A new guide outlines 12 practical strategies for reducing latency and inference costs of large language models (LLMs) in production, emphasizing that most gains come from eliminating unnecessary work …
Outlines, an open-source library, introduces deterministic certainty into large language model output generation to produce reliable structured outputs such as JSON objects and classification results.…
Fine-tuning adapts a pretrained large language model to a specific task using task-specific data, building on the general language understanding learned during pretraining. Pretraining teaches a model…
OpenClaw, a personal AI assistant created by Peter Steinberger, bridges local Ollama models to messaging apps like Telegram, WhatsApp, and Slack, enabling private, hardware-based AI interactions. The …
A comparison of SQL, Pandas, and AI agents on three analytics interview questions found SQL fastest and most reliable, while AI agents offered natural language convenience but higher latency and hallu…
A machine learning practitioner explains 10 essential probability concepts that underpin model decision-making, including random variables, probability distributions, and expectation, emphasizing that…
Data scientists at companies running AI in production are shifting from building models to managing AI systems, according to 2025-2026 job data from LinkedIn, Lightcast, and Gartner. The role now focu…
Hugging Face released ML Intern, an open-source CLI agent that automates machine learning tasks such as fine-tuning models, exploring research papers, and launching GPU training jobs. The tool uses th…
Small language models (SLMs) are increasingly powering next-generation AI agents, challenging the assumption that larger models are always better. NVIDIA research shows SLMs excel at repetitive, speci…
Anthropic released a guide for developers to get started with the Claude API in Python, covering installation, first API calls, response handling, and streaming. The guide uses the official Python SDK…
LangGraph, CrewAI, and OpenAI Agents SDK are among 10 agentic AI frameworks highlighted for 2026, offering developers tools for state management, multi-agent workflows, and tool integration. The list,…
The Center for AI Safety, with world experts, created Humanity's Last Exam (HLE), a benchmark of over 2,500 expert-level questions across disciplines to test AI reasoning. Even top models like GPT, Ge…
Five AI coding platforms—Lovable, v0 by Vercel, and others—enable non-technical users to build, test, and deploy full-stack apps using plain English prompts, removing setup and hosting complexities. T…
Anthropic's Model Context Protocol (MCP) enables universal tool connectivity for AI agents, and Qwen3.6-35B-A3B, a Mixture of Experts model with 262k-token context, is optimized for MCP-based agentic …
Python developer and author Abid Ali Awan published a guide to seven real-world Python projects for 2026, including an AI scam checker for Pakistani messages and a multi-agent research report generato…
A new analysis argues that retrieval-augmented generation (RAG) pipelines frequently fail in production due to retrieval irrelevance and context poisoning, with enterprise implementations showing a 72…
AI coding platforms are shifting from unlimited plans to token-, credit-, and quota-based subscriptions. Five plans—MiniMax Token Plan, MiMo Token Plan, GLM Coding Plan, and others—offer developers fl…
Google's Gemini AI integration now allows users to create, populate, and manage Google Sheets using natural language prompts, enabling automatic generation of tables, formulas, and data analysis. The …
NVIDIA and Google DeepMind have released open-source omni AI models—Nemotron 3 Nano Omni and Gemma 4 12B IT—that process text, images, audio, and video in a unified architecture, enabling enterprise a…
Demand for AI architects has sharpened in 2026 as organizations seek to turn AI prototypes into governed, cost-aware production systems. A new roadmap outlines five competency areas—technical foundati…