Master Generative AI with 10+ Real-world Projects in 2025!
Learn Neural Network Weight Quantization techniques to optimize model size, speed, and efficiency without accuracy loss.
Explore how multimodal agentic frameworks revolutionize AI by integrating text, images, and more. Learn about Camel AI, its toolkits & more.
Learn how to fine-tune Phi-4 on a custom dataset locally and upload the model to Hugging Face for efficient deployment.
DeepEval, an open-source framework, helps evaluate Large Language Models (LLMs) with robust metrics, real-time monitoring & custom testing.
Learn about LATS - Language Agent Tree Search - the AI framework that enables systematic reasoning and strategic planning.
Discover MiniRAG, a lightweight RAG framework optimized for Small Language Models in resource-constrained environments.
CodeBase Explorer helps navigate, analyze, and understand complex codebases for more efficient software development and debugging.
LightRAG: Discover how this advanced RAG system combines knowledge graphs and vectors for efficient data retrieval.
Self-RAG enhances language models by enabling on-demand retrieval and self-reflection, improving factual accuracy and output quality.
Learn MLOps with Zenml! Build an end-to-end Zenml project for CLTV prediction, from pipelines to deployment. Read Now!
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