NEXUS on SageMaker JumpStart: Large Tabular Model for Enterprise Predictive AI

NEXUS: A foundation model that finally speaks tabular TL;DR NEXUS is a Large Tabular Model (LTM) pre-trained on billions of prediction tasks and over 10 billion table rows to predict directly from tables — numbers, categories, dates and short text — with reproducible outputs. Available via Amazon SageMaker JumpStart and AWS Marketplace, it runs in […]

Fine‑tune LFM2 on Colab: QLoRA + LoRA SFT with Optional DPO for Preference‑Aligned Deployments

Fine‑tune LFM2 on Colab — QLoRA + LoRA SFT with optional DPO tuning TL;DR: Run a low‑cost pipeline on a single Colab GPU to turn Liquid AI’s LFM2‑1.2B into a deployable, preference‑aligned checkpoint. The recipe pairs QLoRA (4‑bit quantization) with parameter‑efficient LoRA adapters for supervised fine‑tuning (SFT), then optionally applies Direct Preference Optimization (DPO) on […]

BigSet: LLM-powered AI agents convert plain-English requests into live datasets for sales and intel

BigSet: Turn Plain-English Requests into Live, Structured Datasets TL;DR: BigSet uses LLMs and constrained AI agents to infer a table schema from plain-English instructions, discover matching web targets, and run parallel, budgeted sub-agents to extract, dedupe, and export live datasets—no hand-coded scrapers required. It’s open-source (AGPL-3.0), self-hosted via Docker, and best suited for rapid prototyping […]

Nova Forge Hyperparameter Playbook: Validate with LoRA SFT, Escalate to Full‑Rank or RFT

The art and science of hyperparameter optimization on Amazon Nova Forge TL;DR: Use Nova Forge defaults, iterate fast with LoRA for supervised fine‑tuning (SFT), and only escalate to Full Rank when validated metric gains justify the cost. Prioritize curated data and reward engineering—those move the needle more than clever hyperparameter hacking. For most production use […]

Alphabet’s $80B Bet: AI Compute Becomes a Boardroom Capital Strategy — Actions for Leaders

Alphabet’s $80B Bet: How AI Compute Became a Balance‑Sheet Strategy — and What Leaders Should Do Executive summary: Alphabet announced an up‑to‑$80 billion equity program—$30B underwritten, $40B at‑the‑market (ATM), and a $10B private placement with Berkshire Hathaway—to fund a global build‑out of AI compute and to cover tax and administrative needs. This shifts AI from […]