Back

The next compute revolution isn’t silicon. It’s simulation. Synthetic data is the new GPU - and it’s changing how AI learns forever. Read Part 1 of our Simulation-First Thought Series (Vol. II) https://medium.com/@Srinath-N3XLabs/synthetic-data-is-t

Food for thought. Instead of building AI models/agents/RAGs, why not build for AI. There is a dearth of auxiliary products and services for AI development such as benchmarking, training environments, data cleaning, synthetic data generation etc. But

Will AI hit a wall? 🤔 Future advanced models need complex data—but is there enough available? Or are we running out of high-quality training data? What’s the solution? More synthetic data? Better datasets? Discuss! ⬇️

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

ExcelR offers comprehensive Data Analytics Training in Pune, covering Excel, SQL, Python, R, Power BI, and Tableau. Gain hands-on experience with real-world datasets, industry-relevant projects, and expert-led training. Ideal for beginners and profes

Random Thought : I was wondering, why ChatGPT weren't build on the Increment Learning modle.. Because I might destroy it's algo.... Let me expain.. In the world of machine learning, training models can be approached in two main ways, Batch Lea

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-

Meta has released Llama 3.1, the first frontier-level open source AI model, with features such as expanded context length to 128K, support for eight languages, and the introduction of Llama 3.1 405B. The model offers flexibility and control, enabli

DeepSeek just shook the AI world—and NVIDIA felt it. A single company wiped 17% off NVIDIA’s market cap—that’s $600B (~₹48,00,000 Cr)gone overnight. For perspective, that’s: - More than the combined value of TCS, Reliance, and HDFC Bank - Bigge

"We’re not simulating for fun anymore." Every round fired in a game, every decision made under chaos - it’s all data. Data that can teach real-world AI how to think, move, and react like us. This isn’t science fiction anymore. It’s the beginning of