Back

Will India be able to create it's own LLM?

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.

India should focus on fine-tuning existing AI models and building applications rather than investing heavily in foundational models or AI chips, says Groq CEO Jonathan Ross. Is this the right strategy for India to lead in AI innovation? Thoughts?

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

"Synthetic Data" is used in AI and LLM training !! • cheap • easy to produce • perfectly labelled data ~ derived from the real world data to replicate the properties and characteristics of the rela world data. It's used in training an LLM (LLMs

Looking for GenAI internship/full-time roles! At Zomato, I built GPT-4o ticket systems, LLM eval pipelines & OCR tools (cut ops time 85%). For fun personal projects, Fine-tuned Mistral 7B for persona chat, built ANPR & haptic gloves too Skilled in P

I built a startup from scratch using just AI tools!! Check it out! #ai #startup

𝗜 𝘀𝗽𝗲𝗻𝘁 𝟰+ 𝗵𝗼𝘂𝗿𝘀 𝗿𝗲𝘄𝗮𝘁𝗰𝗵𝗶𝗻𝗴 𝗞𝗮𝗿𝗽𝗮𝘁𝗵𝘆’𝘀 𝗬𝗖 𝗸𝗲𝘆𝗻𝗼𝘁𝗲. And I realized — we’ve been looking at LLMs the wrong way. They’re not just “AI models.” They’re a new kind of computer. • LLM = CPU • Context window = mem

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