Internal seminars
Regular knowledge-sharing sessions among lab members on the latest research, methods and industry trends.
- 01LLMs
DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
- RLHF fundamentals: review of Proximal Policy Optimization (PPO) and its traditional role in alignment
- Enter GRPO (Group Relative Policy Optimization): mechanics and how it removes the separate critic model
- PPO vs GRPO: memory efficiency, training stability & computational overhead
- 02LLMs
Understanding Self-Attention Variants in Modern LLMs
- Recap: Query, Key and Value in self-attention
- Causal vs bidirectional self-attention
- Single-head vs multi-head attention
- Multi-Head Attention (MHA)
- Multi-Query Attention (MQA)
- Grouped-Query Attention (GQA)
- Cross-attention vs self-attention
- 03LLMs
Large Language Models for Combinatorial Optimization
- Overview of the review paper "Large Language Models for Combinatorial Optimization: A Systematic Review"
- Introduction to optimization problems
- Introduction to combinatorial optimization problems
- Large language models for combinatorial optimization
- 04LLMs
Understanding LLM Evaluation: Hands on Implementation
- Recap of the 4 paradigms of LLM evaluation & motivation
- GSM8K: verifier demo
- HumanEval / Pass@k: execution demo
- MT-Bench: LLM-as-a-Judge
- 05LLMs
Agentic AI in the AI Era
- Concept & key characteristics of agentic AI
- Evolution from traditional AI and generative AI to agentic AI
- Main components: planning, memory, reasoning & tool use
- Benefits, limitations, risks & ethical concerns of autonomous agents
- Future trends in human-AI collaboration and multi-agent systems
- 06LLMs
Fine Tuning LLMs
- Introduction to LLM fine-tuning
- Fine-tuning methods (Full, LoRA, QLoRA, PEFT)
- LLM training pipeline
- Hardware & optimization
- Evaluation & benchmarking
- Deployment & inference
- 07LLMs
Understanding Large Language Models (LLMs)
- What LLMs are & common use cases
- Tokens & next-token prediction
- Pretraining, datasets & scaling laws
- Context window & compute requirements
- 08Quantum
Basic of Quantum Computing (Part 2)
- Quantum measurement mechanics
- Device ecosystems & QPUs
- Quantum software stack (Qiskit)
- Hardware noise & decoherence
- 09LLMs
Understanding the 4 Main Approaches to LLM Evaluation
- Foundations of LLM evaluation
- Multi-dimensional quality & failure modes
- Benchmark & verifier-based evaluation
- Human preference & LLM-as-a-judge
- Paradigm trade-offs
- 10ML Fund.
Hyperparameter Tuning: Controlling and Improving Neural Network Training
- What are hyperparameters?
- Learning rate, batch size & epochs
- Tuning strategies
- 11ML Fund.
Regularization Techniques: Preventing Overfitting and Improving Generalization
- Overfitting & underfitting
- Dropout, L1 & L2 regularization
- Generalization strategies
- 12ML Fund.
How Neural Networks Improve: Optimization Algorithms and Learning Dynamics
- Gradient descent variants
- Adam, SGD & momentum
- Learning dynamics & convergence
- 13ML Fund.
Backpropagation: How Neural Networks Learn Through Gradient Flow
- Backpropagation algorithm
- Gradient flow & chain rule
- Weight updates
- 14Quantum
Basic of Quantum Computing (Part I)
- Introduction to quantum computing
- Mathematical language of qubits
- Superposition, entanglement & interference
- Quantum circuits & operations
- 15AI Tools
N8N Workflow Automation: From Fundamentals to AI Integration
- N8N architecture, nodes & workflows
- Hands-on pipelines
- LLM & RAG integration
- Real-world use cases
- 16ML Fund.
Activation Functions and Loss Functions: Enabling Learning in Neural Networks
- Activation functions
- Loss functions
- Neural network learning
- 17ML Fund.
Model Architecture and Forward Propagation: How Neural Networks Are Structured and Compute Predictions
- Neural network architecture
- Forward propagation
- Prediction computation
- 18AI Tools
Anthropic Products and Features
- Anthropic background
- Claude model use cases
- Claude web interface
- Claude Code CLI & desktop
- Key Claude Code features
- 19AI Tools
Understanding Gemini AI Ecosystem and Use Cases
- Gemini multimodal model & context window
- Deep Research & Gemini Live
- Image/video generation (Imagen, Veo)
- Developer tools (Firebase Studio, AI Studio, Gemini CLI)
- NotebookLM & Google Vids
- 20AI Tools
OpenAI Products and Features
- OpenAI introduction
- ChatGPT products & use cases
- Sora & Codex
- OpenAI platform & developer ecosystem
- 21ML Fund.
Foundations of Building Machine Learning Models
- Problem definition
- Data handling & preprocessing
- 22LLMs
PAPER : Attention is all you need
- Transformer overview & architecture
- Encoder
- Methodology & results
- Model behavior analysis
- 23Vision
Deep Dive into Object Detection : How models see "what"and "where"
- Object detection overview & model output
- Two-stage & one-stage detectors
- Backbone / neck / head architecture
- Evaluation metrics
- 24Research
Mastering Data Storytelling and Visualization in Power BI
- Plot types & interpretation
- Power BI
- Data storytelling for publications
- 25LLMs
Understanding fundamentals of Prompt Engineering
- Prompt engineering definition
- Mechanics of LLM prompting
- Core components of a prompt
- Chain-of-Thought (CoT)
- 26LLMs
An Introduction to NL2SQL
- NL2SQL core ideas & pipeline
- Models & schema encoding
- Applications & challenges
- 27Vision
Understanding Computer Vision and Applications
- Computer vision overview
- Image classification
- Object detection & tracking
- Object segmentation
- Pose estimation
- 28Research
Understanding Journal Indexing and Publication Metrics
- Journal indexing databases
- Impact Factor vs. CiteScore
- Author-level metrics (h-index)
- Google Scholar
- 29Research
Understanding Basic LaTeX
- What is LaTeX?
- Essential commands
- Structuring a document
- Citations & bibliography
- Creating a PDF
- 30Research
Understanding Submission and Revision Processes
- Choosing a journal
- Formatting for submission
- Peer review process
- Responding to reviewer comments
- Final proofreading & publication
- 31Research
Citation and Reference Management
- Citation styles
- Manual citation
- Reference management systems
- Creating a bibliography
- 32Research
Understanding Research Paper Structure
- Research paper structure overview
- Description of each section
- Sample journal walkthrough