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TuringTalks

TuringTalks

Learn to build and deploy LLMs to production. 2-3 articles a week. 100% free.

Latest Posts

How Model Context Protocol Works

Oct 23, 2025

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10 min read

How Model Context Protocol Works

Discover how the Model Context Protocol (MCP) connects AI tools and data sources, making modern AI apps smarter, faster, and far easier to build.

Manish Shivanandhan
Manish Shivanandhan
How an AI Agent Works

Oct 20, 2025

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7 min read

How an AI Agent Works

Let’s learn how AI agents understands tasks, makes choices, and performs actions autonomously.

Strix: The Open-Source AI Agent for Security Testing

Oct 9, 2025

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8 min read

Strix: The Open-Source AI Agent for Security Testing

Strix is an open-source AI agent for security testing that finds and confirms real vulnerabilities in your app, helping you ship secure code faster.

Manish Shivanandhan
Manish Shivanandhan
OpenCode is Changing How Developers Build Software

Oct 7, 2025

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7 min read

OpenCode is Changing How Developers Build Software

OpenCode brings the power of large language models right into your terminal, making coding faster, smarter, and more human than ever before.

Cosine Similarity Explained: The Math Behind LLMs

Sep 10, 2025

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9 min read

Cosine Similarity Explained: The Math Behind LLMs

Cosine similarity measures the angle between vectors to compare meaning in text. This simple math powers LLMs, enabling search, recommendation systems, and semantic understanding.

How to Perform Sentence Similarity Check Using Sentence Transformers

Aug 28, 2025

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7 min read

How to Perform Sentence Similarity Check Using Sentence Transformers

Sentence similarity helps computers understand how close two sentences are in meaning. Let's learn how to do it using Sentence Transformers

Manish Shivanandhan
Manish Shivanandhan
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