Master Generative AI with 10+ Real-world Projects in 2025!
LangChain guide covering prompts, chains, tools, agents, memory, and retrieval. Learn how to build scalable, real-world AI applications.
Learn to build an open-source logo detector ACR system using embeddings, Euclidean distance, thresholding, and vector search techniques.
Explore the fundamentals of LLM pretraining, its role in AI advancements, and how it shapes models like GPT-4.
Multimodal LLMs that integrate text, images & video to enhance AI capabilities in tasks like image captioning, object detection & reasoning.
DeepEval, an open-source framework, helps evaluate Large Language Models (LLMs) with robust metrics, real-time monitoring & custom testing.
Build a Multimodal RAG system to handle text, images & tables, overcoming traditional RAG limitations using advanced multimodal LLMs.
Explore Meta Llama 3.1, a powerful open-source AI model. Compare its performance with GPT-4o mini across 10 tasks and more. Read Now!
Discover Graph RAG, an evolution of RAG using graph structures for richer context, multi-hop reasoning, and efficient query handling.
Llama-agents, a async-first framework for multi-agent systems, enabling distributed tool execution, real-time communication & more features.
Explore LangChain and learn how to build powerful (LLM) Large Language Model applications. Dive into data ingestion & memory management.
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