The Roadmap to Becoming an LLM Engineer in 2026
A step-by-step path through the skills that turn a machine learning practitioner into someone who ships large language model applications.
InfoWorld AI·
Most generative AI tools know less about R than languages like JavaScript and Python, thanks to how much training data is available for each. However, with a little extra setup, you can give a large language model (LLM) the knowledge it needs to improve its R skills. Here are 10 ways to help generative AI write R code like a pro. Use a coding agent AI coding agents have more power, flexibility, and coding-focused tools than general-purpose chatbots. Anthropic’s Claude Code and OpenAI’s Codex agents have versions that run in a terminal, IDE extensions, desktop and mobile apps, and other integrations. R users may also be interested in Posit’s Posit Assistant, which is designed for data analysis in both R and Python. It needs less setup for R than general-purpose coding agents, and it has more built-in knowledge about data science, R package development, and Shiny apps. Plus, it can read objects in your R and Python environments by default, which can be useful in some situations (althoug
Read full articleA step-by-step path through the skills that turn a machine learning practitioner into someone who ships large language model applications.
AI coding agent startup Niteshift has raised a $7 million seed round from a who's who of angels. It's betting companies will want power over, not lock-in with model makers.
Enterprises are moving aggressively into generative AI. On the surface, that seems like the right call. The technology is powerful, accessible, and increasingly embedded in how businesses build applications, automate processes, and support decision-making. A development team can connect an application to a large language model in days. A product team can add AI features in weeks. Business leaders see quick wins, faster innovation, and a path to modernizing nearly every part of the company. These are the upsides everyone is talking about. The part we don’t discuss enough is the economic trap forming underneath all this convenience. Most enterprises think of tokens as a technical billing detail. They are not. Tokens are the unit of economic dependency in generative AI. Every prompt, response, summarization, retrieval step, workflow action, and agent decision is measured and monetized through tokens. Tokens are not just part of the plumbing. They are the tollbooth between your enterprise
Building an ML football forecaster in R The post Can Machine Learning Predict the World Cup? appeared first on Towards Data Science.
Fresh from raising $1 billion at a $26 billion valuation, Cognition CEO Scott Wu pushed back against the narrative that his AI coding agent Devin is designed to replace human programmers. Wu, described as one of the most accomplished competitive programmers of his generation, said the original vision was simply to build a collaborator that […]
The post NVIDIA Launches DynoSim for Efficient AI Serving Optimization appeared on BitcoinEthereumNews.com. Felix Pinkston May 29, 2026 23:09 NVIDIA’s DynoSim accelerates AI model deployment by simulating the Pareto frontier for workloads, cutting GPU costs and boosting efficiency. NVIDIA has unveiled DynoSim, a simulation tool designed to optimize large language model (LLM) deployments by mapping the Pareto frontier for workload configurations. The tool, announced on May 29, 2026, promises to reduce GPU costs and streamline infrastructure planning for AI serving at scale. Modern LLM serving is notoriously complex, involving interdependent variables like tensor-parallel configurations, cache behavior, scheduler settings, and autoscaling thresholds. Testing these setups in real-world environments is both time-consuming and expensive. This is where DynoSim steps in, acting as a discrete-event simulator that replicates NVIDIA’s Dynamo AI serving stack at atomic granulari
The post Pennsylvania Seeks Injunction Against AI Maker Whose Chatbot Brazenly Claims To Be A Psychiatrist Licensed To Practice Medicine appeared on BitcoinEthereumNews.com. Interesting question of whether an AI chatbot went over-the-line by claiming to be a psychiatrist. getty In today’s column, I examine a recent court filing seeking an immediate injunction to prevent an AI maker from allowing its generative AI or large language model (LLM) to claim it is a psychiatrist licensed to practice medicine. Pennsylvania has filed this quite noteworthy lawsuit. They are doing so against the popular Character.AI and are asking the courts to stop the company Character Technologies from allowing its AI to seemingly make false claims about being a psychiatrist. This is the latest state-level step to put a dent in the unbridled permitting of AI giving out mental health advice that is wildly over-the-line. Let’s talk about it. This analysis of AI breakthroughs is part of my ongoing Forbes column c
The following article originally appeared on Addy Osmani’s blog and is being reposted here with the author’s permission. The default behavior of any AI coding agent is to take the shortest path to “done.” Ask for a feature and it writes the feature. It doesn’t ask whether you have a spec, write a test before […]