. Th...
Continuous Batching vs Speculative Decoding
Continuous batching and speculative decoding spend one resource: the arithmetic a GPU leaves idle while it decodes. Batching spends it on more users at once, and that is where throughput comes from. Speculation spends it on more tokens per...
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