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Generative Ai Llm Engineer
A comprehensive guide for Generative Ai Llm Engineer
""
1
PREREQUISITES
2
DEEP LEARNING & NLP FUNDAMENTALS
3
THE TRANSFORMER ARCHITECTURE
4
LARGE LANGUAGE MODELS (LLMS) FOUNDATIONS
5
BUILDING LLM APPLICATIONS (LLMOPS)
6
SECURITY, SAFETY & ALIGNMENT
7
DEPLOYMENT, INFERENCE & OPTIMIZATION
8
MULTIMODAL AI & FUTURE TRENDS
Generative Ai Llm Engineer
Programming Fundamentals
Python Mastery
Generators
Decorators
Typing
Concurrency &
Asynchronous
Programming
Object-Oriented
Programming
OOP
Data Structures &
Algorithms
Version Control
Git & GitHub
Command Line & Bash
Scripting
Mathematical Foundations
Linear Algebra
Vectors
Matrices
Tensors
Multivariable Calculus
Derivatives
Gradients
Probability &
Statistics
Distributions
Bayes' Theorem
Information Theory
Entropy
Cross-Entropy
Optimization
Techniques
Gradient Descent
Adam
Hardware & Compute Basics
GPU Architecture
Fundamentals
CUDA Cores
Tensor Cores
Memory Hierarchy &
Bandwidth
Compute-Bound vs.
Memory-Bound Workloads
Traditional Machine Learning
Supervised vs.
Unsupervised Learning
Scikit-Learn Framework
Evaluation Metrics
Accuracy
Precision
Recall
F1
Overfitting,
Underfitting, and
Regularization
Deep Learning Basics
Artificial Neural
Networks
ANNs
Backpropagation & Loss
Functions
Activation Functions
ReLU
GELU
SwiGLU
Optimizers &
Schedulers
AdamW
Cosine Annealing
Deep Learning
Frameworks
PyTorch
JAX
Traditional Natural Language Processing
Text Preprocessing
Tokenization
Stemming
Lemmatization
Bag of Words & TF-IDF
Word Embeddings
Word2Vec
GloVe
Subword Tokenization
BPE
WordPiece
SentencePiece
Tiktoken
Sequence-to-Sequence Models
Encoder-Decoder
Architecture
Recurrent Neural
Networks (RNNs) &
LSTMs
The Attention
Mechanism
Bahdanau & Luong
Transformer Anatomy
Self-Attention &
Multi-Head Attention
Advanced Attention
MQA
GQA
FlashAttention
Positional Encoding
Absolute
Relative
RoPE
ALiBi
Layer Normalization
Post-Norm
Pre-Norm
RMSNorm
Feed-Forward Neural
Networks
SwiGLU
Transformer Variants
Encoder-Only Models
BERT
RoBERTa
Decoder-Only Models
GPT Series
Llama
Mistral
Encoder-Decoder Models
T5
BART
Mixture of Experts
(MoE) Architecture
Pre-training
Self-Supervised
Learning Principles
Causal Language
Modeling
Next-Token Prediction
Masked Language
Modeling
MLM
Data Curation,
Deduplication, and PII
Scrubbing
Scaling Laws &
Compute-Optimal
Training
Chinchilla
Distributed Training
Data
Tensor
Pipeline Parallelism
FSDP
DeepSpeed
Alignment & Fine-Tuning
Supervised Fine-Tuning
SFT
Instruction Tuning
Synthetic Data
Generation
Self-Instruct
Evol-Instruct
Reinforcement Learning
from Human Feedback
RLHF
Direct Preference
Optimization (DPO),
ORPO, & KTO
Constitutional AI &
RLAIF
Parameter-Efficient Fine-Tuning (PEFT)
LoRA (Low-Rank
Adaptation) & DoRA
QLoRA
Quantized LoRA
Prompt Tuning & Prefix
Tuning
Adapters & PiSSA
Prompt Engineering
Zero-Shot, One-Shot,
and Few-Shot Prompting
Chain-of-Thought (CoT)
Prompting
Tree of Thoughts (ToT)
& Graph of Thoughts
GoT
System Prompts,
Framing, and Persona
Definition
Frameworks & Orchestration
LangChain
Chains
Prompts
Output Parsers
LlamaIndex
Data Connectors
Indices
Haystack
Pipelines
Nodes
DSPy
Programming &
Compiling Prompts
Retrieval-Augmented Generation (RAG)
Naive RAG vs. Advanced
RAG Architecture
Document Loaders and
Parsers
Chunking Strategies
Fixed-size
Semantic
Recursive
Agentic
Vector Embeddings
OpenAI
BGE
Nomic
Voyage
Vector Databases
Pinecone
Milvus
ChromaDB
Qdrant
Weaviate
Retrieval Strategies
BM25
Dense Retrieval
Hybrid Search
Query Transformation
(HyDE, Multi-Query) &
Routing
Reranking
Cross-Encoders
Cohere Rerank
GraphRAG & Knowledge
Graphs
Advanced RAG Paradigms
Self-RAG
CRAG
Context Compression
LLMLingua
Agents and Tool Calling
ReAct (Reasoning and
Acting) Framework
Function Calling & API
Integration
Semantic Routing
Multi-Agent Systems
AutoGen
CrewAI
LangGraph
Memory Management
Short-term
Long-term
Entity Memory
Plan-and-Execute
Architectures
Tool Creation and
Execution Sandboxes
Evaluation & Observability
Benchmarks &
Leaderboards
MMLU
HumanEval
MT-Bench
Chatbot Arena
Evaluating Generative
Outputs
BLEU
ROUGE
BERTScore
LLM-as-a-Judge
G-Eval
Prometheus
RAG Evaluation
Frameworks
RAGAS
TruLens
Tracing &
Observability
LangSmith
Phoenix
Langfuse
A/B Testing and Shadow
Deployments
Model Safety & Ethics
Bias, Fairness, and
Toxicity
Hallucinations &
Grounding
Red Teaming &
Vulnerability Scanning
Machine Unlearning &
Copyright Mitigation
Adversarial Attacks & Defenses
Prompt Injection &
Jailbreaking
Data Poisoning
Output Guardrails
NeMo Guardrails
Llama Guard
Guardrails AI
Defensive Prompting &
Input Validation
Model Inference & Serving
Continuous Batching &
PagedAttention
vLLM & SGLang
Text Generation
Inference
TGI
TensorRT-LLM
Local Inference
Ollama
Llama.cpp
MLX
Model Hubs
Hugging Face
ModelScope
Optimization Techniques
Quantization
GGUF
AWQ
GPTQ
EXL2
SmoothQuant
KV Cache Optimization
& Prompt Caching
Speculative Decoding
Context Length
Extension
YaRN
ALiBi
Model Pruning and
Distillation
Cloud & Production Deployment
Deploying on Cloud
Providers
AWS Bedrock
Azure OpenAI
GCP Vertex
Serverless GPU
Platforms
RunPod
Modal
Replicate
Baseten
API Design, Rate
Limiting, and Caching
Enterprise Compliance
SOC2
GDPR
HIPAA
Vision-Language Models (VLMs)
Contrastive
Language-Image
Pretraining
CLIP
LLaVA and Multimodal
LLM Architectures
Document AI and
LayoutLM
Audio & Generation Models
Speech-to-Text
Whisper
Text-to-Speech
TTS
Image & Video
Generation
Stable Diffusion
Midjourney
Sora
Emerging Trends
Small Language Models
(SLMs) and Edge AI
Continuous Learning in
LLMs
State Space Models
Mamba
Jamba
RWKV
Autonomous AI Software
Engineers
Devin