Master Generative AI with 10+ Real-world Projects in 2025!
Learn to build a reliable LLM Agent using advanced RAG techniques, LangGraph, and Cohere LLM. Understand the differences, advantages & more.
Learn to leverage MongoDB Atlas Vector Search for semantic search and RAG, using LangChain, LlamaIndex, and client libraries.
Discover how fine-tuning and Retrieval-Augmented Generation (RAG) enhance LLMs for precise, contextually relevant text generation
Transform PDF images into interactive dialogues using AI. Learn to extract images from PDFs using Python, LLava, and LangChain.
Unlock insights, automate tasks, and enhance experiences with Cohere's Enterprise AI platform. Install, customize, and deploy effortlessly.
Build an end-to-end RAG app with Cohere Command-R and Rerank for improved retrieval and response quality - Part 1.
Odds Ratio Preference Optimization: Combining supervised fine-tuning and preference optimization for efficient training of LLMs.
Maximize Llama 3 potential with RLHF & Direct Preference Optimization fine-tuning via Unsloth, enhancing LLM performance & adaptability.
Phi 3: Microsoft's latest Phi model excels with extended context and superior performance, surpassing benchmarks.
Explore how to use Llama-3 on platforms like Hugging Face, Perplexity AI, and Replicate for free AI access. Read Now!
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