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LanceDB Vector Database Guide: Features, Python Demo

Mounish V — Sat, 01 Aug 2026 10:41:05 +0000

Large language models understand text well, but they become less effective when information is scattered across documents or mixed with images and other media. Modern AI systems rely on vector databases, which store embeddings and enable similarity search across collections. LanceDB is a vector database built for AI workloads, with native support for multimodal data […]

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July 2026 AI Releases: A Timeline of Frontier Model Shifts

Vasu Deo Sankrityayan — Fri, 31 Jul 2026 09:01:01 +0000

July 2026 was the busiest month for frontier model releases the field has seen. Four major labs shipped flagship or near-flagship models, two well funded newcomers shipped their first, and the largest open weight model ever published went up for download, all inside thirty one days. Read as a list, the top AI models in July […]

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Claude Code CLI Commands I Wish I Had Known Sooner

Sree Vamsi — Thu, 30 Jul 2026 18:25:00 +0000

I used Claude Code daily for months before realizing that claude --help hides many of its most useful capabilities. I kept restarting fresh sessions, repeatedly explaining the same project structure, simply because I did not know a better workflow existed. While debugging an unrelated issue, I discovered the full CLI reference: dozens of commands and […]

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How to Create Custom Skills in Claude: A Step-by-Step Guide

Janvi Kumari — Wed, 29 Jul 2026 13:49:28 +0000

Claude can review data, check code, write reports, and prepare presentations, but teams still end up repeating the same structure, validation rules, company standards, and final-check instructions in every conversation. That repetition wastes time and often leads to inconsistent results. Custom Skills solve this by packaging reusable instructions, workflows, templates, scripts, examples, and reference files […]

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Graph Engineering for AI Agents: Beyond the Single-Agent Loop

Harsh Mishra — Tue, 28 Jul 2026 06:03:41 +0000

AI-agent development has progressed through overlapping phases: prompt engineering, context engineering, tool use, autonomous loops, memory systems, and multi-agent coordination. A newer focus is graph engineering, which treats AI applications as explicitly designed workflows rather than a single autonomous agent. Graph engineering defines how agents, tools, deterministic functions, validators, data sources, and humans coordinate to […]

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Claude Opus 5: Near-Frontier Intelligence, On a Dial

Vasu Deo Sankrityayan — Mon, 27 Jul 2026 12:14:23 +0000

Anthropic has released Claude Opus 5. The fourth model in two months, if you are keeping count. Most people are not. This one matters more than the count suggests. Opus is the workhorse tier, the model that does the actual paid work, and it just got a step change rather than a bump. Anthropic’s own […]

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Cracking the Data Science Case Study Interview

Vipin Vashisth — Sun, 26 Jul 2026 07:28:00 +0000

Data science case study interviews are not just about writing code. They test how you think through a problem, analyze data, make decisions, and explain your approach in a way that solves a real business challenge. In this guide, you’ll learn a simple framework called SCOPE that you can use to approach almost any data […]

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A Complete Guide to AI Red-Teaming (With Garak Tutorial)

Akshay Rana — Sat, 25 Jul 2026 18:25:00 +0000

Earlier this year, an autonomous AI agent breached McKinsey’s internal AI platform using nothing more than an old SQL injection flaw. No credentials. No human guidance. Less than two hours. It reached production systems, exposing millions of chat messages and hundreds of thousands of files. AI security has changed, and traditional assumptions no longer hold. […]

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Grok Build CLI vs Claude Code: I Tested Both So You Don’t Have To

Sree Vamsi — Fri, 24 Jul 2026 14:25:40 +0000

For months, Claude Code has been the go to terminal coding agent for developers. Then Grok Build arrived in beta on May 14, 2026, giving developers a second serious option and raising a new question: which one actually performs better? I tested both agents on the same real world coding tasks using identical prompts to […]

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Prompt Compression Techniques: How to Reduce LLM Costs Without Losing Important Context

Janvi Kumari — Thu, 23 Jul 2026 12:16:21 +0000

Large language models often receive more information than they need. A prompt may include long instructions, retrieved documents, chat history, examples, and tool descriptions. This increases token usage, cost, and response time. It can also make important details harder for the model to identify. Prompt compression reduces the prompt while keeping the key meaning, instructions, […]

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