Back

10+ State of the art llms 2+ Compound llms (latest in the market) Which models you want next? btw check the reply for the app

Perplexity CEO ready to invest $1m into Indians who can develop SOTA foundation models and $10m more if it can beat DeepSeek R1 benchmarks.

They gave u a paper, told u its real money, and they can ban it any moment. They force you to use bank accounts, you can't keep that paper with u, which they can block n freeze. Is this fair ?

Unravel the mysteries of Large Language Models! Discover the top 10 essential terms every beginner should know. 🔑 Unlock the secrets of AI language processing and generation. 📚 Read now and stay ahead of the curve! 🚀 #LLMs #ArtificialIntelligen

*Nandan Nilekani wrong about pushing India to ignore model training skills*: Perplexity CEO Arvind Srinivasan According to Arvind “*India should know how to build models and that too possible in low cost*” It would be amazing *if some team could d

Hi any body using foundational models (llms) in development if you doing so are you using closed like gpt or Gemini for opensource models if you are using closed source why only that because you can save money by using opensource with low parameter m

We Indians are busy in asking questions with astro talk ! Wheres our technology is heading to , china and usa building future ai models . Its seriously important to us to think about the usage of technology

The Next AI Battleground? Open-Source LLMs Are Gaining Fast GPT-4 may still lead the pack — but the real action is now in open-source LLMs, and the gap is closing *faster than anyone expected In just 3 months: - Mistral’s Mixtral matched GPT-3.5 on

The best way to learn about LLMs is to read the actual papers that highlight the fundamental ideas behinds LLMs. I'd prob first start off by learning about the attention mechanism which can be detailed in the following paper and try to implement a

🔍 Understanding How Language Models Think – One Circuit at a Time "Circuit Tracing: Revealing Computational Graphs in Language Models" by Anthropic ↳introduces a method to uncover how LLMs process and generate responses by constructing graph-bas