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Techobytes & E-Cell IIT Hyderabad Present: 2-Day National Tech Workshop Series 2025Join and get immersive learning experience. Sessions will be led by industry experts, offering hands-on practicals and a cutting-edge curriculum aligned with industry standards.By attending, you'll not only gain valuable tech knowledge but also have the opportunity to network with industry professionals and connect with fellow participants, expanding both your skills and your professional circle.Workshop Date : 8th - 9th February 2025 (Saturday-Sunday)Workshop Time: 10 AM to 5 PMWorkshop Duration: 2 Days (14-16 Hours)Workshop Venue: IIT HYDERABAD (Main Campus), HyderabadTECHO WORKSHOP SERIES TOPICS (Each Workshop has 60-80 Seats only)MASTERING: GENERATIVE AI COURSE CONTENTIntroduction to Generative AI: Get to know about what is GenAI Difference between AI, Machine Learning & Deep Learning Difference between Discriminative AI vs Generative AI Tools involved in GenAI Know about privileged GenAI tools and Models. Effective Road Map to explore the GenAI Model. Generative Architecture Introduction to Generative Adversarial Network (GAN) Architecture Know about the Generator & Discriminator Models How GAN architecture uses for Deep Fake Model Difference between Variational Auto Encoders (VAEs) vs GAN architecture Hands-on: Development of Generative Images using GAN Complex Architecture Hands-on: Create your own “Deep Fake Model” using low-level GAN Structure. Deep insights of GAN applications & drawbacks of it. Attention Is All You Need – Transformers & LLMs What is Transformer? How the architecture looks like? Text Generation before transformers Know about Attention Model vs Multi-Head Attention Model vs Scaled Dot- Product Attention Difference between Encoder & Decoder Architecture. Difference between Batch vs Layer Normalization Step-into the most famous transformer community – Hugging Face Text Generation after transformers Introduction to Large Language Models (LLMs) Popular LLMs: BERT, BART, DistilBert Hands-on: Conversation AI using pre-trained LLM Model Hands-on: Image Caption Generator using pre-trained LLM Model Hands-on: Customized & Fine-tuning Question & Answering BERT Model Hands-on: Customized & Fine-tuning DistilBert Model Mastering Generative AI (Exploring the Frontiers of Generative Models) Learn about GPT (Generative Pre-trained Model ) Fine-Tuning the LLM Model on a specific task & Model Evaluation Parameter Efficient Fine-Tuning (PEFT) Vision Transformer – ViT Model with API interface Learn about Vision Transformer Architecture and its variable components. Understand about Image Vectorization, Patches extraction & Positional Encoding. Hands-on: Pre-trained Google ViT Model for Image Classification Hands-on: Customized ViT architecture (RAW Structure for ViT Base) Hands-on: Create your own ViT Multi-class classification and deploy the model into HuggingFace Hug using API Interface. Git workflows Git cheat sheet Reinforcement Learning From Human Feedback: Deep Insight of RLHF RLHF: Obtaining feedback from humans RLHF: Reward model RLHF: Fine-tuning with reinforcement learning Relative Sync of ChatGPT with RLHF GenAI – LangChain Framework: What is LangChain? Usage of LangChain Framework? How it works? Integrating the LangChain Framework with LLM Model. Understand about the Langchain pipeline end points, Chains & Prompt Template. Hands-on: Create the simple LLM Langchain using the HuggingFace API Interface Hands-on: Create the Langchain framework including with promptTemplate, AutoTokenizer & LLM Chain interfacing with HuggingFace API Interface GenAI – Retrieval Augmented Generation (RAG) Explore the different tools in LangChain and initialise an agent that uses the tools to read different types of files or data present in the company database Build the backend for the system using Vectorstore options present in LangChain Divide the documents into chunks and apply the LLM to create the embeddings. Extract entity for the chunks of document and store them in the Vectorstore Construct the Search Index and Entity Store and create a functionality to update it with every question that the user asks Use the Chain functionality of LangChain to connect all the components Hands-on: Create your simple RAG pipeline with FAISS Vector Store similarity search using OpenAI API or HuggingFace End-point API Interface. Hands-on: Create your own Retrieval QA End-to-End RAG pipeline using OpenAI/HuggingFace API. GenAI Advanced- LangGraph & VectorDB/ChromaDB Build an agent from scratch, and understand the division of tasks between the LLM and the code around the LLM. Integrate agentic search capabilities to enhance agent knowledge and performance. Learn how agentic search retrieves multiple answers in a predictable format, unlike traditional search engines that return links. Incorporate human-in-the-loop into agent systems Hands-on: Create your own Retrieval pipeline using ChromaDB to store the pdf embedding chunks. Add-on: Hugging Spaces- Knowledge to deploy How to use the Llama & other popular LLM models in HuggingFace Spaces. How to create the new workspace and initializing your repository? Hands-on: Build and deploy your own GenAI Application in Hugging Face Spaces using Streamlit. CERTIFICATION:Certificate of participation from E-Cell IIT Hyderabad & Techobytes TechnologiesEligibility: OPEN TO ALL!!! B.tech, B.E, M.B.B.S, BCA, MCA, MS, MD, B.sc IT, M.sc IT, Biomedical, Bio-Technology, BBA, MBA, B.A, hobbist and from any other stream can join the workshop.Benefits:-Hardcore Training from Industrial Experts for their particular domain.-Software-Hands-on Demonstration of the Latest Techniques & tools-Interactive Query SessionFee :Rs. 1500/- only (per participant)REGARDSTeam Techobytes
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Event Venue & Nearby Stays
Indian Institute of Technology Hyderabad, Alwal, India
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