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 […]

Secure AI Agent-to-Tool Calls with AgentCore Gateway: OAuth2 + PKCE for Per-User Auth

Secure AI agent-to-tool calls: OAuth 2.0 Authorization Code + PKCE with AgentCore Gateway TL;DR — Tie every AI agent action to a real user by enforcing inbound authentication at the AgentCore Gateway. Use OAuth 2.0 Authorization Code flow with PKCE (for public/native clients), an OIDC identity provider, and AgentCore Gateway JWT validation to ensure agentic […]

Palantir’s UK moment: AI for government, data sovereignty and procurement guide

Palantir’s UK moment: AI-driven analytics, data sovereignty and what leaders should do Executive summary: Palantir’s contracts with UK public bodies have pushed data sovereignty, public trust and vendor risk into the boardroom. The debate is practical — not just political — and procurement teams must treat AI-driven analytics as a combined technology, legal and governance […]

Amazon Bedrock AgentCore Identity References AWS Secrets Manager Secrets for Secure AI Agents

Amazon Bedrock AgentCore Identity: Reference AWS Secrets Manager Secrets for Secure AI Agents What changed: AgentCore Identity can now reference an existing AWS Secrets Manager secret (by ARN + JSON key) for outbound credentials instead of creating its own secret. Why it matters: Security and platform teams keep control of encryption keys (including customer‑managed KMS […]

AgentOps at Scale: Securely Operationalize AI Agents with Amazon Bedrock AgentCore

AgentOps: Operationalizing AI Agents at Scale with Amazon Bedrock AgentCore Deploying agents isn’t just shipping code — it’s shipping autonomous decision‑making that can cost you money or reputation if it breaks. AgentOps is the operational discipline for deploying, managing, and continuously improving AI agents in production. It adapts DevOps and GenAIOps practices to the unique […]