Tags: machine-learning
All the articles with the tag "machine-learning".
ChatGPT is not an LLM - GPT is
Updated: at 04:22 PMUnderstanding the crucial distinction between ChatGPT as an agent and GPT as a Large Language Model - why this difference matters for AI development and user expectations.
Agentic RAG and Context Engineering for Agents
Updated: at 04:22 PMExploring how Agentic RAG transforms traditional retrieval-augmented generation into a dynamic, intelligent system that actively manages context for autonomous agents, enabling more sophisticated reasoning and decision-making capabilities.
Memory-Based Agent Learning - The Path to Truly Autonomous AI
Updated: at 03:30 PMExploring how memory-augmented AI agents like Memento are revolutionizing autonomous learning without requiring expensive model fine-tuning, marking the first steps toward truly self-evolving AI systems.
Building Multi-Agent Research Systems
Updated: at 11:00 AMTechnical deep-dive into building production-ready multi-agent research systems, covering architectural patterns, prompt engineering strategies, evaluation methodologies, and hard-won lessons from scaling AI agents in production.
Claude 4 Prompt Engineering Best Practices
Updated: at 04:22 PMTechnical deep-dive into Claude 4 prompt engineering: architectural improvements, instruction-following optimization, metacognitive processing, parallel execution, and systematic methodologies for production AI deployments.
Move 37 and Agents
Updated: at 10:00 AMExploring the significance of AlphaGo's Move 37 and its implications for the future of AI agents, highlighting how unexpected innovations in artificial intelligence could revolutionize problem-solving across various domains.
DeepSeek R1 - Rewriting the Rules of AI Training
Updated: at 10:00 AMDiscover how DeepSeek R1 shattered AI training conventions by achieving 71% accuracy on AIME with zero supervised data. This breakthrough reveals how pure reinforcement learning spontaneously develops advanced reasoning, potentially eliminating massive data requirements and democratizing AI development. Essential reading for ML engineers and AI researchers seeking the next evolution in model training techniques.
Sequence to Sequence Learning - A Decade of Neural Networks
Updated: at 03:22 PMAn exploration of Ilya Sutskever's reflections on a decade of progress in sequence-to-sequence learning, examining the evolution of neural networks and their implications for the future of AI development.
Chain of Thought Reasoning in Large Language Models
Updated: at 03:22 PMA comprehensive exploration of Chain of Thought (CoT) reasoning in LLMs, covering its theoretical foundations, implementation techniques, research developments, and practical applications in enhancing AI's problem-solving capabilities.
Autonomous vs Controlled AI Agents- Which Architecture Should You Choose?
Updated: at 04:22 PMAn in-depth comparison of autonomous and controlled AI agents, exploring the trade-offs between Lang Graph-based controlled agents and Crew AI-powered autonomous agents, with practical insights for choosing the right approach for different use cases.