Python-Based Learning Roadmap for LLM Application Development
A Python roadmap for LLM apps: call APIs, craft prompts, add RAG, build agents, and use MCP while managing reliability, security, and cost.
Tutorials
Step-by-step guides to getting real tasks done with AI: set up, do the work, avoid the pitfalls.
A Beginner’s Guide to Getting Started With Ollama
This guide explains how developers can use Ollama to run local large language models in Python projects. It covers setting up Ollama, pulling models, and using the ollama library for chat and text gen…
Building an Agent: One Binary, Multiple Agents
Split one terminal coding agent into specialized helpers to reduce focus load, while managing context loss, duplicate work, and permission risks.
Building Agentic Memory with Databricks Lakebase
Databricks Lakebase beta provides managed agent memory, automating schemas, indexing, search, and isolation by sessions, threads, and users.
A Guide to Becoming Proficient in Voice Agents
This guide explains voice agents as AI systems using speech interfaces. It covers speech recognition, understanding, and synthesis, differences from text AI, and issues like speed, context, privacy, a…
Learn to Build a Vector Database from Zero in 10 Simple Steps
A step-by-step Python guide to vector databases, covering embeddings, cosine search, metadata filtering, ranking, and indexing trade-offs.
A Guide to Achieving Expertise in LLM Inference Optimization
Learn to diagnose bottlenecks and apply quantization, batching, caching, and controlled generation for faster, cheaper, reliable LLM serving.
Try These 5 ChatGPT 2.5 Features Today!
ChatGPT Images 2.5 targets controllable edits, sharper detail, stable references, reliable multi-turn revisions, and faster output.
Create a Speaker-Recognition App Using Claude Code
Build a speaker recognition internal app with Claude Code or Codex by defining scope, choosing verification, testing audio, and setting match rules.
Building Your First World Model from the Ground Up
Learn to build a world model in Python, daydream CartPole trajectories, and measure when imagined states diverge from real dynamics.
Training Small Language Models Using GRPO with Verifiable Rewards
GRPO trains compact models by comparing outputs, while verifiable rewards define the learning signal. Unsloth makes local experiments practical.
From RAG to Reliability: Building Genuinely Truthful AI Harnesses
Retrieval-augmented generation alone cannot prove claims. A truthful AI harness treats retrieved passages as candidates, not evidence, and verifies each factual statement with inspectable sources, cla…
Getting the Most Out of Your Coding Agent Subscriptions
Coding agent subscriptions deliver more value when treated as managed resources rather than unlimited chat tools. Developers and teams should audit usage, identify tasks that generate accepted changes…
Citing Muse AI Agent
Muse AI Agent's automated reply falsely told a pickup contact that the account was home at 9:27, even though the owner was unavailable. The message worsened a missed MX Keys Mini handoff, caused anger…
Enhancing the Speed and Energy Efficiency of AI Agents
Murakkab helps developers and cloud operators optimize agentic AI workflows, cutting computation by ~35% and reducing energy and costs.
Step-by-Step Measurement for an Accurate Study of Society
Egami tests political science claims using statistics, AI scrutiny, and external validity checks to improve civic research confidence.
Gemini 3.8 Text-to-Speech Sandbox
Google launched two new text-to-speech models: gemini-3.8-flash-tts and gemini-3.8-flash-lite-tts. Both offer 2,000+ built-in voices, custom voice creation from a 30-second sample, and native multi-sp…
**Identify Each Speaker in Real Time: Create Multi-Speaker AI Applications Using NVIDIA Nemotron 3 Diarization**
NVIDIA Nemotron 3 Diarization is an open-weight, 100M-parameter model that topped Voice Arena's Diarization-Bench with a 14.72% DER. Supporting up to eight speakers in live and recorded audio, it hand…
Grab and OpenAI partner to deliver hands-on AI skills across Southeast Asia
Grab and OpenAI have launched GO Forward with AI, a regional programme offering practical AI training to 30,000 Grab partners across Southeast Asia. Aimed at drivers, delivery partners, and merchants,…
Enhancing language model performance through training on a curated dataset
Recent research demonstrates that language models can be effectively guided toward specific behavioral values by fine-tuning on a small, carefully curated dataset. This approach highlights the power o…