Discover how Guardrails-AI enhances safety in AI applications with Large Language Models, detecting toxic language and protecting user data.
Odds Ratio Preference Optimization: Combining supervised fine-tuning and preference optimization for efficient training of LLMs.
Phi 3: Microsoft's latest Phi model excels with extended context and superior performance, surpassing benchmarks.
Fine-tuning Google Gemma with Unsloth: Google's Gemma LLM fine-tuned with Unsloth for efficient natural language to code conversion.
Learn to perform RAG on LLMs with better accuracy than traditional bi-encoder models using ColBERT | The complete guide to ColBERT
Transform RAG workflow with Hypothetical Document Embedding: Improve retrieval, reduce hallucinations, and use LangChain for efficiency.
Guide to fine-tuning Gemini for masking PII data. Learn how to improve accuracy in NLP tasks and optimize your model for specific tasks.
Explore Groq's API for lightning-fast AI inference, revolutionizing real-time processing speeds in Artificial Intelligence.
Discover Gemma: an advanced model architecture. Learn about its training, benchmarks, and how to get started with easy steps for setup and usage.
Learn how to fine-tune LLM for Text2SQL tasks with the TinyLlama guide. Optimize your models efficiently for SQL query generation.
