Explore >> Select a destination

You are here

 qa.fastforwardlabs.com
Building a QA System with BERT on Wikipedia | NLP for Question Answering
| | neptune.ai
LLM Fine-Tuning and Model Selection Using Neptune and Transformers
3.8 parsecs away

Travel
| | Insights and strategies for selecting the best LLM and conducting efficient fine-tuning, even when resources are constrained.
| | www.confident-ai.com
The Ultimate Guide to Fine-Tune LLaMA 3, With LLM Evaluations - Confident AI
3.5 parsecs away

Travel
| | In this article, we'll walkthrough how to fine-tune and evaluate a LLaMA-2 model using Hugging Face and DeepEval
| | mccormickml.com
Trivial BERsuiT - How much trivia does BERT know? · Chris McCormick
2.9 parsecs away

Travel
| |
| | scorpil.com
Understanding Generative AI: Part Two - Neural Networks · Scorpil
7.3 parsecs away

Travel
| In Part One of the "Understanding Generative AI" series, we delved into Tokenization - the process of dividing text into tokens, which serve as the fundamental units of information for neural networks. These tokens are crucial in shaping how AI interprets and processes language. Building upon this foundational knowledge, we are now ready to explore Neural Networks - the cornerstone technology underpinning all Artificial Intelligence research. A Short Look into the History Neural Networks, as a technology, have their roots in the 1940s and 1950s.