10 Amazing Visuals from Best-selling Books you can't miss: 1. Atomic Habits by James Clear

8 Lessons People Learn Too Late In Life...

The world's most powerful reasoning model, DeepSeek R1, with reasoning traces, is now on Perplexity, for supporting your daily deep web research! Enjoy! Limits will be increased during the day. Updates coming shortly.

The transformer architecture, explained. You may have heard about the transformer architecture: it resulted in momentous improvements in large language models (LLMs) and thus helped enable systems like ChatGPT. It also produced “emergent behavior” - capabilities of an AI model

Improve accuracy and relevance of AI-generated responses using RAG satyamsing.blogspot.com/2025/02/rag-fo…

This guy literally breaks down MCP and how to use it in under 18 minutes.

This guy literally shows how to design and build apps in just 30 minutes

What is MCP? Why is everyone talking about it? Let’s take a closer look. Model Context Protocol (MCP) is a new system introduced by Anthropic to make AI models more powerful.

This guy literally explains MCP and how to use it in under 15 minutes

Tech Bites: Optimized Inference Engines a Necessity of explodi... satyamsing.blogspot.com/2025/04/optimi…

Tech Bites: Resolving the Curse of Dimensionality satyamsing.blogspot.com/2025/03/resolv…

10 MCP, AI Agents, and RAG projects for AI Engineers (with code):

satyamsing.blogspot.com/2025/04/optimi…

Escape competition through authenticity … if you’re competing, it’s because you’re copying. No one can compete with you being you ! Naval

These guys break down what software engineering will feel like in 2027

One of the best videos that shows how to use agents for real life use cases by Greg. Compares Perplexity Labs with other tools in the market for financial analysis, social media marketing, creative direction, sales.

Most devs think LLM's are only good for producing text. But the real value prop of LLM's is turning raw text/data into structured, searchable objects. If you've never heard of structured outputs, now's your chance:

The best visual guide to LLMs you’ll ever see

SQL meets Semantic Search 🔥 Traditional databases don't understand natural language. Vector databases can't filter with precision. MindsDB's Knowledge Base Algebra solves this problem, and it's 100% open-source. Here's what makes it different: You can connect to 200+ data

What the fuck just happened 🤯 Stanford just made fine-tuning irrelevant with a single paper. It’s called Agentic Context Engineering (ACE) and it proves you can make models smarter without touching a single weight. Instead of retraining, ACE evolves the context itself. The