Topic

Language Models (LLM)

The Winder.AI Language Models (LLM) blog. 28 articles on industrial Language Models (LLM), from our consulting and research work.

All Machine Learning Talk Case Study Workshop Language Models (LLM)

Articles in this topic

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Generative AI

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 / 5 min

Demo

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 / 8 min

Generative AI

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 / 12 min

Generative AI

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 / 6 min

Language Models

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 / 12 min

Language Models

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 / 15 min

Language Models

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 / 14 min

Language Models

Calculating LLM Token Counts: A Practical Guide

How do LLM tokenizers work? Understand what they do and learn how to calculate token counts for popular large language models, with examples.

Natalia Kuzminykh / 14 min

Language Models

The Problem of Big Data in Small Context Windows (Part 2)

Phil explains how to further optimize LLM context windows. Part 2 summarizes the key strategies you can use to improve your use of the context window.

Dr. Phil Winder / 17 min

Language Models

The Problem of Big Data in Small Context Windows (Part 1)

Dr. Phil Winder explores challenges of squeezing big data into LLMs' small context windows. Part 1 introduces the problem and the series.

Dr. Phil Winder / 12 min

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