Internal Seminars

No	Topic	Sub Topic	Materials
1	LLMsFine Tuning LLMs	Introduction to LLM fine-tuning Fine-tuning methods (Full, LoRA, QLoRA, PEFT) LLM training pipeline Hardware & optimization Evaluation & benchmarking Deployment & inference	—
2	LLMsUnderstanding Large Language Models (LLMs)	What LLMs are & common use cases Tokens & next-token prediction Pretraining, datasets & scaling laws Context window & compute requirements	—
3	QuantumBasic of Quantum Computing (Part 2)	Quantum measurement mechanics Device ecosystems & QPUs Quantum software stack (Qiskit) Hardware noise & decoherence	Slides
4	LLMsUnderstanding 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	Slides
5	ML Fund.Hyperparameter Tuning: Controlling and Improving Neural Network Training	What are hyperparameters? Learning rate, batch size & epochs Tuning strategies	Slides
6	ML Fund.Regularization Techniques: Preventing Overfitting and Improving Generalization	Overfitting & underfitting Dropout, L1 & L2 regularization Generalization strategies	Slides
7	ML Fund.How Neural Networks Improve: Optimization Algorithms and Learning Dynamics	Gradient descent variants Adam, SGD & momentum Learning dynamics & convergence	—
8	ML Fund.Backpropagation: How Neural Networks Learn Through Gradient Flow	Backpropagation algorithm Gradient flow & chain rule Weight updates	Slides
9	QuantumBasic of Quantum Computing (Part I)	Introduction to quantum computing Mathematical language of qubits Superposition, entanglement & interference Quantum circuits & operations	Slides
10	AI ToolsN8N Workflow Automation: From Fundamentals to AI Integration	N8N architecture, nodes & workflows Hands-on pipelines LLM & RAG integration Real-world use cases	Slides
11	ML Fund.Activation Functions and Loss Functions: Enabling Learning in Neural Networks	Activation functions Loss functions Neural network learning	Slides
12	ML Fund.Model Architecture and Forward Propagation: How Neural Networks Are Structured and Compute Predictions	Neural network architecture Forward propagation Prediction computation	Slides
13	AI ToolsAnthropic Products and Features	Anthropic background Claude model use cases Claude web interface Claude Code CLI & desktop Key Claude Code features	Slides
14	AI ToolsUnderstanding 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	Slides
15	AI ToolsOpenAI Products and Features	OpenAI introduction ChatGPT products & use cases Sora & Codex OpenAI platform & developer ecosystem	Slides
16	ML Fund.Foundations of Building Machine Learning Models	Problem definition Data handling & preprocessing	Slides
17	LLMsPAPER : Attention is all you need	Transformer overview & architecture Encoder Methodology & results Model behavior analysis	Slides Paper
18	VisionDeep 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	Slides
19	ResearchMastering Data Storytelling and Visualization in Power BI	Plot types & interpretation Power BI Data storytelling for publications	Slides
20	LLMsUnderstanding fundamentals of Prompt Engineering	Prompt engineering definition Mechanics of LLM prompting Core components of a prompt Chain-of-Thought (CoT)	Slides
21	LLMsAn Introduction to NL2SQL	NL2SQL core ideas & pipeline Models & schema encoding Applications & challenges	Slides
22	VisionUnderstanding Computer Vision and Applications	Computer vision overview Image classification Object detection & tracking Object segmentation Pose estimation	Slides
23	ResearchUnderstanding Journal Indexing and Publication Metrics	Journal indexing databases Impact Factor vs. CiteScore Author-level metrics (h-index) Google Scholar	Slides
24	ResearchUnderstanding Basic LaTeX	What is LaTeX? Essential commands Structuring a document Citations & bibliography Creating a PDF	Slides
25	ResearchUnderstanding Submission and Revision Processes	Choosing a journal Formatting for submission Peer review process Responding to reviewer comments Final proofreading & publication	Slides
26	ResearchCitation and Reference Management	Citation styles Manual citation Reference management systems Creating a bibliography	Slides
27	ResearchUnderstanding Research Paper Structure	Research paper structure overview Description of each section Sample journal walkthrough	Slides