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AI Model Performance Benchmarks: 🚀 Comparing Claude, GPT-4o, and Gemini Across Key Tasks with Claude 3.5 Sonnet performing best overall, especially in code (93.7%) and reasoning (65.0%). Gemini 1.5 Pro excels in math (86.5% with 4-shot CoT). GPT-

Anthropic just released Claude Opus 4.6. Here’s what’s new: 1) Smarter problem solving. It tackles complex tasks efficiently and doesn’t waste compute on simple ones. 2) 1M token context window. Enough to hold roughly 10 full novels in one session

Most people don't even know these basics of LLM's. I've explained it in a simple way below. 1. 𝗗𝗮𝘁𝗮 𝗖𝗼𝗹𝗹𝗲𝗰𝘁𝗶𝗼𝗻 LLMs are trained on massive amounts of text from books, websites, articles, and documents so they can learn how language is

🚀 How to Save 90% on Your AI Costs Here’s exactly how we cut AI costs from $500/month to $5/month: 1. Avoid LLMs When Possible Use rules, regex, or database lookups for simple tasks (60–80% of workflows). Example: A lead qualification bot using rege

𝗜 𝗰𝗮𝗻 𝗱𝗼 𝗺𝘂𝗹𝘁𝗶𝘁𝗮𝘀𝗸𝗶𝗻𝗴 — 𝗰𝗮𝗻 𝘆𝗼𝘂? Initially, it may seem difficult, but as we know, everything becomes easier with practice. God has given us such a beautiful mind that it can adapt to any environment or habit, depending on h

BharatGPT Speech Model for Multilingual Users | AIGuts The Indian LLM BharatGPT is a groundbreaking AI model built to make artificial intelligence more inclusive and accessible across the country. Designed to understand and respond in multiple India

WHERE IS JIO BHARAT 5G? Back in January last year, there was a buzz that Jio was gearing up to launch a budget smartphone sometime between April 25 and June 25. People got really excited, the phone was rumored to come with a 4500mAh battery, and the

3 ways AI systems are deployed today. I’ve explained each method below in simple steps. 1.) 𝗖𝗹𝗼𝘂𝗱 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁 (𝘀𝘁𝗲𝗽-𝗯𝘆-𝘀𝘁𝗲𝗽) 𝗙𝗹𝗼𝘄: • 𝗨𝘀𝗲𝗿 𝘀𝘂𝗯𝗺𝗶𝘁𝘀 𝗿𝗲𝗾𝘂𝗲𝘀𝘁 - User types a query or command. • 𝗖𝗹𝗼𝘂𝗱 𝗿

Top 10 AI Research Papers Since 2015 🧠 1. Attention Is All You Need (Vaswani et al., 2017) Impact: Introduced the Transformer architecture, revolutionizing natural language processing (NLP). Key contribution: Attention mechanism, enabling models