Fine Tuning LLM for Parsing and Serving Through Ollama
Author(s): Kaushik Holla Originally published on Towards AI. Source: By the Author Last week, I signed up for the Databricks conference happening in San Francisco, eager to explore new AI innovations. While reviewing the event schedule, one particular Lightning Talk by Mastercard …
How Meta Built Threads to Support 100 Million Signups in 5 Days
Author(s): Kalash Vasaniya Originally published on Towards AI. Generate your MCP server SpeakeasySource: From AI-Generated If you’re not a member but want to read this article, see this friend link here. Try here: https://www.speakeasy.com/ Like it or not, your API has a …
Experiment-Driven AI Development: Building the Plane While Flying
Author(s): Kris Naleszkiewicz Originally published on Towards AI. Remember when everyone was scrambling to build their first RAG-AI assistant? How many of you heard things like, “Just connect GPT-4 to our knowledge base, add some vector embeddings, and boom — contextual AI!” …
My Journey: Creating a Data Science with Python + GitHub
Author(s): Harshit Kandoi Originally published on Towards AI. “As an Engineering student, I panicked when recruiters asked for a portfolio until I built one that landed me interviews!” Photo by Anete Lūsiņa on Unsplash That moment of panic became real. In my …
The Unauthorized Experiment: How AI Secretly Infiltrated Reddit and Changed Users’ Minds
Author(s): MKWriteshere Originally published on Towards AI. Image Generated by Author Using Gpt-4o (Non-Member Link) What if you discovered that the online stranger who changed your deeply held opinion wasn’t a person at all? This alarming scenario became reality for thousands of …
Handling Imbalanced Datasets in Machine Learning: SMOTE, Oversampling & Undersampling Explained
Author(s): Abinaya Subramaniam Originally published on Towards AI. Imbalanced Datasets — Image by Author What are imbalanced Datasets? In many real-world classification problems, the number of samples in each class is not balanced. This is called an imbalanced dataset. For example, in …
How WhatsApp Handles 40 Billion Messages Per Day
Author(s): Kalash Vasaniya Originally published on Towards AI. Build to Prod: Secure, Scalable MCP Servers with DockerSource: From Generated using AI If you’re not a member but want to read this article, see this friend link here. The AI agent era is …
From Newton to Neural Networks: Why Hallucinations Remain Unsolvable
Author(s): MKWriteshere Originally published on Towards AI. The Mathematical Paradox at the Heart of AI’s Greatest ChallengeImage Generated by Author Using Gpt-4o When you marvel at a large language model’s capability, remember it rides on centuries-old mathematics. Newton’s discovery of the derivative …
The Ultimate Guide to the SQL WHERE Clause for Data Science
Author(s): Suraj Jha Originally published on Towards AI. Learn how to filter data efficiently in SQL with powerful techniques and real-world examples for data science.SQL Filtering Techniques for Data Science The WHERE clause is the part of the SELECT statement that is …
Unsupervised Learning Series #2: K-Means + K-Modes = K-Prototypes — Understanding How Data Type Defines Your Clustering Strategy
Author(s): SETIA BUDI SUMANDRA Originally published on Towards AI. When we step into the world of unsupervised learning, one of the first families of algorithms we meet is the K-Family — K-Means, K-Modes, and K-Prototypes.Each member of this family plays a unique …
🎲🎲 Quantifying Dependence — A Data Scientist’s Intro To Information Theory — Part 4/5: Mutual Information Fundamentals
Author(s): Eyal Kazin PhD Originally published on Towards AI. Gain an intuition into two-variable statistics as a prelude to understanding Mutual Information. Python code included. 🐍Generated using ChatGPT Mutual Information is the amount of “Aha!” you get about one thing by learning …
Enhance Your LLM Agents with BM25: Lightweight Retrieval That Works
Author(s): Syed Affan Originally published on Towards AI. Prerequisites Before diving in, you should have: Basic AI/ML understanding: concepts like language models, embeddings, and model inference. Software engineering skills: familiarity with Python, virtual environments, and package installation. Python libraries: comfort importing and …
Model Context Protocol and CrewAI: Scaling Enterprise AI with Standardized Context
Author(s): Samvardhan Singh Originally published on Towards AI. In a world drowning in data yet starved for insight, enterprises need a bridge to unite fragmented systems and empower AI to deliver real-time, actionable decisions. Access the story for free here. Imagine you’re …
AI Engineer’s Handbook to MCP Architecture
Author(s): Vatsal Saglani Originally published on Towards AI. Part 5: CLI, WebSocket, and Web UIBlog Header Generated by the Author In our previous posts, we built a complete MCP architecture: specialized servers for file and command operations, a minimal MCP Client hub …
AI Engineer’s Handbook to MCP Architecture
Author(s): Vatsal Saglani Originally published on Towards AI. Part 4: Abstracting the LLM Layer: Connecting Models to MCPBlog Header Generated by the Author In our previous post, we built a minimal MCP Client hub, a lightweight FastAPI service that discovers tools from …
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