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Discover essential datasets for your GenAI/LLMs project, covering pre-training, fine-tuning, evaluation, and more for effective AI research.
Agentic AI Planning Pattern, its use in strategic task execution, task decomposition approaches, and key frameworks like ReAct & ReWOO.
AI-generated Content often misclassifies human text, raising concerns like reliability and ethical implications, especially in academia and training data quality.
Agentic AI Tool Use Pattern empowers AI models to interact with external tools, enhancing efficiency, flexibility & real-time problem-solving
LLMs struggle with Complex Reasoning, particularly in multi-step tasks. This research highlights their limitations in GSM & more.
Agentic AI Reflection Pattern improves AI systems through iterative self-assessment, refining outputs for enhanced accuracy & more.
Discover 4 essential Agentic Design Patterns—Reflection, Tool Use, Planning, and Multi-Agent Collaboration—that enhance AI system. Read Now!
Discover the thoughts of top leaders like Bill Gates and Andrew Ng on the revolutionary concept of Agentic AI.
How to use OpenAI's GPT-4o and other function calling LLMs to provide real-time, accurate responses and dynamic responses. Read Now!
Learn how LLM parameters shape the text generated by AI models like GPT-4o. Uncover the 7 essential generation parameters that drive creativity.
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