Tactical Intelligence Layer
<p>This tutorial provides an end-to-end workflow for fine-tuning language models using Direct Preference Optimization (DPO). We demonstrate how to audit the Anthropic HH-RLHF dataset for structural and length-based biases, implement a robust training pipeline using TRL and LoRA, and evaluate …
<p>The United Arab Emirates (UAE) has been early in adopting artificial intelligence for 9 years. It published a national AI strategy in October 2017 and, days later, created a ministerial post to run it, making Omar Sultan Al Olama the …
<p>This tutorial provides an end-to-end workflow for fine-tuning language models using Direct Preference Optimization (DPO). We demonstrate how to audit the Anthropic HH-RLHF dataset for structural an
<p>Advertising inside ChatGPT arrived with a promise that the assistant already knows what the user wants. So far, that hasn’t entirely been the case. Searchable, the AI visibility platform, analysed
<p>AI data centre regulation in Pennsylvania now begins with a signature. Before the state will so much as open a developer’s permit file, that developer has to sign a contract accepting a fixed set of conditions and the penalties for …
<p>Autonomous artificial intelligence agents have already penetrated the offices of large, global enterprises. Now, HoneyBook is trying to bring that same capability to independent businesses with the
arXiv: PGFS++: Molecular Property Improvement under Synthesis and Diversity Constraints Improving molecular properties, such as drug-likeness or binding affinity, is a recurring task in early-stage drug discovery. However, molecules optimized in an unconstrained chemical space have limited practical value if …
arXiv: Tuning the Stochastic Machine: A Systems Engineer's Operating Model for Human-AI Engineering When an expert corrects an LLM assistant's error, the correction usually dies with the session, and the error class returns. I argue this is an operations problem, …
arXiv: Leaf Values as Coordinates: Exact Contrastive Explanation for Gradient-Boosted Ensembles A gradient-boosted ensemble predicts by summing one leaf value per tree. Read those values as coordinates rather than as intermediate results, and every instance becomes a point in R^M …
arXiv: Beyond Trial Averaging: Anchoring Neural and Visual Representations for Few-Repetition Brain-to-Image Retrieval Decoding visual information from brain signals probes neural representations and enables neuro-rehabilitation and dream decoding. Recent brain-to-image retrieval approaches have achieved promising performance, typically by averaging many …
arXiv: Pre-Compiled Pipeline Shards for Distributed LLM Inference on Intel AI PC Fleets Modern Intel AI PCs ship capable integrated GPUs and NPUs with 16+ GB of unified memory, and …
The AI buildout shows no signs of slowing. And with hundreds of billions of dollars a year going into data centers and GPUs, compute has become the single biggest cost for any
<p>NVIDIA has released TensorRT Model Connect (TRTMC) in public preview, an Apache-2.0 project that takes a supported Hugging Face or local checkpoint to end-to-end TensorRT inference in two commands, with …
<p>NVIDIA has released TensorRT Model Connect (TRTMC) in public preview, an Apache-2.0 project that takes a supported Hugging Face or local checkpoint to end-to-end TensorRT inference in two commands,
arXiv: HarnessEval-W: Agentifying the Evaluation of Visual Worlds A benchmark should deliver more than a scalar score: what makes an evaluation trustworthy is the reasoning that justifies the score. This …
New weights detected for About this sheet. Update local evaluation suite and check quantization feasibility.
Compute supply chain friction detected. Research optimization strategies to reduce GPU dependency.
Trend shift towards 'Agentic Workflows' detected. Review AI and ML Framework implementation patterns.