A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.Awesome Artificial Intelligence A curated collection of must-use, actively maintained resources for building and shipping AI systems. Focus: AI engineering (RAG, agents, evals, guardrails, deploy) plus the best books, guides, papers, and a carefully selected set of tools. 📚 Learn Deep, durable knowledge — still valuable five years from now. Books Modern & Practical — Scalable, maintainable ML pipelines (C... Read more ›
The tech industry is currently caught in a massive hallucination cycle. If you scroll through tech news or venture capital announcement… Read more ›
DevOps engineer building reliable cloud infrastructure, automated delivery pipelines, and thoughtful products with AWS, Docker, Kubernetes, and GitHub Actions. Read more ›
If you told someone you were an “AI Engineer” a few years ago, they probably assumed you were elbow-deep in PyTorch, wrangling massive… Read more ›
From consulting to SaaS, these profitable B2B business ideas can help you build recurring revenue and long-term growth. Read more ›
Learn how the Terraform Ansible Collection 2.0, pyTFE, and an enhanced Terraform actions experience help simplify infrastructure lifecycle management across Terraform and Ansible. Read more ›
I’ve yet to meet a developer that enjoys working with metered AI APIs. This blog introduces inference snaps to help you build apps with local llm inference. Read more ›
Introduction To administer an Oracle Database Appliance (ODA), you probably use the odacli commandline tool. The principle of this tool is to run jobs in background. Fire-and-forget… or Fire-and-poll This command returns a jobId (e.g. f1338963-87a2-4cb9-8a3e-06e104270203) and the job is executed in background. To see if this job is (sucessfully) completed, you have to poll […] L’article est apparu en premier sur . Read more ›
Funding this year has already surpassed 2025 total as soaring valuations fuel fears of a hype cycle Read more ›
Large language models have moved out of the research lab and into engineers’ daily workflow. LLMs serve as reasoning engines that can orchestrate complex tasks including identifying vulnerabilities in source code and transforming fragmented project discussions into rigorous technical specifications.While the general public uses AI tools to write email and plan vacations, technical professionals use LLMs as core architectural elements that are fundamentally changing how digital infrastructures... Read more ›
Last year, we released the automation intelligent assistant (formerly Red Hat Ansible Lightspeed intelligent assistant), a generative AI service accessed through a chatbot embedded within Red Hat Ansible Automation Platform. Using a retrieval augmented generation (RAG) pipeline connected to Red Hat documentation and other trusted resources, the intelligent assistant allows administrators to use natural language prompts to help them manage and troubleshoot Ansible Automation Platform without l... Read more ›
EverGreen, founded by ex-Nvidia execs like Greg Estes, supports AI startups through investment and mentorship, leveraging Nvidia alumni networks. Read more ›
Series — Fine-Tuning, Smallest to Largest: LoRA (1.5B) ← you are here In I fully fine-tuned a 270M model — updating every weight. That's fine for a tiny model. It gets painful as models grow, because full fine-tuning needs gradients and optimizer state for every parameter (~4× the model size in memory). So: what do you do when the model is too big to comfortably fine-tune all of? The idea behind LoRA LoRA (Low-Rank Adaptation) rests on one observation: the change fine-tuning makes to a weight... Read more ›
The median venture capital (VC) deal size for all series increased between 2010 and 2025 in Europe, though with significant fluctuations. Read more ›
DevSecOps is not only about adding security tools into a CI/CD pipeline. Read more ›
From pretraining to RLHF/GRPO — every algorithm hand-written in pure PyTorch. Read more ›
Ansible AWX has been the default open source tool for running Ansible playbooks for many years, providing an API, RBAC, logging and an easy to operate user dashboard. AWX is the upstream code for Ansible Automation Controller, which is part of the Ansible Automation Platform. Ansible AWX Alternative With the stall of the Ansible AWX … Read more ›
I came across a couple of articles discussing the bigger opportunities for AI companies to make money. It turns out there are pretty much six different ways to make money if I'm a founder or an operator. I'm not sure if the consensus from the venture capital world is entirely lagging behind what's actually going on, so that's why I'm asking this question. Read more ›
A native macOS app for fine-tuning LLMs on Apple Silicon — fully on-device, fully open source. Read more ›
Before you install or upgrade, learn supported installation methods on RHEL and OpenShift and how to upgrade from Ansible Automation Platform 2.6 Read more ›