Planet AI Developer Filter
Preprint reports more evidence with a smaller RAG budget
A preprint reports higher multi-hop evidence recall with less reranking and lower ranking-heavy tail latency in simulated workloads.
Planet AI Developer Filter
Preprint Tests a Multimodal Tennis Model With Nine Players
A preprint tests a multimodal tennis model using wearables, questionnaires, fitness tests and video to estimate wellness and injury risk.
Planet AI Developer Filter
Model suggests orbital angular momentum and helicity share a small-x power
An arXiv preprint models proton orbital angular momentum at small x, finding a shared power with helicity but strong sensitivity to starting conditions.
Planet AI Developer Filter
Quantum compression saves qubits, but shifts costs elsewhere
An arXiv preprint maps how quantum encodings trade fewer qubits for smaller margins, decoder rescaling and more copies for readout.
Planet AI Developer Filter
AI Simulations Link Rival Persuaders to Unsettled Belief Paths
A preprint simulation links rival persuaders, network density and peer relays to LLM belief paths, but offers no evidence about humans or real platforms.
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Quantum model gives small clusters a way to exchange electrons
A preprint tests a quantum method for electron exchange in finite clusters, with model results but no validation on realistic electrochemical interfaces.
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Release b10741 · ggml-org/llama.cpp
LLM inference in C/C++. Contribute to ggml-org/llama.cpp development by creating an account on GitHub.
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From theory to delivery: How Atos upskilled 400 engineers in agentic AI
When Atos set out to upskill 400 engineers in agentic AI, hands-on learning was the missing ingredient. Over three days, engineers built multi-agent systems on AWS through an AI League event. This post explains why Atos chose the format, what engineers...
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Language model identifies PDE terms more accurately from summaries
A 44-sample preprint benchmark found higher PDE-term recovery scores from physical summaries than raw slices, using noise-free simulations.
Planet AI Developer Filter
BanglaMamba Uses Less GPU Memory but Trails BanglaBERT
A Bangla fake-news preprint found BanglaBERT stronger on classification and external testing, while BanglaMamba used less GPU memory and ran faster.
Topics: Developer Automation
Entities: Developer Automation
Planet AI Developer Filter
Preprint model limits the pull of extreme data points
A Bayesian quantile-regression preprint reports stronger resistance to extreme observations, faster computation and 19 wins in 20 prediction comparisons.
Planet AI Developer Filter
Tokenomics at scale: How Jamf built real-time spend enforcement for Amazon Bedrock
As generative AI adoption scales, cost governance becomes a top challenge. Learn how Jamf built real-time, per-user spend enforcement for Amazon Bedrock using IAM Customer Managed Policies, an Amazon Athena cost view, and a serverless AWS Lambda loop that...