blogs

Integrating Retrieval-Augmented Generation (RAG) in Your LLM Applications

blogs

Integrating Retrieval-Augmented Generation (RAG) in Your LLM Applications

Outline 1. Introduction * Importance and benefits of RAG 2. Understanding Retrieval-Augmented Generation * What is RAG? * Key differences from traditional LLMs 3. Steps to Integrate RAG * Choosing the right retrieval mechanism * Implementing the retrieval step * Integrating retrieval with generation 4. Best Practices * Optimizing for large-scale data * Fine-tuning RAG models * Avoiding common

By Athina AI
Optimizing LLM Inference for Real-Time Applications

blogs

Optimizing LLM Inference for Real-Time Applications

Outline 1. Introduction * Importance of optimizing LLM inference * Challenges in real-time applications 2. Understanding Inference Bottlenecks * Latency factors * Model size and complexity * Hardware limitations 3. Techniques for Optimizing Inference * Model quantization * Distillation and pruning * Batch processing and caching 4. Infrastructure and Deployment Considerations * Choosing the right hardware (GPUs, TPUs) * Edge

By Athina AI