LLM Data Science Bootcamp
Live/Online/8Weeks/BestPrice
Unlock the Full Potential of LLM Data Science Bootcamp
Explore the Future of LLM Data Science
- Join our 8-session bootcamp to dive into the fascinating world of Large Language Models (LLMs).
- Whether you’re a seasoned data scientist or just starting out, this program will equip you with the skills needed to harness the potential of LLMs in various applications.
What to Expect
Foundations of LLMs and Python Basics
- Overview of large language models
- Real-world applications of LLMs
- Python essentials for LLMs
- Common data structures and algorithms
- Core python libraries for LLM development
Understanding Natural Language Processing
- Overview of foundational NLP techniques
- Hands-on development of bigram models
- Deriving embeddings from natural language
- Common language processing techniques such as tokenization
Transformers and Attention
- Introduction to LLM’s core technology; Transformers
- Dive into transformer architecture
- Overview of attention mechanism
- Next token predictions via autoregressive model
- Hands-on with Hugging Face Transformers library
LLM Development: Fine-tuning and Prompt Engineering
- Overview of LLM fine-tuning techniques
- Hands-on fine-tuning of pre-trained models
- Prompt engineering walkthroughs and best practices
- Introduction to Few-shot prompting
- Exploring LLM-provider cookbooks for optimal LLM results
- Pre-training vs. Supervised Fine-tuning (SFT) vs. Prompt Engineering
- Reinforcement Learning for tuning LLMs
Retrieval-Augmented Generation (RAG)
- Explore RAG and why it is the most popular LLM use-case
- Exploring document chunking, embedding, and retrieval
- Vector RAG vs. Graph RAG
- RAG for reducing LLM hallucination
- Create your own RAG application
Introduction to LLM Agents
- Overview of Agent frameworks and motivation
- LLMs improving from feedback
- Using tools with LLMs to perform complex tasks
- Create your own Agents
- Planning and Execution
- Reflection, Chain-of-Thought (CoT), and multi-hop
Advanced Topics for Production LLM Application
- Releasing and monitoring LLMs in production
- LLM evaluations and learning from feedback
- Pre-processing techniques (intent detection, routing, safety, retrieval)
- Post-processing techniques (attribution, hallucination)
- Practical exercises with advanced LLM techniques
- Kickstart your own LLM project
How You’ll Learn
- Interactive Sessions: Engage in live discussions with experts.
- Video Lessons: Access curated video content.
- Hands-on Workshops: Apply concepts to real-world scenarios.
- Custom Projects: Build a portfolio of LLM applications.
What You’ll Gain
- Proficiency in LLMs and Python
- Practical experience with LLM libraries
- A capstone project to showcase your skills
Who Is This Course For
Duration
8 weeks
Skill Level
Intermediate/Advanced
Price / Early Bird
$900 / $500
Hands-on
8 weeks
Location
Remote
Earlybird Deadline
Oct 15, 2024
The Next Batch
Nov 9, 2024
10 AM – 12 PM
What You’ll Get Out of This Course
- Proficiency in LLMs and Python
- Practical experience with LLM libraries
- A capstone project to showcase your skills
Learn from Industry Experts and Seasoned Educators
Why Choose Us?
We embrace a hands-on learning philosophy, emphasizing practical experiences for an authentic grasp of data science concepts. Committed to cultivating the growth of emerging professionals in the data science realm, our program provides a distinctive opportunity to collaborate with seasoned experts. Join our dynamic team and immerse yourself in gaining practical expertise in areas such as data analysis, machine learning, and statistical modeling.
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