PickAClass · AI, Tech & Engineering · Generative AI & Deep Learning

Fine-Tuning Language Models

Go beyond prompting by learning to fine-tune pre-trained language models on custom datasets. Adapt models like GPT, Llama, and BERT for specific domains and tasks to improve performance and accuracy.

Fine-Tuning Language Models

Evaluating M-BERT on Natural Language Inference Tasks

Demystifying LLMs: An Introduction to Model Interpretability

Chatbot Development with Small Language Models and Ollama

How LLMs Learn: Inside the Transformer Training Loop

LLM Inference and Decoding Strategies

Refactoring Gherkin Parsers in Laravel for External Locales

Selecting and Testing Hugging Face Models for Machine Learning

Fine-Tuning OpenAI Models: A Practical Guide to Customizing LLMs

Fine-Tuning Large Language Models for Beginners

Introduction to LLM Fine-Tuning: Customizing Large Language Models

Fine-Tuning LLMs: Customize Models for Specialized Tasks

Fine-Tuning Large Language Models for Specific Tasks

Understanding Large Language Models: A Beginner's Guide to LLMs

Foundations of Large Language Models: A Beginner's Guide

Implementing Large Language Models in Salesforce

LLM Data Masking and Privacy with the Einstein Trust Layer

Configuring LLM Data Masking Policies in Einstein AI

Optimizing Knowledge Content for Large Language Models

Developing with Small Language Models: Efficient and Private NLP

Local Large Language Models: Practical Setup and Integration

Fine-Tuning Transformers for Generative AI

Fine-Tuning Large Language Models with Hugging Face and DPO

Introduction to Large Language Models and Prompt Tuning

DeepSeek AI and LLM Fundamentals for Beginners