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Varun reddy

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GITAM • 1y

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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AI Engineer

AI Deep Explorer | f... • 4m

"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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Udyamee

Baki sab thik ? • 1y

Jivi MedX outperformed other established LLMs such as OpenAI's GPT-4 and Google's Med-PaLM 2. Here are some of the key points about Jivi MedX: •Developed by JiviAI, a new startup founded in January 2024 by Ankur Jain. ( former BharatPe Chief Produ

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Gigaversity

Gigaversity.in • 2m

Manual data labeling is one of the biggest bottlenecks in building intelligent image classification systems — especially when the objects are rare, niche, or appear in very few examples. At Gigaversity, we recently faced this challenge while building

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Austin Johnson

Helping Artists Find... • 6m

Exposed: The Truth Behind Volkai – Is It Truly India Made AI? So, I recently dug into the buzz around Volkai, the AI company gaining fame as India’s very own innovation in the AI space. Everyone's been hyping it up for being completely built from

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Soumya

Developer • 8m

💡An Idea to Change the Game for AI Startups: Making AI Processing Faster, Cheaper, and Effortless Running AI models like ChatGPT, DALL·E, or AlphaCode is a computing monster—they need massive power to function, which makes them expensive to operate

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Swami Gadila

Founder of Friday AI • 1m

We just crossed 4,188+ users. But truth? That’s not the headline. Two of our core engineers left. They were good — they built with me. But when vision doesn’t align, you part ways. Not with anger. With clarity. Because this road needs more than tale

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16 Replies
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Gigaversity

Gigaversity.in • 23d

Overfitting, underfitting, and fitting — these aren't just technical terms, but critical checkpoints in every machine learning workflow. Understanding these concepts is key to evaluating model behavior, improving generalization, and building solutio

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Chirotpal Das

Building an AI eco-s... • 7m

🤔 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

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Shiva Bhattacharjee

Co-founder Navdyut • 16d

Hello everyone! 👋 This is my first post here I’m excited to introduce Navagni, the no-code AI fine-tuning platform from Navdyut AI. Just bring your data (drag-and-drop, any format), pick a model (like Llama or Mistral), and Navagni automatically fin

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