LLM Ecosystem explained: Your ultimate Guide to AI
Introduction to the world of LLM (Large Language Models) in April 2023. With detailed explanation of GPT-3.5, GPT-4, T5, Flan-T5 to LLama, Alpaca and KOALA LLM, plus dataset sources and configurations.
Including ICL (in-context learning), adapter fine-tuning, PEFT LoRA and classical fine-tuning of LLM explained. When to choose what type of data set for what LLM job?
Addendum: Beautiful, new open-source “DOLLY 2.0“ LLM was not published at time of recording, therefore a special link to my video explaining DOLLY 2:
A comprehensive LLM /AI ecosystem is essential for the creation and implementation of sophisticated AI applications. It facilitates the efficient processing of large-scale data, the development of complex machine learning models, and the deployment of intelligent systems capable of performing complex tasks.
As the field of AI continues to evolve and expand, the importance of a well-integrated and cohesive AI ecosystem cannot be overstated.
A complete overview of today’s LLM and how you can train them for your needs.
#naturallanguageprocessing
#LargeLanguageModels
#chatgpttutorial
#finetuning
#finetune
#ai
#introduction
#overview
#chatgpt
1 view
205
57
12 months ago 00:17:10 1
CUDA Developer Tools | SOL Analysis with NVIDIA Nsight Compute
1 year ago 00:13:29 1
PyTorch vs TensorFlow in 2023 FULL OVERVIEW
1 year ago 00:27:03 1
LLM Ecosystem explained: Your ultimate Guide to AI
1 year ago 01:00:52 1
[DataFramed AI Series #1] ChatGPT and the OpenAI Developer Ecosystem (with Logan Kilpatrick)