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Chirotpal Das

Building an AI eco-s... • 6m

🤔 𝐎𝐩𝐞𝐧𝐀𝐈 𝐨𝟏 - 𝐢𝐬 𝐢𝐭 𝐦𝐨𝐫𝐞 𝐛𝐢𝐠𝐠𝐞𝐫 𝐨𝐫 𝐦𝐨𝐫𝐞 𝐟𝐢𝐧𝐞-𝐭𝐮𝐧𝐞𝐝? We're all excited about OpenAI's o1 model and many other such bigger models, but here's what keeps me up at night: Are we witnessing a genuinely larger, more a

Tanuj Sharma

Python Developer | A... • 6m

Hi, It is trained on more bigger dataset and with more gpu hours so its not fine tuned on earlier versions, its trained with more parameters than the earliest versions, if you have heard its training cost is around 50-100M $, while if you see thier latest offering o3, its training cost till now around 1-1.4B $, while training cost for chat gpt initial version was only around ~10M $, but as per the latest rumours if you heard they already have exhausted all available data on internet in training thier models till now, so future mai its going to be very hard for them to train their models on new data, then it would be mostly fine tuning on older versions with synthetic datasets.

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Kimiko

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X updates its developer agreement to ban third parties from using the X API or X Content for training or fine-tuning foundation or frontier AI models.

Varun reddy
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Fine-Tuning: The Secret Sauce of AI Magic! Ever wonder how AI gets so smart? It’s all about fine-tuning! Imagine a pre-trained model as a genius with general knowledge. 🧠✨ Fine-tuning takes that genius and hones its skills for a specific task, li

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LIVE on MEDIAL - APPLE yearly mega launch is here. Tune to find out everything about the latest of new versions of iPhone MacBooks watches and more. Get the experience of an Apple launch event.

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Ayush
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one of the best articles that I read on deepseek and it's affect on the nvidia stock, it explains in details of how the models is trained and fine tuned to have such strong logical thinking.

Animesh Kumar Singh

Hey I am on Medial • 5d

The "AI Personality Forge: Product :"Cognate" Cognate is not an AI assistant. It's a platform on your phone or computer that lets you forge, train, and deploy dozens of tiny, specialized AI "personalities" for specific tasks in seconds. How it wo

Will pay 20$ for this

NA not that good idea

Will pay 50$ ,with addons

Votes: 7

1 Reply

AI Engineer

AI Deep Explorer | f... • 3m

"A Survey on Post-Training of Large Language Models" This paper systematically categorizes post-training into five major paradigms: 1. Fine-Tuning 2. Alignment 3. Reasoning Enhancement 4. Efficiency Optimization 5. Integration & Adaptation 1️⃣ Fin

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Anonymous
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JSW • 5m

I have an idea to build Indian alternative to Scale ai, mechanical turk for outsourcing data labeling work for AI training. Focusing on dataset creation on Indian context. IMO this is a necessity rn as most AI models are trained on western data sou

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Kimiko

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India's biggest AI startup, $1B Sarvam, just launched its flagship LLM. It's a 24B Mistral small post trained on Indic data with a mere 23 downloads 2 days after launch. In contrast, 2 Korean college trained an open-source model that did ~200k last

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