BERT is a Google search algorithm and open-source framework that has significantly influenced natural language processing. It utilizes a bidirectional encoder representation from transformers and has been pre-trained on a vast amount of English text. BERT addresses challenges such as natural language disambiguation, providing a foundational layer for neural networks in various machine learning tasks.

1. BERT ALGORITHM
EXPLAINED.

2. BERT IS A GOOGLE SEARCH
ALGORITHM
'INGREDIENT'/TOOL/FRAMEWORK
CALLED GOOGLE BERT

3. BERT IS ALSO AN OPEN
SOURCE RESEARCH
PROJECT AND ACADEMIC
PAPER

4. BERT
BIDIRECTIONAL ENCODER
REPRESENTATION FROM
TRANSFORMERS

5. GOOGLE'S MOVE TO OPEN
SOURCE BERT HAS PROBABLY
CHANGED NATURAL LANGUAGE
PROCESSING FOREVER

6. BERT HAS BEEN PRE-TRAINED ON
A LOT OF WORDS.....ON THE
WHOLE OF THE ENGLISH(2500
MILLION WORDS)

7. VANILLA BERT PROVIDES A
PRE-TRAINED STARTING
POINT LAYER FOR NEURAL
NETWORKS IN MACHINE
LEARNING AND NATURAL
LANGUAGE DIVERSE TASKS

8. WHAT
CHALLENGES
DOES BERT HELP
TO SOLVE?

9. THE
PROBLEM
WITH
WORDS

10. NATURAL LANGUAGE
DISAMBIGUATION

11. THANK
YOU