|
Participated in
Skilltest: Tree Based Models
|
|
Participated in
SVM Skilltest
|
|
Participated in
#AVdatafest SkillPower: Probability
|
|
Participated in
#AVdatafest SkillPower: Time Series
|
|
Participated in
DataHour: LLM Fine-tuning for Beginners with Unsloth
|
|
Participated in
DataHour: Large Language Models: Foundation, Evolution and Applications
|
|
Participated in
DataHour: Introduction to Serving Machine Learning Models as Microservices
|
|
Participated in
DataHour: Innovative Applications of Artificial Intelligence
|
|
Participated in
DataHour: Real-World REST APIs with Docker Containers
|
|
Participated in
DataHour: Building Robust RAG Applications for the Real-World
|
|
Participated in
DataHour: Evaluating LLMs and LLM Systems : Pragmatic Approach
|
|
Participated in
DataHour: Rust and Python in the age of LLMOps
|
|
Participated in
DataHour: Full-Stack Data Science with FastAPI
|
|
Participated in
Better Data Understanding Through GenAI Powered Search
|
|
Participated in
DataHour: Empowering Stakeholders: With Supercharged & Functional Tableau Dashboard
|
|
Participated in
DataHour: Responsible Use of Generative AI
|
|
Participated in
DataHour: Creating Delightful Customer Experience with RAG
|
|
Participated in
DataHour: The Future of GenAI
|
|
Participated in
DataHour: Data Curation and Reliability for LLM and GenAI Applications
|
|
Participated in
DataHour: Should I Use RAG or Fine-Tuning?
|
|
Participated in
DataHour: How to Customize and Evaluate Your LLMs
|
|
Participated in
DataHour: Natural Language to SQL Translation: The Challenges, Evolution and Future
|
|
Participated in
DataHour:LangChain 101
|
|
Participated in
DataHour: Building Generative AI Applications using Amazon Bedrock
|
|
Participated in
DataHour: Demystifying HugginFace, LlamaIndex, and LangChain
|
|
Participated in
DataHour: Enterprise Challenges with Generative AI and LLMs
|
|
Participated in
DataHour: ML Model Deployment: Best MLOps and GitOps Practices
|
|
Participated in
DataHour: Open-Source For Accelerating AI Development
|
|
Participated in
DataHour: Implementing Gen AI solutions with RAG Architecture
|
|
Participated in
DataHour: Predictive Analytics - Performance Estimation without the Target Data
|
|
Participated in
DataHour: Build Your Own Private ChatBot using GenAI- RAG
|
|
Participated in
DataHour: Relationship of ML and Statistics - Optimizing Algorithmic Functions
|
|
Participated in
DataHour: Natural Language to SQL: Analyzing Netflix Movies with LLMs
|
|
Participated in
DataHour: Search With ChatGPT: RAG and Semantic Search
|
|
Participated in
DataHour: Mastering Conversational AI: Building Question-Answer Bot with LLM and RAG
|
|
Participated in
DataHour: Creating Synthetic Data: An Easy Python Tutorial for Beginners
|
|
Participated in
DataHour: Interpreting Machine Learning Models with Python
|
|
Participated in
DataHour: Significance of Vector Databases in Gen AI
|
|
Participated in
DataHour: Model Explainability and Model Diagnosis
|
|
Participated in
DataHour: Large Language Models for India
|
|
Participated in
DataHour: Introduction to Convolutional Neural Networks
|
|
Participated in
DataHour: Visualizing Insights: Understanding Data Visualization Techniques
|
|
Participated in
DataHour: Creating Advanced & Large-Scale Recommendation System
|
|
Participated in
DataHour: Building a Simple LLM Application: ChatGPT Summarizer
|
|
Participated in
DataHour: Building Safe AI Experiences with Azure AI Content Safety
|
|
Participated in
DataHour: Fighting Customer Churn with Data Science, Analytics & Machine Learning
|
|
Participated in
DataHour: End-to-End Development: LLMOps and Azure AI for Generative Apps
|
|
Participated in
DataHour: Crafting and Implementing a GenAI Strategy with StratOps
|
|
Participated in
DataHour: ML Based Manufacturing Quality Inspection
|
|
Participated in
DataHour: Generative AI / LLMs using Databricks Data Intelligence Platform
|
|
Participated in
DataHour: Introduction to Time Series Analysis
|
|
Participated in
DataHour: Keeping LLMs Relevant: A Practical Guide to RAG and Fine-tuning
|
|
Participated in
DataHour: Navigating the Maze of A/B Testing Pitfalls in Business Decision Making
|
|
Participated in
DataHour: LLMOps - MLOps for Generative AI
|
|
Participated in
DataHour: Harnessing LLMs: Exploring Controllable Text Generation Without Fine-Tuning
|
|
Participated in
DataHour: Custom GPTs in Industry: Assessing GPT-4V
|
|
Participated in
DataHour: LLMs in Action: Crafting a Winning Product Strategy
|
|
Participated in
DataHour: Large Language Models- Evolution, Challenges and Way Forward
|
|
Participated in
DataHour: Multi-Modal RAG and Evaluation with LlamaIndex
|
|
Participated in
DataHour: NoSQL: Leveraging Large Language Models for Text2SQL
|
|
Participated in
DataHour: Optimizing LLMs with Retrieval Augmented Generation and Haystack 2.0
|
|
Participated in
DataHour: High Impact AI/ML Solutions by Effective Formulation
|
|
Participated in
DataHour: Democratising AI Deployment
|
|
Participated in
DataHour: LLM Training Tips & Tricks
|
|
Participated in
DataHour: MemeGPT: Fine-Tuning LLMs to Generate Memes
|
|
Participated in
DataHour: Current and Best Practices for LLM Evaluation
|
|
Participated in
DataHour: Medical-Chat Bot: The History of Our Attempt
|
|
Participated in
DataHour: Elevating Business Transformation: Leveraging Retrieval Augmented Generation (RAG)
|
|
Participated in
DataHour: Building Useful Applications with LLMs
|
|
Participated in
DataHour: Create a Language to SQL Translator with LLM
|
|
Participated in
DataHour: Overview of Latent Diffusion, Stable Diffusion 1.5, & Challenges with SD 1.5
|
|
Participated in
DataHour: Era of AI-Assisted Innovation
|
|
Participated in
DataHour: Production Stack for LLMs
|
|
Participated in
DataHour: Building Multi-Stage Reasoning Systems with LangChain
|
|
Participated in
DataHour: Securing LLM-Based Applications
|
|
Participated in
DataHour: BUILDING CHATBOTS USING LLM
|
|
Participated in
DataHour: The Generative AI, Good & Bad with Real World Examples
|
|
Participated in
DataHour: NLP Tasks Chaining with GenAI: How to Utilize Traditional NLP Knowledge in the World of LLMs?
|
|
Participated in
DataHour: LLMs and Foundational Models in Ads Personalization
|
|
Participated in
DataHour: Harnessing the Power of LLMs: A Deep Dive into Practical Solutions
|
|
Participated in
DataHour: Business Intelligence with Microsoft Power BI
|
|
Participated in
DataHour: Building Complex Systems Using ChatGPT
|
|
Participated in
DataHour: The Dangers of Dirty Data
|
|
Participated in
DataHour: Advanced Generative AI and Data Storytelling
|
|
Participated in
DataHour: The 3 Secrets to Giving a Great Data Presentation
|
|
Participated in
DataHour: Crash Course on Data Visualization with Power BI
|
|
Participated in
DataHour: Generative AI: The Responsible Path Forward
|
|
Participated in
DataHour: Chat With Your Data- Dive into GPT Langchain LLM Framework
|
|
Participated in
DataHour: Efficient Fine-Tuning of LLMs on single T4 GPU using Ludwig
|
|
Participated in
DataHour: From Text to Video: Unraveling the Power and Pitfalls of Generative AI
|
|
Participated in
DataHour: Unleashing Generative AI in Data Analytics
|
|
Participated in
DataHour: The Ethical Frontiers of Generative AI
|
|
Participated in
DataHour: Crafting Text-Based Conversations: Leveraging VertexAI, Langchain, and Streamlit
|
|
Participated in
DataHour: How to Build a Generative AI Application?
|
|
Participated in
DataHour: Applications of Data Science in Pricing
|
|
Participated in
DataHour: Explainable AI: Demystifying the Black Box Models
|
|
Participated in
DataHour: RAG to Reduce LLM Hallucination
|
|
Participated in
DataHour: Demystifying Computer Vision
|
|
Participated in
DataHour: Using Clinical Data Science to Improve Clinical Outcomes
|
|
Participated in
DataHour: How LLMs Can Be Used in Day-to-Day Developer Tasks
|
|
Participated in
DataHour: Azure Bot Services: Transforming Conversational AI for Enhanced Experiences
|
|
Participated in
DataHour: Supercharging LLM API Development with Fast API
|
|
Participated in
DataHour: The Future of Autonomous Systems and How Humans Fit In
|
|
Participated in
DataHour: Generative AI- Training Pipelines and Advanced Strategies
|
|
Participated in
DataHour: Era of Gen AI
|
|
Participated in
DataHour: Exploring Limitless Potential: Leveraging Retrieval Augmented Generations with LLMs
|
|
Participated in
DataHour: Master the Art of Prompting with Generative AI for Real-World Business Solutions
|
|
Participated in
DataHour: Diffusion Model Fundamentals and Various Applications
|
|
Participated in
DataHour: Exploring Extended Reality- Going Beyond the Basics
|
|
Participated in
DataHour: Exploring the Potential of Generative AI
|
|
Participated in
DataHour: Attention From Scratch
|
|
Participated in
DataHour: Mastering Sentiment Analysis through Generative AI: A Deep Dive
|
|
Participated in
DataHour: Dreambooth- Stable Diffusion for Custom Images
|
|
Participated in
DataHour: Training Your Own LLM Without Coding
|
|
Participated in
DataHour: Introduction of Microsoft Fabric
|
|
Participated in
DataHour: Application of Data Science in the world of FinTech
|
|
Participated in
DataHour: LLM Fine Tuning with PEFT Techniques
|
|
Participated in
DataHour: Cutting Edge Tricks of Applying Large Language Models
|
|
Participated in
DataHour: Evaluation of GenAI Models and Search Use Case
|
|
Participated in
DataHour: Building Large Language Models for Code
|
|
Participated in
DataHour: Quantum Computing Applications in Financial Industry
|
|
Participated in
DataHour: Practical Guide to Train Your Own Large Language Models
|
|
Participated in
DataHour: Using Langchain with LLM
|
|
Participated in
DataHour: Paying Attention to Attention - A Deep Dive into Attention Models
|
|
Participated in
DataHour: GEN AI - Image to Image Generation
|
|
Participated in
DataHour: Unlocking Language Model Potential - The Power of Prompt Engineering
|
|
Participated in
DataHour: Introduction to LLMs: An Interactive Workshop
|
|
Participated in
GANs- Explore the Boundaries of Generative Art
|
|
Participated in
LangChain in Action: Crafting Innovative LLM Powered Applications
|
|
Participated in
DataHour: Generative AI with LLMs
|
|
Participated in
DataHour: Building Trust, Ethics and Privacy in Generative AI & LLM
|
|
Participated in
DataHour: Fine Tuning Generative Models
|
|
Participated in
DataHour: Generative AI using Azure Open AI
|
|
Participated in
DataHour: Generative AI - Midjourney, Code Generation & Beyond
|
|
Participated in
DataHour: Reducing chatGPT Hallucinations by 80%
|
|
Participated in
DataHour: Building Bridges - The Art of Prompt Engineering
|
|
Participated in
DataHour: LlamaIndex - QA Systems with Private Data and Effective Evaluation
|
|
Participated in
DataHour: ChatGPT in Python for Beginners
|
|
Participated in
DataHour: An Overview of Generative AI
|
|
Participated in
DataHour: Generative AI and Large Language Models
|
|
Participated in
DataHour: Building an End to End Machine Learning Pipeline for Large Language Models (LLMs)
|
|
Participated in
#AVdatafest Xtreme ML Hack : Machine Learning Hackathon
|
|
Participated in
Data Science Interview Preparation Test
|
|
Participated in
#AVdatafest: The Strategic Thor
|
|
Participated in
#AVdatafest PowerTool: Python for Data Science
|
|
Participated in
Data Science Hackathon - Cross-sell: target the right customer
|
|
Participated in
#AVdatafest DATAHACK HOUR
|
|
Participated in
#AVdatafest PowerTool: R for Data Science
|
|
Participated in
Practice Problem: Skilltest - Machine Learning
|
|
Participated in
Click Prediction Hackathon
|
|
Participated in
#AVdatafest Webinar: Use of Analytics in Insurance Industry
|
|
Participated in
#AVdatafest PowerTool: SQL
|
|
Participated in
#AVdatafest Keynote Session: By Srikanth Velamakanni, Fractal Analytics
|
|
Participated in
#AVdatafest SkillPower: Machine Learning
|
|
Participated in
Practice Problem: Strategic Thinking II
|
|
Participated in
#AVdatafest SkillPower: Deep Learning
|
|
Participated in
Twitter Sentiment Analysis
|
|
Participated in
McKinsey Analytics Online Hackathon
|
|
Participated in
#AVdatafest The QuickSolver : Machine Learning Mini-Hack
|
