filmov
tv
LLM Mastery in 30 Days: Day 2 -Working of Tokenizers
Показать описание
🚀 Mastering LLMs in 30 Days: Day X - Tokenization Deep Dive 🧠
Join us on our journey to master Large Language Models! Today, we're diving deep into tokenization, with a special focus on Byte Pair Encoding (BPE).
🔍 In this comprehensive video, we cover:
• What is tokenization and why it's crucial for NLP
• Different types of tokenizers:
- Character-level
- Word-level
- Subword tokenization (BPE, WordPiece, Unigram, SentencePiece)
• Detailed explanation of Byte Pair Encoding (BPE)
• Byte-level BPE and its advantages
• How to implement a BPE tokenizer from scratch
• Using Hugging Face for efficient tokenization
💡 Key Highlights:
• Understanding the pros and cons of various tokenization methods
• Deep dive into BPE algorithm and its implementation
• Practical examples and code walkthrough
• Tips for choosing the right tokenizer for your NLP tasks
🔬 Hands-on Challenge:
Create a BPE tokenizer that works with five languages: English, German, French, Hindi, and Tamil. Can you do it without any unknown tokens? Submit your solution for a chance to win a prize!
📚 Resources:
• Code snippets and examples provided in the video
• Links to additional reading and documentation
Whether you're a beginner or an experienced NLP practitioner, this video will enhance your understanding of tokenization and its impact on LLM performance.
Don't forget to like, subscribe, and share your thoughts in the comments!
#NLP #MachineLearning #Tokenization #BytePairEncoding #LLM #AILearning
Join this channel to get access to perks:
Important Links:
For further discussions please join the following telegram group
You can also connect with me in the following socials
Join us on our journey to master Large Language Models! Today, we're diving deep into tokenization, with a special focus on Byte Pair Encoding (BPE).
🔍 In this comprehensive video, we cover:
• What is tokenization and why it's crucial for NLP
• Different types of tokenizers:
- Character-level
- Word-level
- Subword tokenization (BPE, WordPiece, Unigram, SentencePiece)
• Detailed explanation of Byte Pair Encoding (BPE)
• Byte-level BPE and its advantages
• How to implement a BPE tokenizer from scratch
• Using Hugging Face for efficient tokenization
💡 Key Highlights:
• Understanding the pros and cons of various tokenization methods
• Deep dive into BPE algorithm and its implementation
• Practical examples and code walkthrough
• Tips for choosing the right tokenizer for your NLP tasks
🔬 Hands-on Challenge:
Create a BPE tokenizer that works with five languages: English, German, French, Hindi, and Tamil. Can you do it without any unknown tokens? Submit your solution for a chance to win a prize!
📚 Resources:
• Code snippets and examples provided in the video
• Links to additional reading and documentation
Whether you're a beginner or an experienced NLP practitioner, this video will enhance your understanding of tokenization and its impact on LLM performance.
Don't forget to like, subscribe, and share your thoughts in the comments!
#NLP #MachineLearning #Tokenization #BytePairEncoding #LLM #AILearning
Join this channel to get access to perks:
Important Links:
For further discussions please join the following telegram group
You can also connect with me in the following socials
0:18:24
LLM Mastery in 30 Days | Course Introduction
1:05:09
LLM Mastery in 30 Days: Day 3 - The Math Behind Transformers Architecture
0:07:05
How I’d learn ML in 2024 (if I could start over)
1:08:57
LLM Mastery in 30 Days: Day 0 Prerequisites Part1- NLP Basics to ML For NLP
0:33:29
LLM Mastery in 30 Days: Day 1 - Introduction To Transformers | Transformer Types - Pros, Cons, Uses
0:07:31
Make $660/Day with Free Google Generative AI Certificates
0:12:54
How To Self Study AI FAST
1:29:02
LLM Mastery in 30 Days: Day 9 - Pretrain LLM From Scratch
5:47:24
Session 003 | My 30 Day System Design Challenge with Abinash Changed Everything
1:21:22
LLM Mastery in 30 Days: Day 7 - LLM Pretraining Guide Zero to Hero
0:05:48
Advice for machine learning beginners | Andrej Karpathy and Lex Fridman
0:17:55
How I'd Learn AI in 2025 (if I could start over)
0:08:39
AI/ML Engineer path - The Harsh Truth
0:00:08
Top AI courses that you can take for free
0:00:35
Learn AI in Just 3 HOURS 🚀| ChatGPT & Generative AI | Ishan Sharma #shorts
0:12:19
How I Would Learn Python FAST (if I could start over)
0:00:29
IQ TEST
1:03:37
LLM Mastery in 30 Days: Day 5 - Advanced Positional Encoding Methods
0:40:23
LLM Mastery in 30 Days: Day 0 Prerequisites Part3 - Translation with Seq2Seq & Attention(Bahdana...
0:07:11
How to learn AI and get RICH in the AI revolution
2:15:01
LLM Mastery in 30 Days: Day 0 Prerequisites Part2 - DL For NLP - ANN, RNN, LSTM...
0:01:11
Elon musk roasting MBA degree🤣🤣:: on why mba is worthless and waste of money!!🤯🤯
1:09:12
LLM Mastery in 30 Days: Day 8 - Coding MiniGPT2 From Scratch
0:54:02
LLM Mastery in 30 Days: Day 2 -Working of Tokenizers
Комментарии