Large Language Models (LLMs)

A collection of resources, tutorials, and articles about Large Language Models (LLMs).

Articles

• Building Multimodal AI Application with Gemini 2.0 Pro
• Building AI Application with Gemini 2.0
• Top 5 LLMs to Use According to FACTS Leaderboard
• Fine-Tuning DeepSeek R1 (Reasoning Model)
• Using DeepSeek-R1 Locally
• Fine-Tuning Llama 3.2 Vision
• Evaluate LLMs Effectively Using DeepEval: A Practical Guide
• How to Deploy LLM Applications Using Docker: A Step-by-Step Guide
• Run Local LLMs with Cortex
• HumanEval: A Benchmark for Evaluating LLM Code Generation Capabilities
• Best No-Code LLM App Builders
• Local AI with Docker, n8n, Qdrant, and Ollama
• Fine-Tuning GPT-4o
• Anthropic Computer Use: Automate Your Desktop With Claude 3.5
• Fine-tuning Llama 3.2 Using Unsloth
• Top 15 LLMOps Tools for Building AI Applications in 2024
• Fine-Tuning Phi-3.5 on E-Commerce Classification Dataset
• Fine-tuning GPT-4o Mini: A Step-by-Step Guide
• Using Llama 3.2 Locally
• Fine-tuning Llama 3.2: A Step-by-Step Guide
• Building 3 Fun AI Applications with ControlFlow
• LlaMA-Factory WebUI Beginner’s Guide: Fine-Tuning LLMs
• 10 Free Resources on LLMs
• 3 Ways of Using Gemma 2 Locally
• 12 LLM Projects For All Levels
• Building a Simple RAG Application Using LlamaIndex
• Fine-Tuning Llama 3.1 for Text Classification
• Fine-Tuning Gemma 2 and Using it Locally
• RAG vs Fine-Tuning: A Comprehensive Tutorial with Practical Examples
• Cohere Command R+: A Complete Step-by-Step Tutorial
• LLM Portfolio Projects Ideas to Wow Employers
• What are Quantized LLMs?
• Groq LPU Inference Engine Tutorial
• What is Retrieval-Augmented Generation (RAG)?
• 5 Vector Similarity Search Algorithms for LLMs
• Fine-Tuning Llama 3 and Using It Locally: A Step-by-Step Guide
• How to Run Llama 3 Locally: A Complete Guide
• Fine-Tune and Run Inference on Google’s Gemma Model Using TPUs for Enhanced Speed and Performance
• The Easiest Way of Running Llama 3 Locally
• Using Groq Llama 3 70B Locally: Step by Step Guide
• Run LLMs Locally: 7 Simple Methods
• Introduction to ChatGPT Next Web (NextChat)
• Fine Tuning Google Gemma: Enhancing LLMs with Customized Instructions
• Getting Started With Claude 3 Opus That Just Destroyed GPT-4 and Gemini
• Getting Started with Phi-2
• Running Mixtral 8x7b On Google Colab For Free
• Comprehensive Guide to Zephyr-7B: Features, Usage, and Fine-tuning
• A Simple Guide to Running LlaMA 2 Locally
• 5 Tools to Help Build Your LLM Apps
• The 5 Best Vector Databases You Must Try in 2024
• Mistral 7B Tutorial: A Step-by-Step Guide to Using and Fine-Tuning Mistral 7B
• Introduction to Falcon 40B: Architecture, Training Data, and Features
• Fine-Tuning LLaMA 2: A Step-by-Step Guide to Customizing the Large Language Model
• What is LaMDA?
• The Pros and Cons of Using Large Language Models (LLMs) in the Cloud vs. Running LLMs Locally: Which Is Right for You?
• StarCoder: The Coding Assistant That You Always Wanted
• The Ultimate Open-Source Large Language Model Ecosystem
• Open Assistant: Explore the Possibilities of Open and Collaborative Chatbot Development
• Dolly 2.0: ChatGPT Open Source Alternative for Commercial Use
• ChatGPT and GPT-4 Open Source Alternatives that are Balancing the Scales
• 8 Open-Source Alternative to ChatGPT and Bard
• How Watermarking Can Help Mitigate The Potential Risks Of LLMs?

Back to Home