Entrepreneur | Build...ย โขย 6m
Hiring AI/ML Engineer ๐ Join us to shape the future of AI. Work hands-on with LLMs, transformers, and cutting-edge architectures. Drive breakthroughs in model training, fine-tuning, and deployment that directly influence product and research outcomes. ๐ Expertise: Model training โข LLM fine-tuning โข Deployment & optimization ๐ You: Strong ML/DL fundamentals โข PyTorch/TensorFlow โข Projects/GitHub that show your craft If building impactful AI from the ground up excites you, letโs talk. ๐ฉ Apply โ nikhil@flique.app / DM.
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GITAMย โขย 1y
Fine-Tuning: The Secret Sauce of AI Magic! Ever wonder how AI gets so smart? Itโs all about fine-tuning! Imagine a pre-trained model as a genius with general knowledge. ๐ง โจ Fine-tuning takes that genius and hones its skills for a specific task, li
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#freelancerย โขย 7m
The โEntry-Levelโ AI Engineer Job Description of 2025 ๐จ HR today: > โWeโre looking for someone who knows Python, OOP, NumPy, Pandas, SQL, Advanced Excel, Power BI, ALL ML/DL models, every AWS service, LangChain, Docker, Kubernetes, LLM fine-tuning
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My Favorite AI & ML Books That Shaped My Learning Over the years, Iโve read tons of books in AI, ML, and LLMs โ but these are the ones that stuck with me the most. Each book on this list taught me something new about building, scaling, and underst
See MoreAI Deep Explorer | f...ย โขย 1y
"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 1๏ธโฃ Fin
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Design & Development...ย โขย 6m
Weโre Hiring โ Backend & AI/ML Engineers Weโre assembling a core team to build something ambitious from the ground up. Looking for passionate people who love solving tough problems and creating from scratch. Backend Engineer (Python/FastAPI/Node.js
See More| Technologist | ML ...ย โขย 1y
Machine Learning vs. Deep Learning: Whatโs the Real Difference? ๐คโก Machine Learning (ML) and Deep Learning (DL) are both AI-driven, but theyโre not the same! While ML relies on algorithms to learn from data, DL uses artificial neural networks to pr
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