Specification engineering is emerging as the successor to prompt engineering, as AI systems move from chatbots to coding agents and autonomous workflows. The skill involves defining goals, constraints…
Ilya Sutskever, Demis Hassabis, and Dario Amodei lead the top 10 AI influencers of 2026, according to a new ranking that highlights frontier builders, infrastructure architects, academic pioneers, and…
DataCamp's free 'Introduction to AI for Work' course offers a 2–3 hour, no-prerequisite primer on AI, machine learning, generative AI, and LLMs for workplace productivity, while Maxime Labonne's free …
The AI engineer's toolkit for 2026 has shrunk to six essential tools, according to a new guide from the AI engineering community. The stack now centers on code-first graph frameworks like LangGraph an…
Olostep's Crawling API is the top pick among seven web crawling tools and APIs in 2026, offering affordable full-site crawling with clean data output for AI applications, according to a comparison tha…
GitHub launched Agentic Workflows into public preview on June 11, 2026, enabling repositories to run coding agents inside GitHub Actions for automated tasks like issue triage. The feature, built by Gi…
A Python pipeline using Claude Opus 4.8 and Pandas turns a raw sales CSV into an executive report, cleaning the data, computing metrics, and drafting insights. For a 45-row product_sales.csv dataset, …
Abacus AI offers an all-in-one AI platform with access to over 100 models, including GPT-5.5, Claude Opus 4.8, Gemini 3.1 Pro, and Grok 4.3, for $10 per month, aiming to consolidate fragmented AI tool…
Seven engineering strategies to reduce inference latency in large language model (LLM) workflows are outlined, including model quantization, key-value caching, and speculative decoding. The approaches…
MiniMax renamed its agent product Mavis in May 2026 and rebuilt it around Agent Teams, where a Leader, Worker, and Verifier split tasks, but the company's own engineering post admits this only pays of…
A new guide outlines four strategies for reducing token usage in multi-agent AI systems: static instruction caching, semantic caching, just-in-time tooling, and task escalation. The guide, published b…
KDnuggets' weekly roundup for July 27-31, 2026, features articles on building and deploying autonomous agents, with a focus on using frameworks like LangGraph for stateful checkpointing and defining c…
AssemblyAI's 2026 guide to building voice-controlled AI agents identifies orchestration—latency, turn-taking, tool calls, and interruption handling—as the core engineering challenge, not the prompt or…
Sebastian Raschka's 'Build a Large Language Model (From Scratch)' and Andriy Burkov's 'The Hundred-Page Language Models Book' are among five recommended books for deepening understanding of large lang…
Anthropic launched Claude Design on April 17, 2026, a research preview under Anthropic Labs powered by Claude Opus 4.7's vision capability that generates interactive prototypes with working navigation…
A guide from an unnamed data science source lists seven essential machine learning algorithms that remain relevant despite the rise of large language models and generative AI, arguing that simpler mod…
Professionals should focus on clear business goals, data quality, simple models, careful validation, realistic costs, and human judgment rather than chasing the latest technology, according to Iavor I…
A new GitHub repository by ChaitanyaK77 provides a step-by-step Jupyter Notebook guide for training a small language model from scratch on a single consumer-grade GPU using the TinyStories dataset, co…
Practical constraint decoding, also known as structured generation, forces large language models to generate outputs that strictly follow a specified data schema, grammar, or regex by masking logits a…
A new generation of AI-powered data tools is making data cleaning, analysis, and visualization faster and easier in 2026, according to a review of five top tools. Deepnote offers an AI-powered collabo…