Master Generative AI with 10+ Real-world Projects in 2025!
A curated list of the top 12 GitHub repositories like awesome-llm that come with open-source projects to help you master LLMs.
Learn all about Claude 4 models: Opus and Sonnet. Explore their Key features, performance benchmarks, handson tasks, applications and more
Learn how Cross Entropy Loss serves as a cornerstone metric for evaluating language models and improving AI performance.
Learn how ROUGE evaluates LLM-generated text, compares with other metrics, and implements it in Python for NLP tasks.
How to access Falcon 3: An open-source, decoder-only AI model built for scalability, efficiency & accessibility across diverse applications.
Discover Falcon 3: High-performance, scalable AI for laptops and resource-constrained systems, revolutionizing accessibility.
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.
Learn how to build a simple LLM application with LCEL for English-to-Japanese translation. Create & deploy your LangChain-based tool.
Explore the various free and paid APIs available for accessing some of the most popular LLMs. Know the different API providers out there.
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