Analytics Vidhya
Analytics Vidhya

Analytics Vidhya

Vasu Deo Sankrityayan writes about artificial intelligence and machine learning. He covers topics like building AI voice apps, structuring Claude projects, and engineering deep agents.

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The original headline is: "Grok Build CLI vs Claude Code: A head-to-head comparison on real-world coding tasks"

The original headline is: "Grok Build CLI vs Claude Code: A head-to-head comparison on real-world coding tasks"

15h

The original title is: "Prompt Compression Techniques: How to Reduce LLM Costs Without Losing Important Context"

The original title is: "Prompt Compression Techniques: How to Reduce LLM Costs Without Losing Important Context"

1d

The original headline is "Gemini 3.6 Flash Is Here: The Efficiency Release" — it has a colon, which violates the rules. Let me rewrite it.

The original headline is "Gemini 3.6 Flash Is Here: The Efficiency Release" — it has a colon, which violates the rules. Let me rewrite it.

2d

Agentic AI differs from AI automation in production systems

Agentic AI differs from AI automation in production systems

3d

Complete Guide to Thinking Machines Inkling

Complete Guide to Thinking Machines Inkling

4d

The original title is "10 Trending GitHub AI Agent Repositories — July 2026"

The original title is "10 Trending GitHub AI Agent Repositories — July 2026"

5d

Connect MCP servers to Claude Desktop and Claude Code

Connect MCP servers to Claude Desktop and Claude Code

7d

The original title is "GPT-5.6 Sol vs Claude Fable 5: Benchmarks, Pricing & Hands-On"

The original title is "GPT-5.6 Sol vs Claude Fable 5: Benchmarks, Pricing & Hands-On"

8d

What is Meta Prompting and How does it work?

What is Meta Prompting and How does it work?

10d

The original title is: "How to Measure Video Similarity: 6 Techniques I Tested (and the One I Shipped)"

The original title is: "How to Measure Video Similarity: 6 Techniques I Tested (and the One I Shipped)"

11d

The original title is "Handling Imbalanced Classification: What Works Better Than SMOTE"

The original title is "Handling Imbalanced Classification: What Works Better Than SMOTE"

12d

The original title is "RAG Evaluation Frameworks Compared: RAGAS vs TruLens vs DeepEval"

The original title is "RAG Evaluation Frameworks Compared: RAGAS vs TruLens vs DeepEval"

13d

The original title is about "Loop Engineering" and persistent AI agents for repeated workflow tasks. Let me rewrite this for a mobile feed.

The original title is about "Loop Engineering" and persistent AI agents for repeated workflow tasks. Let me rewrite this for a mobile feed.

15d

DeepSeek DSpark: Speculative Decoding Boosts DeepSeek-V4 Generation Speed by 60-85%

DeepSeek DSpark: Speculative Decoding Boosts DeepSeek-V4 Generation Speed by 60-85%

16d

OKF: Redefining Knowledge Bases for AI Agents

OKF: Redefining Knowledge Bases for AI Agents

17d

The original title is "Modern VLMs Explained: How GPT-4o, Gemini, Claude Vision, and Qwen-VL Work"

The original title is "Modern VLMs Explained: How GPT-4o, Gemini, Claude Vision, and Qwen-VL Work"

19d

The original title is "YOLO26 Tutorial: Object Detection, Pose Estimation & More"

The original title is "YOLO26 Tutorial: Object Detection, Pose Estimation & More"

20d

The original title is "Large Action Models (LAMs) vs Agentic LLMs: What's the Real Difference?"

The original title is "Large Action Models (LAMs) vs Agentic LLMs: What's the Real Difference?"

21d

Claude Sonnet 5: The Fable 5 at Home

Claude Sonnet 5: The Fable 5 at Home

24d

Comparing ChatGPT Plus, Claude Pro, and Gemini Pro at $20/month

Comparing ChatGPT Plus, Claude Pro, and Gemini Pro at $20/month

24d

The original title is "GraphRAG vs Vector RAG: Which Retrieval Method is Best?"

The original title is "GraphRAG vs Vector RAG: Which Retrieval Method is Best?"

26d

Using AI When You Don’t Trust AI

Using AI When You Don’t Trust AI

28d

The Self-Improving Loop in AI Agents: Architecture, Benefits, and How it Outperforms Traditional Agent Workflows

The Self-Improving Loop in AI Agents: Architecture, Benefits, and How it Outperforms Traditional Agent Workflows

29d

Harness-1: 20B Retrieval Subagent Simplifies Search Agent Architecture

Harness-1: 20B Retrieval Subagent Simplifies Search Agent Architecture

30d