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I'm building a single platform that will give access to all major LLMs with a single API key. So, developers don't have to juggle between SDKs, make new accounts and pay to every provider to get the best foundational models.

this is why open source wins. closed models are only gonna get more restrictive over time.

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

Announced today, we are collaborating as a launch partner with @Google in delivering Gemma, an optimized series of models that gives users the ability to develop with #LLMs using only a desktop #RTX GPU.

My Favorite AI & ML Books That Shaped My Learning Over the years, I’ve read tons of books in AI, ML, and LLMs — but these are the ones that stuck with me the most. Each book on this list taught me something new about building, scaling, and underst

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

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

Google has launched the Gemini mobile app in India, will you prefer using an app or web app?

In a recent educational lecture, Andrej Karpathy, one of the creators of ChatGPT, provides an introduction to Large Language Models (LLMs). LLMs are advanced technologies that can process and generate human-like text. Karpathy highlights the fut

hey i am gen ai developer having knowledge in making gen ai applications using llms. And also making ai agents reply if any internship roles are available