Master Modern AI Engineering with Production Code

Anthropic Claude Opus 4.6: Is the Upgrade Worth It?

LLM Workflows

On February 5, 2026, Anthropic released Claude Opus 4.6, and if you’ve been using Opus 4.5 and wondering if the upgrade is worth it, here’s the short answer “Yes!”. The long context retrieval alone jumped from 18.5% to 7...

Build a Custom LLM-Powered Chat App Using Chainlit

LLM Workflows

Building conversational AI applications has become increasingly accessible with the rise of large language models (LLMs). However, creating a user-friendly chat interface that can effectively interact with these models o...

Build a Private AI Chatbot Using Google’s Gemma 3n

LLM Workflows

AI-powered chatbots are reshaping the way we interact with technology, offering intelligent and personalized responses in real time. However, cloud-based solutions often raise concerns around data privacy, latency, and c...

Build a Sentiment Analysis App with Hugging Face and Streamlit

LLM Workflows

Sentiment analysis helps computers understand if text expresses positive, negative, or neutral emotions. In this tutorial, we’ll build a web app that analyzes emotions in text using Hugging Face transformers and Streamli...

Build an LLM Evaluation Framework: Metrics, Methods & Tools

LLM Workflows

Building an LLM evaluation framework requires five key steps: defining evaluation objectives, creating test datasets, selecting metrics, choosing tools, and implementing automation. This systematic approach ensures your ...

Building Visual RAG Pipelines with Llama 3.2 Vision & Ollama

LLM Workflows

LLaMA 3.2 Vision is Meta's vision-language model that processes text and images in a single input, which makes it a multimodal large language model. It overcomes the limits of traditional RAG by enabling RAG visualizatio...

Building a Language Model Application with LangChain: A Beginners Guide

LLM Workflows

With Generative AI sweeping the world, learning to build and develop applications with large language models (LLMs) is crucial. LLMs are machine learning models that can understand and generate human-like language text.

Chain of Thought Prompting Explained (with examples)

LLM Workflows

While working with a large language model (LLM) like ChatGPT or Gemini AI, we often run into situations where the model gives a wrong answer. In such cases, we can force the LLM model to derive the solutions in a step-by...

Claude Code Tutorial: How to Generate, Debug and Document Code with AI

LLM Workflows

Claude Code is an AI-powered coding assistant developed by Anthropic. It helps developers write, understand, and improve code using natural language prompts.

Context Engineering in AI: Complete Implementation Guide

LLM Workflows

Context engineering in AI is the practice of strategically designing and organizing background information to help AI systems understand specific situations, domains, or requirements for tasks. Unlike basic prompting, co...

Create Custom Workouts Using ChatGPT

LLM Workflows

In the ever-evolving world of fitness, personalized workout plans have become a sought-after solution to achieving optimal results. This is where the power of generative AI comes into play. In this tutorial, we will leve...

Create Graphical Marketing Assets Using DALL-E

LLM Workflows

Welcome to this comprehensive tutorial on leveraging the power of generative AI, specifically DALL-E, to create a collection of image-based marketing assets. Whether you're a seasoned marketer looking to innovate, or a s...

Create Text-Based Marketing Assets Using ChatGPT

LLM Workflows

Welcome to this comprehensive tutorial on leveraging the power of generative AI specifically, ChatGPT, to create a collection of marketing assets. Whether you're a seasoned marketer looking to innovate for your industry,...

Design Mobile App UI with Google Stitch (Step-by-Step Guide)

LLM Workflows

Stitch by Google is an AI-powered UI design tool introduced at Google I/O 2025 and now available through Google Labs. With Google Stitch AI, users can turn text prompts or image inputs into responsive user interfaces and...

Detecting Plagiarism in Generative AI

LLM Workflows

Generative AI (such as ChatGPT from OpenAI) is a helpful tool that can be used to assist us in a variety of tasks ranging from creating cooking recipes to debugging code and even creating an amazing Dungeons and Dragons ...

Docling AI: A Complete Guide to Parsing

LLM Workflows

Docling is an open-source framework created by IBM to convert unstructured documents into structured machine-readable formats. Instead of giving a raw text dump like most PDF tools, Docling analyzes the layout and turns ...

Genie 3: New world model by Google

LLM Workflows

Imagine typing a simple sentence like "a medieval town square bustling with life" and instantly entering a fully playable, interactive 3D environment crafted from scratch. This is where world models like Genie 3 come in....

Getting Started with Cursor CLI: A Complete Guide

LLM Workflows

Jumping between an editor, documentation, and the terminal can feel like running in circles. It breaks your rhythm, makes errors easier to miss, and slows down even the basic tasks. Cursor CLI eliminates this friction by...

Getting Started with LangChain Prompt Templates

LLM Workflows

Generative AI is revolutionizing the way we develop applications. Using LLM tools like ChatGPT or Gemini AI, we can create applications that perform multiple tasks by using different instructions. For example, we can use...

Google AI Studio: Build and Test Gemini AI Models

LLM Workflows

Most developers spend hours setting up API clients, managing credentials, and writing integration code before testing their first model interaction. Google AI Studio skips this setup by providing a browser workspace wher...

Google VaultGemma: A Guide to Privacy-First LLMs

LLM Workflows

AI models are evolving across industries as powerful tools, but the question about how to keep private data safe still hangs over its use. Traditional large language models memorize and reveal parts of their training dat...

How To Use Code Llama

LLM Workflows

Code Llama is Meta's specialized AI coding assistant that helps developers generate, complete, and debug code across multiple programming languages. Released in 2023, this large language model transforms natural language...

How to Build RAG Pipelines in AI Applications?

LLM Workflows

Retrieval augmented generation (RAG) is an AI technique we use to generate accurate responses to user queries by retrieving relevant documents for the query from an external database and using them as context for a large...

How to Create Effective AI Prompts (With Examples)

LLM Workflows

As artificial intelligence (AI) integrates itself into everyday tasks-from drafting emails and analyzing data to generating ideas and solving complex problems-the ability to communicate effectively with AI tools has beco...

How to Fine Tune Large Language Models (LLMs)

LLM Workflows

LLM fine-tuning is the process of taking a pre-trained LLM and training it on a specific dataset to improve its performance for a particular use case. This approach is cost-effective, as it adapts an existing model to a ...

How to Fine-Tune Google Gemma 270M with Unsloth and QLoRA

LLM Workflows

Google Gemma is a family of lightweight, open-weight large language models built from the research behind Gemini. The Gemma 3 release includes five parameter sizes: 270M, 1B, 4B, 12B, and 27B with commercial-friendly lic...

How to Run Deepseek R1 Locally

LLM Workflows

Deepseek R1 is an open-source large language model (LLM) built for tasks like conversational AI, code generation, and natural language understanding. It can be used for:

How to Run Llama 3 Locally

LLM Workflows

Llama 3 is a powerful large language model (LLM) that has been gaining popularity among developers for its ability to generate human-like text. With fine-tuning options, context understanding, and improved performance, L...

How to Run and Use OpenAI's GPT-OSS Locally

LLM Workflows

GPT-OSS are OpenAI's first open-weight models in 20b and 120b parameter variants. You can download and run these models locally with tools like Ollama. In this guide we will show you how to set up and run GPT-OSS locally...

Implementing Memory in LLM Applications Using LangChain

LLM Workflows

We often use LLM applications like ChatGPT or Google Gemini conversationally. To get better answers to our queries, we prompt iteratively and at every iteration, we provide an improved prompt. During this process, the LL...

Jan-v1 Tutorial: Build a Smart Q&A Assistant

LLM Workflows

Jan-v1 is a breakthrough 4B parameter AI model that achieves 91.1% accuracy in question-answering tasks while running 100% offline on your device. This remarkable performance surpasses even Perplexity Pro (90.6%), making...

NVIDIA Nemotron 3 Nano tutorial: Build a research paper summarizer

LLM Workflows

NVIDIA Nemotron 3 Nano is an open-source language model that handles up to 1 million tokens in a single context window - roughly 750,000 words or an entire 200-page research paper in one go. Released on December 15, 2025...

Nano Banana Pro Tutorial: Create & Edit Images

LLM Workflows

Nano Banana Pro is Google's advanced AI image generation model, powered by Gemini 3, which creates and edits images through text prompts. Available in the Gemini app, Nano Banana Pro offers professional-level creative co...

Plan a Dungeons and Dragons Session with ChatGPT

LLM Workflows

Are you an adventurer looking for a quest to embark upon? Are you also someone with a day job and adult responsibilities that have been asked to plan and run a Dungeons and Dragons (D&D) game? Look no further! In this tu...

Prompt Engineering 101: Understanding Zero-Shot, One-Shot, and Few-Shot

LLM Workflows

Prompt engineering is the practice of designing input prompts for large language models (LLMs) to get the best possible outputs in a desired format. Using a prompt template, we provide a large language model with context...

Prompt Engineering vs Fine Tuning: When to Use Each

LLM Workflows

When building AI applications using large language models(LLMs), developers face a crucial decision in the fine-tuning vs prompt engineering debate. Choose LLM fine-tuning when you need specialized domain knowledge, have...

Setup and Fine-Tune Qwen 3 with Ollama

LLM Workflows

This guide shows you how to set up and fine-tune Qwen 3 models using Ollama.

Using ChatGPT to Debug Python Code

LLM Workflows

How does Generative AI understand the context of a sentence, paragraph, or piece of code written? There are two answers! First, Generative AI has been trained and continues to train as it interacts with you and the rest ...

Using DeepEval for Large Language Model (LLM) Evaluation in Python

LLM Workflows

DeepEval is an open-source Python framework that lets you evaluate outputs from large language models (LLMs) and retrieval augmented generation (RAG) applications using 14+ built-in metrics like hallucination, toxicity, ...

What is DSPy? Build a Text-to-SQL App with Python

LLM Workflows

Building applications with LLMs feels like an art form. We spend hours crafting the perfect prompt, tweaking the words, but it breaks when we switch models or update our use case. This trial-and-error manual approach to ...

What is GPT 5: OpenAI's Latest Model Explained

LLM Workflows

OpenAI has released GPT 5, marking a significant upgrade from previous ChatGPT models. In this article, we'll explore its features and test prompts, compare it with earlier models, and even build a game using GPT-5.

What is Retrieval-Augmented Generation (RAG) in AI?

LLM Workflows

Retrieval-augmented generation(RAG) is the process of retrieving relevant documents for a user query, augmenting the documents with the query, and passing it to a large language model(LLM) for generating accurate outputs...

What is a Vector Database in AI? How They Work

LLM Workflows

This article discusses the basics of vector databases, their working, and applications through an example using ChromaDB.

Detecting Hallucinations in Generative AI

LLM Workflows

Generative AI is a helpful tool that can be used to assist us in a variety of tasks ranging from creating cooking recipes to debugging code and even creating an amazing Dungeons and Dragons scenario! But we need to be co...

LLM Evaluation: Metrics, Benchmarks & Best Practices

LLM Workflows

Large language models (LLMs) have transformed the way we research, write, and code. With their wider adoption, ensuring that the LLM applications are reliable, accurate, and safe to use is also essential. LLM evaluation ...