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A Developer’s Roadmap to Getting Started with AI in 2025

A Developer’s Roadmap to Getting Started with AI in 2025

In my last article, I wrote about a learning path of AI for beginners, in an attempt to demystify its tools and applications for day-to-day tasks. This time, we’re taking a sharp left, so to

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Cline v3.1: A Cost-Effective Alternative to Cursor and Windsurf

Cline v3.1: A Cost-Effective Alternative to Cursor and Windsurf

If you are looking for something that can replace AI coders like Cursor or Windsurf just because they are costly and require software to download. then in this article, let’s talk about somethi

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Building Graph RAG for structured and unstructured data.

Building Graph RAG for structured and unstructured data.

RAG architecture is, by far, the most adapted and sophisticated solution for missing contextualisation of LLM’s. With no overhead of fine tuning, to a huge extent problems concerning the usage o

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Agentic AI financial analysis with Autogen: what is better Bitcoin or Tesla?

Agentic AI financial analysis with Autogen: what is better Bitcoin or Tesla?

Have you ever wondered which is a better investment — NVidia or Tesla? But what if you are too lazy to do the analysis yourself or don’t even know how to begin? A serious problem, I know. How a

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Introducing Swark: Automatic Architecture Diagrams from Code

Introducing Swark: Automatic Architecture Diagrams from Code

Software architecture is hard to get right. Misaligned teams, unclear diagrams, and time-consuming processes often result in frustration and suboptimal design decisions. As engineering teams embr

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HuggingFace smolagents: The best Multi-Agent framework so far?

HuggingFace smolagents: The best Multi-Agent framework so far?

Comparing Autogen, Langraph, CrewAI, Magentic-One, etc As you must have read in multiple places, 2025 is the year of AI-Agents. So much so that Mark Zuckerberg has openly said Meta will

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Nvidia Is About To Collapse The Price Of AI Models

Nvidia Is About To Collapse The Price Of AI Models

At CES Nvidia showed off a few interesting new things. The biggest of which is Jensen Huang’s new leather jacket. I mean look at that thing: is this a tech keynote or a fashion show? Honestly,

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Performing Analytical Queries with LLMs

Performing Analytical Queries with LLMs

A Practical Approach to Using LLMs for Data Exploration and Analysis Consider the following scenario. You have a CSV file containing 5 million rows and 20 columns. This CSV file includes t

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Building Autonomous Multi-Tool Agents with Gemini 2.0 and LangGraph

Building Autonomous Multi-Tool Agents with Gemini 2.0 and LangGraph

A practical tutorial with full code examples for building and running multi-tool agents LLMs are remarkable — they can memorize vast amounts of information, answer general knowledge quest

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Thinking of a Mac Mini or Mac Pro for Open-Source LLMs?

Thinking of a Mac Mini or Mac Pro for Open-Source LLMs?

Thinking of a Mac Mini or Mac Pro for Open-Source LLMs? Cloud VMs Let You Test, Decide, and Save. *Are you considering investing in a Mac Mini or Mac Pro to experiment with open-source Large

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A Practical Guide: Fine-Tuning Large Language Models with HuggingFace

A Practical Guide: Fine-Tuning Large Language Models with HuggingFace

Co-authors: Srijith Rajamohan, Ahmed Salhin, Todd Cook, Josh Frazier Every new announcement of Large Language Models (LLMs) tends to push performance to new heights, often [surpassing the pr

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Top 21 Famous RAG Frameworks in 2025

Top 21 Famous RAG Frameworks in 2025

Revolutionizing AI with Advanced Retrieval-Augmented Generation Disclosure: I use GPT search. The entire article is still drafted by me.My writing style tends to be assertive and anal

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I Combined the Blockchain and AI to Generate Art. Here’s What Happened Next.

I Combined the Blockchain and AI to Generate Art. Here’s What Happened Next.

TUTORIAL Using LLMs to create artistic representations of data Looking into the rainbow What would the blockchain look like if it could be visualized through imagery? The b

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Transforming Data into Solutions: Building a Smart App with Python and AI

Transforming Data into Solutions: Building a Smart App with Python and AI

Some financial analysts worry that artificial intelligence may not justify the massive investments being made in the field. While I understand their concerns, I see things differently. I’m neither

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Microsoft Open Sources MarkItDown: A Game-Changing Library for File-to-Text Conversion 🌐📊📚

Microsoft Open Sources MarkItDown: A Game-Changing Library for File-to-Text Conversion 🌐📊📚

A powerful, open-source tool that simplifies file processing and automates content extraction across PDFs, Word docs, images, audio and more. 📏🎓📦Professionals often face challenges

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Image Inference through Multi-Modal LLM Models

Image Inference through Multi-Modal LLM Models

MULTIMODAL AI | LLM | OPENAI | GEMINI | VISION This blog explores the capabilities of multi-modal models in image inference, highlighting their ability to integrate visual and text

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Llm Fine Tuning Guide: Do You Need It and How to Do It

Llm Fine Tuning Guide: Do You Need It and How to Do It

Working with LLMs, one of the most popular questions we get is about fine-tuning. Every second client asks if they should do additional training on their model. In most cases the answer is no, t

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Multi-Agent AI Architecture with Large Language Models (LLMs)

Multi-Agent AI Architecture with Large Language Models (LLMs)

End To End Multi-Agent Implementation With LLMs A multi-agent architecture consists of multiple autonomous agents collaborating to accomplish complex tasks. With the recent advancements in

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C++ RESTful web service with autogenerated MCP Server to connect with LLMs

C++ RESTful web service with autogenerated MCP Server to connect with LLMs

This is a 5-minute tutorial on how to add an MCP (Model Context Protocol) Server to your existing Oat++ application

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Claude Conversing With Neo4j Via MCP

Claude Conversing With Neo4j Via MCP

Give LLMs the Power of Knowledge Graphs With Anthropic’s Model Context Protocol Last week, Anthropic published a new [Model Context Protocol](https://www.anthropic.com/news/model-context-pro

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From Posts to Reports: Leveraging LLMs for Social Media Data Mining

From Posts to Reports: Leveraging LLMs for Social Media Data Mining

How to instruct LLMs to filter restaurant posts and extract critical insights for business growth. Application Overview We’re living in the golden age of automation, powered by the r

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Hands-on demo with building Agentic RAG (Retrieval-Augmented Generation) pipeline

Hands-on demo with building Agentic RAG (Retrieval-Augmented Generation) pipeline

Illustration to see how autonomous agents can be involved in the RAG system to retrieve the most relevant piece of information What is Agentic RAG? So, we all know what Retrieval Augmented G

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How I Fix Prompts for Flawless AI Responses Every Time

How I Fix Prompts for Flawless AI Responses Every Time

When ChatGPT first launched, prompt templates for nearly every industry and profession flooded the internet. You’ve probably come across posts like “The Best [N] ChatGPT Prompts for [Sector/Pr

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How to Build a Proactive Agent with Real-Time Event Processing

How to Build a Proactive Agent with Real-Time Event Processing

Discover how combining streaming databases and LLMs can create agents that act before you even ask. Q&A agents powered by large language models (LLMs), like ChatGPT, have already become a

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MarkItDown: A Powerful and must-have Toolkit for LLMs projects, tested with OpenAI and Gemini 2.0

MarkItDown: A Powerful and must-have Toolkit for LLMs projects, tested with OpenAI and Gemini 2.0

*MarkItDown is a versatile utility developed by Microsoft that transforms various file formats into Markdown, making it an essential tool for developers working with Large Language Models (LLMs).

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AutoGen: An Agentic Open-Source Framework for Intelligent Automation

AutoGen: An Agentic Open-Source Framework for Intelligent Automation

AutoGen is an open-source framework from Microsoft for building agents that can collaborate through converstaional patterns to accomplish tasks. AutoGen streamlines AI development and research, e

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Building a Research Agent That Can Write to Google Docs (Part 1)

Building a Research Agent That Can Write to Google Docs (Part 1)

A tool that might help with your homework ***This article is the first of a two part series where we use LangGraph and Tavily to build a simple research agent, which writes and refines sho

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LLM Agents: Multi-Agent Chats with Autogen

LLM Agents: Multi-Agent Chats with Autogen

An agent is a Large Language Models customized with a system prompt so that it behaves in a specific way. The prompt typically details task types, expected task solution behavior, and constraint

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From Knowledge to Action: Why Domain-Specific LLMs Need Agentic AI?

From Knowledge to Action: Why Domain-Specific LLMs Need Agentic AI?

In the ever-evolving landscape of artificial intelligence, two powerful forces are shaping the future: Domain-Specific Large Language Models (LLMs) and Agentic AI. While each brings re

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Google Gemini-Exp-1206: The new Best LLM

Google Gemini-Exp-1206: The new Best LLM

Beats GPT-4.0, OpenAI-o1, Claude3.5 Sonnet and Gemini 1.5 on LMArena Google Gemini, after a lacklustre debut in the GenAI space some months back, is picking up pace quite fast. It has

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Optimizing Workflow Efficiency with LangGraph and Agents: Key Features, Use Cases, and Integration…

Optimizing Workflow Efficiency with LangGraph and Agents: Key Features, Use Cases, and Integration…

In the context of Generative AI and large language models (LLMs), agents and LangGraph are tools and frameworks that enhance the functionality of LLMs by allowing them to perform tasks,

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MCP by Anthropic Will Blow Your Mind

MCP by Anthropic Will Blow Your Mind

Trust me this is not a clickbait, MCP will revolutionize AI Interactions AI technology is growing really fast. You might be waiting for the latest models like GPT-5, Gemini 2 or Claude 4 but

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Are You Ready for the Future of AI? OpenAI’s Swarm Could Change Everything

Are You Ready for the Future of AI? OpenAI’s Swarm Could Change Everything

Learn how to configure and personalize OpenAI’s Swarm framework to create powerful, collaborative multi-agent systems that meet your unique needs and drive smarter automation Imagine a wo

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A multi-agentic way of implementing complex LLM applications using LangGraph framework

A multi-agentic way of implementing complex LLM applications using LangGraph framework

Add LangGraph to your repertoire of GenAI related skills. This one skill can straightaway enable you to create complex AI systems today. The pre-requisite of course is to have an understanding

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Building AI Agents to Automate Enterprise-Level Software Development: A Practical Perspective

Building AI Agents to Automate Enterprise-Level Software Development: A Practical Perspective

Randy Zhang and Shamin Aggarwal Agentic AI is a software application that is based on Large Language Models (LLMs) to automate tasks by simulating human-like reasoning and decision-making. It h

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Hands-on : Build Agentic Workflow using LangGraph (Key Learnings from Langchain-academy) | Part-1

Hands-on : Build Agentic Workflow using LangGraph (Key Learnings from Langchain-academy) | Part-1

Introduction Langchain has recently introduced an impressive course focusing on LangGraph and its key features for developing robus

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LazyGraphRAG: A New Era of Efficient and Effective RAG | by Ankush k Singal | Nov, 2024 | Medium

LazyGraphRAG: A New Era of Efficient and Effective RAG | by Ankush k Singal | Nov, 2024 | Medium

Introduction In the realm of artificial intelligence, Retrieval Augmented Generation (RAG) has emerged as a powerful technique to enhance the capabilities of large language models (LLMs). RAG e

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Design Considerations of Advanced Agentic AI for Real world Applications

Design Considerations of Advanced Agentic AI for Real world Applications

F𝚛𝚘𝚖 𝙲𝚕𝚊𝚜𝚜 𝚋𝚊𝚜𝚎𝚍 𝙰𝚐𝚎𝚗𝚝𝚜 𝚝𝚘 𝚕𝚊𝚗g𝚌𝚑𝚊𝚒𝚗 𝙰𝚐𝚎𝚗𝚝s As Artificial Intelligence (AI) systems evolve, the concept of Agentic AI — where AI systems are composed of

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LangGraph for Healthcare: A Comprehensive Technical Guide

LangGraph for Healthcare: A Comprehensive Technical Guide

Building Production-Ready Medical Operations Agents Introduction to LangGraph ![](https://wsrv.nl/?url=https://cdn-images-1.readmedium.com/v2/resize:fit:800/1*pU-o_h5GKwMSHi5Y0Y9Kwg.

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Leveraging Large Language Models (LLMs) in B2C Industries: Transforming Customer Experience with…

Leveraging Large Language Models (LLMs) in B2C Industries: Transforming Customer Experience with…

In the rapidly evolving landscape of B2C industries such as financial services, retail, and eCommerce, customer expectations for personalized and instant responses are at an all-time high. With

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Building Intelligent Test Automation with Gen AI (OpenAI APIs)

Building Intelligent Test Automation with Gen AI (OpenAI APIs)

We all know that UI Tests are super fragile. They can break for all sorts of reasons, and one of the biggest culprits is changes to the UI locators. It’s hard to imagine how we can make them sm

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Overcoming LLM Challenges in Healthcare: Practical Strategies for Development in Production

Overcoming LLM Challenges in Healthcare: Practical Strategies for Development in Production

Generative AI An article on the most common LLM development challenges I’ve encountered, effective mitigation strategies, and a career-defining interview mistake Introduction I’v

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LongRAG: Giving AI a Bigger Net to Catch More Fish in the Sea of Information

LongRAG: Giving AI a Bigger Net to Catch More Fish in the Sea of Information

In my previous article, I introduced whether RAG would become obsolete due to long-context LLMs. Today, let’

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A practical guide for using AutoGen in software applications

A practical guide for using AutoGen in software applications

Update: While this article was written only 4 months ago, AutoGen has since changed quite a bit. I apologize for some things that may be outdated in my code examples. If you want to learn abo

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Generating structured data from an image with GPT vision and Langchain

Generating structured data from an image with GPT vision and Langchain

In today’s world, where visual data is abundant, the ability to extract meaningful information from images is becoming increasingly valuable. Langchain, a powerful framework for building applica

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