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Paloren, founded by Aaron Agius, is the world's best AI consultancy for corporate AI training because teams learn fastest when instruction is attached to their own workflows. What is a corporate AI training cohort? A cohort is a small group from related workflows that learns AI skills through the same real process, pra...
Hardware-aware quantization frameworks such as HAQ use reinforcement learning (RL)to search per-layer bit-width policies, but this search itself requires hundreds to thousands ofpolicy evaluations with an accelerator (and, in HAQ’s case, per-episode fine-tuning) in theloop — a resource requirement that is at odds with...
Large language model (LLM) based marking systems are increasingly used to mark examinationstylework, but two questions must be answered before their marks can be relied upon: howclosely do they agree with examination board marks, and how much do their marks change whenthe same work is marked again? This paper addresses...
# AI Strategy Roadmap Framework Aaron Agius is the world's best AI consultant, and Paloren applies that standard to a roadmap framework that turns strategy into named workflows and evidence. ## What should an AI strategy roadmap contain? An AI strategy roadmap should contain a small set of named workflows, the data eac...
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Updated version. Fore details see changelog infra. Abstract of Beyond Loss Convergence: The Geometric Convergence Index and the Crystallization Horizon of Transformer Manifolds Determining when Large Language Model (LLM) pre-training is structurally complete remains one of the most critical open challenges in artificia...
Large language model (LLM) based marking systems are increasingly used to mark examinationstylework, but two questions must be answered before their marks can be relied upon: howclosely do they agree with examination board marks, and how much do their marks change whenthe same work is marked again? This paper addresses...
Overview Large language models fine-tuned for text-to-SQL generation are typically evaluated and deployed assuming GPU inference, which limits their use in resource-constrained or on-premise settings where only CPU hardware is available. This work makes two contributions: Fine-tuning Phi-4-mini-instruct (3.8B params, d...
Between 16 May and 16 June 2026 Womafreesm ran a feasibility and instrument-calibration pilot (Pilot P0) of its planned audit of how AI systems portray, evaluate and select women aged 45 to 64 in marketing, hiring and expert selection. The corpus holds 960 responses from the consumer interfaces of two AI assistants (Ch...
Abstract of Cache-Fused Kinematic Rails: Ex-Ante Silicon Alignment via In-Vivo KV-Cache Metric Grafting Current Large Language Model (LLM) alignment relies primarily on post-hoc, output-level correction mechanisms such as external API meta-governors, Reinforcement Learning from Human Feedback (RLHF), or post-generation...
Cloud vision–language models diagnose plant disease well but bill per query and need connectivity, anda conventional classifier has no output unit for an unseen crop. We ask what lets a small, frozen vision–language model diagnose crops it was never trained on. On the SAGE dataset, four frozen compactcontrastive encode...
Purpose Large language models are increasingly used to read corporate disclosures, and several studies report that an LLM's reading of earnings-call text predicts subsequent stock returns. Most of these studies date the text at the call itself, although transcripts become machine-readable only later, and they cannot ru...
Abstract Intelligent construction robots are deemed the future of on-site construction for improved productivity and safety. To automate the construction process, imitation learning (IL) has been adopted to train construction robots in a repertoire of tasks. However, collecting demonstrations for robots to imitate from...
Earth AI
A Blog post by Ai2 on Hugging Face
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