AISuite: Simplifying AI Development with Unified LLM IntegrationIn the fast-paced world of Artificial Intelligence (AI), the challenge of integrating multiple large language models (LLMs) from different…Jan 13Jan 13
Deploy Ollama and Open-WebUI on OpenShiftIn the rapidly evolving world of Generative AI, Large Language Models (LLMs) and Vision Language Models (VLMs) have become indispensable…Dec 3, 2024Dec 3, 2024
Fine-Tuning Vision-Language Models using LoRAUsing Unsloth for fine-tuning with Weights & Biases integration for experiment trackingNov 29, 2024Nov 29, 2024
Fine-Tuning Llama-3.1-8B for Function Calling using LoRALeveraging Unsloth for fine-tuning with Weights & Biases integration for monitoring and vLLM for model servingNov 3, 20241Nov 3, 20241
Ten ways to Serve Large Language Models: A Comprehensive GuideDeploying large language models (LLMs) can be a challenging task, especially with the growing complexity of models and hardware…Oct 24, 2024Oct 24, 2024
Evaluating Multimodal Models with LLaVA-CriticRefining Multimodal Models with Enhanced Evaluation TechniquesOct 18, 2024Oct 18, 2024
Crawl4AI: Unleashing Efficient Web ScrapingIn today’s data-driven world, the ability to efficiently gather and process information is paramount for the success of artificial…Oct 18, 2024Oct 18, 2024
Meet Ministral 3B and 8B: Edge AI Game-ChangersMistral AI’s New Frontier in Edge AI and On-Device ComputingOct 17, 2024Oct 17, 2024
Multi-Modal RAG: A Practical GuideUsing vLLM to serve models for Multimodal Text Summarization, Table Processing, and Answer SynthesisSep 17, 2024Sep 17, 2024
vLLM: Efficient Serving with Scalable PerformanceA guide to serving multimodal models like LLaVA on a CPU with vLLMSep 14, 2024Sep 14, 2024
