AI Pioneerย โขย 5m
"Synthetic Data" is used in AI and LLM training !! โข cheap โข easy to produce โข 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 are data hungry) ๐ง
Early Stage VCย โขย 4m
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
See MoreMapping AI to Use-ca...ย โขย 1y
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
See MoreHey I am on Medialย โขย 2d
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
See MoreDo not try, just do ...ย โขย 1y
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
See MorePython Developer ๐ป ...ย โขย 4m
3B LLM outperforms 405B LLM ๐คฏ Similarly, a 7B LLM outperforms OpenAI o1 & DeepSeek-R1 ๐คฏ ๐คฏ 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-
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IIITKottayamย โขย 5m
DeepSeek just shook the AI worldโand NVIDIA felt it. A single company wiped 17% off NVIDIAโs market capโthatโs $600B (~โน48,00,000 Cr)gone overnight. For perspective, thatโs: - More than the combined value of TCS, Reliance, and HDFC Bank - Bigge
See MoreKeen Learner and Exp...ย โขย 7m
Remember 2016's Pokemon Go craze? well congratulations you have contributed significantly in training Niantic's LGM AI model. This data collected from millions of users help robots and devices to navigate and interact with the physical world. Moral
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