Back

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

𝗢𝗽𝗲𝗻𝗔𝗜’𝘀 𝘀𝘁𝗼𝗿𝘆: • Founded in 2015 • Released GPT-1 in 2018, no one cared • Released GPT-2 in 2019, no one cared • Released GPT-3 in 2020, no one cared • Released GPT-3.5 in 2022 and shook the internet • 10 years in, valued at $350

"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

" Most of the AI tools are just AI wrappers " Under the hood is just : Open AI Chat GPT Claude Gemini Llama Or just any other LLM, What your AI app uses from one of these ?

We as an Indan adopt things very fast, we are the largest user of Chat GPT outside USA !! And also at many other things !!

3B LLM outperforms 405B LLM 🤯 Similarly, a 7B LLM outperforms OpenAI o1 & DeepSeek-R1 🤯 🤯 LLM: llama 3 Datasets: MATH-500 & AIME-2024 This has done on research with compute optimal Test-Time Scaling (TTS). Recently, OpenAI o1 shows that Test-

Gemini used to be the most poorly integrated LLM Now Gemini Gems are showing up in Docs & Sheets Crazy how fast google 's AI products have improved!

Al - An Indian API - A person in India LLM - Low-cost Labour in Mumbai AGI - A Genius Indian GPT - Gujarati Professional Typist

Marriages may happen in 10 minutes, groceries may arrive in 10 minutes… but the best flight deals? That takes a little longer. 😉 At Nomadiq, we don’t promise speed — we promise savings. Because finding the lowest ticket price is worth the wait. ✈️ #