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You Should Not Build Because Of Sparks Of Motivation Now And Then. You Should Build it Because It Is Solving A Problem.

Hugging Face AI Sheets now you can build, enrich & transform datasets with LLMs using a free, open-source, no-code sheet interface. Try it instantly in-browser or deploy locally for full privacy. Prompt, compare, refine no coding needed.

Thinking of building an app offering private LLMs with data processing all locally on the phone ----> No risk of data theft for a single monthly subscription You get 20+ LLMs, unlimited usage Is there a Market for it?

ChatGPT now offers direct image generation! You can now create images directly within ChatGPT, powered by the impressive DALL-E 3. Just describe what you want, and even make adjustments through text prompts. However, note that only two image genera

Hello all! I need some insights… My business idea is to create a game app (somewhat similar to Duolingo) for mathematics with a storyline. Like when you enter the app, you become the main character in a story and you need to use math to clear level

OpenAI spent millions if not billions developing and training LLMs. Same is for Google, Microsoft and Meta.. the only difference being they are releasing their LLMs now after the craze of AI is at its peak. But I don't understand how companies like K

*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

Are there any data scientists here? What new ways are you using large language models (LLMs) in your everyday tasks? Do you think we should include LLM topics in data science courses? If so, what should we focus on teaching? For example: - The bas

10+ llms 2 Compound llms (latest tech) 1500 messages per month for just 5.99$ What is stopping you 😂