Retrieval-Augmented Generation (RAG) Examples and Use Cases
Watch our webinar to explore Retrieval Augmented Generation (RAG) use cases and advanced LLM techniques to enhance AI applications in 2024.
Dr. Phil Winder
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5 minMore articles
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Dr. Phil Winder
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5 min
Generating Keywords Automatically With llama-cli and Phi-3
Automate SEO keyword generation for your Hugo blog with llama-cli and Phi-3. Enhance related content linking and boost site performance.
Dr. Phil Winder
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8 min
Build a Voice-Based Chatbot with OpenAI, Vocode, and ElevenLabs
Learn to create a chatbot using OpenAI, Vocode, and ElevenLabs for natural voice interactions. An example speech-to-text and text-to-speech system.
Natalia Kuzminykh
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12 min
Revolutionizing IVR Systems: Attaching Voice Models to LLMs
Discover how attaching voice models to large language models (LLMs) revolutionizes IVR systems for superior customer interactions.
Dr. Phil Winder
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4 min
LLM Architecture: RAG Implementation and Design Patterns
Discover the most common LLM architectures for retrieval augmented generation. Including pros and cons and how to choose the best RAG architecture.
Dr. Phil Winder
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6 min
Exploring Small Language Models
Learn about efficient Small Language Models (SLMs) as cost-effective, resource-saving alternative to Large Language Models (LLMs) for AI applications.
Natalia Kuzminykh
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12 min
Scaling StableAudio.com Generative Models Globally with NVIDIA Triton & Sagemaker
Learn from the trials and tribulations of scaling audio diffusion models with NVIDIA's Triton Inference Server and AWS Sagemaker.
Enrico Rotundo
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3 min
Big Data in LLMs with Retrieval-Augmented Generation (RAG)
Explore how Retrieval-Augmented Generation (RAG) enhances Language Models by utilizing indexing, retrieval, and generation for up-to-date data access.
Natalia Kuzminykh
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15 min
LLMs: RAG vs. Fine-Tuning
When should you use retrieval augmented generation (RAG)? When should you fine-tune? Find out when and why and how to incorporate knowledge into LLMs.
Dr. Phil Winder
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17 min
LLM Prompt Best Practices For Large Context Windows
Explore the benefits and challenges of large context windows in AI, learning to design effective prompts to enhance AI performance.
Natalia Kuzminykh
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14 minNewsletter
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