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I will teach you nlp and llms from transformers to vllm optimization
I build and optimize AI chatbots, models, LLMs, and DevOps pipelines
I’m Awais, an AI & ML Engineer specializing in building intelligent chatbots, custom LLM solutions, and machine learning applications that transform business efficiency, engagement, and growth. From a...
Über diesen Service
Learn NLP and Large Language Models (LLMs) step by step from fundamentals to advanced system design. Whether you are new to AI or already exploring deep learning, this gig helps you understand how modern language models actually work and optimize their performance.
Basic (Foundations)
- What NLP is and how text is processed
- Tokenization, embeddings, and attention concept
- Transformer architecture explained simply
- Self-attention, multi-head attention, and softmax made easy
- Clear slides and visual examples for beginners
Standard (Intermediate)
- Dive deeper into transformer math and logic
- Understand KV cache, masking, and quadratic scaling
- Explore decoding strategies: greedy, sampling, beam, and contrastive search
- Learn how optimization improves model efficiency
- Includes practical explanations and visuals
Premium (Advanced)
- Master advanced LLM internals and vLLM framework
- Learn paged attention, batching, and speculative decoding
- Understand quantization (GPTQ, AWQ, INT8, FP8)
- Explore FlashAttention and CUDA graph optimizations
Perfect for students, AI enthusiasts, or professionals aiming to deeply understand how todays LLMs are built and optimized.
Zweck der Lektion:
AI
Schüleralter:
Teenager (13–17)
•
Erwachsener (18–65)
•
Senior (65+)
Entwicklungstechnologie:
Python
FAQ
Do I need prior experience in AI or coding to take this course?
Not necessarily. The Basic level starts from zero, explaining NLP and Transformers in plain language with visuals. If you have some Python or ML knowledge, you’ll grasp the Standard and Premium levels more easily, but it’s not mandatory.
Will I get practical examples or just theory?
You’ll get both. Each level includes clear explanations supported by real-world examples, visuals, and optional hands-on references so you can connect theory to practical implementation.
What makes this course different from others or free tutorials?
This gig focuses on depth and clarity, not surface-level overviews. You will understand why and how models like GPT and LLaMA actually work — including concepts like KV Cache, decoding strategies, and vLLM internals that most tutorials skip.
How are the classes conducted?
Classes are conducted live through Zoom or Google Meet with screen sharing. I also offer flexible timing based on your availability.
Do I need to code for this course?
No coding is required. This course focuses on concepts, architecture, and system-level understanding of NLP and LLMs. You’ll learn how models work, decode text, and optimize performance without writing Python or ML code.
