Full Stack Web Devel... • 5d
Agentic AI—systems that act autonomously, are context-aware and learn in real time—paired with small language models (SLMs) enables efficient, specialized automation. SLMs are lightweight, fast, fine-tunable for niche domains and accessible to smaller teams. Together they improve decision-making (e.g., autonomous patient monitoring, treatment suggestions; trading, risk assessment; supply-chain optimization) and power autonomous customer support that assesses, responds and escalates. Key risks: training-data bias, limited knowledge breadth of smaller models and ethical/accountability gaps. Responsible, transparent deployment and domain-specific fine-tuning are essential.
Turning dreams into ... • 10m
India should focus on fine-tuning existing AI models and building applications rather than investing heavily in foundational models or AI chips, says Groq CEO Jonathan Ross. Is this the right strategy for India to lead in AI innovation? Thoughts?
AI/ML enthusiast • 9m
i made an AI News Aggregator in a hackathon one month ago posting it here now. An autonomous AI agent that crawls, summarizes, and publishes news articles. Overview The AI News Aggregator is designed to autonomously gather news articles from variou
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Software Engineer | ... • 1y
💡 5 Things You Need to Master for learn for integrating AI into your project 1️⃣ Retrieval-Augmented Generation (RAG): Combine search with AI for precise and context-aware outputs. 2️⃣ Vector Databases: Learn how to store and query embeddings for e
See MoreAI Deep Explorer | f... • 9m
"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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