Master Generative AI with 10+ Real-world Projects in 2025!
Discover SnapSynapse: AI-powered customer call analysis using advanced tools for insights and sentiment trends.
Explore Autogen's chat feature and learn to build a multi-agent nested chat structure and initiate complex conversations among AI agents.
Flax, a high-performance neural network library built on JAX, offering flexibility, modular design, and seamless optimization for research.
Explore Molmo, an open VLM enhancing multimodal tasks with its PixMo dataset, innovative architecture & efficient, single-stage training.
Discover essential datasets for your GenAI/LLMs project, covering pre-training, fine-tuning, evaluation, and more for effective AI research.
Develop an AI-powered Valorant e-sports manager using AWS Bedrock to analyze players, optimize teams, and enhance strategy.
Agentic AI Planning Pattern, its use in strategic task execution, task decomposition approaches, and key frameworks like ReAct & ReWOO.
Explore the role of Generative AI in Decision-Making, its challenges, opportunities, and real-world applications.
Learn all about multi-agent sequential chat and how to build it using Autogen | AI chatbot conversation pattern sin Autogen
Analyzing Customer Issues with Agentic RAG: Enhanced insights and decision-making for complex, industry-specific queries.
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