AI
Introducing AutoGen v0.4: Revolutionizing Agentic AI with Enhanced Scalability, Flexibility, and Reliability
Over the past year, Microsoft developments with AutoGen have underscored the remarkable capabilities of agentic AI and multi-agent systems. Microsoft is...
Deploying NVIDIA NIM for Generative AI Applications
NVIDIA’s NIM (Neural Inference Microservices) provides developers an efficient way to deploy optimized AI models from various sources, including community partners...
How vLLM and Docker are Changing the Game for LLM Deployments
Have you ever wanted to deploy a large language model (LLM) that doesn’t just work well but also works lightning-fast? Meet...
Exploring LLMs: Ollama, vLLM, Hugging Face, LangChain, and Open WebUI
The world of large language models (LLMs) is evolving rapidly, offering diverse tools for developers to integrate powerful AI into their...
Large Language Models in Vertical Industries: Revolutionizing Medical Documentation
Large Language Models (LLMs) have emerged as a groundbreaking force in artificial intelligence, demonstrating remarkable capabilities in understanding and generating human-like...
Exploring the Revolutionary Nemotron-4-340B-Instruct: Enhanced Instruction Following and Mathematical Reasoning
Model Overview Nemotron-4-340B-Instruct is a large language model developed by NVIDIA, designed for English-based single and multi-turn chat applications. It has...
Powerful RAG Techniques for AI and NLP Projects
Retrieval Augmented Generation also known as (RAG) is the process of optimizing the output of a large language model, so it...