omkar firame

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About omkar firame

Member Since Feb. 25, 2019, 3:59 p.m.
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Participated in LTFS Data Science FinHack 3 and secured rank 349
Participated in LTFS Data Science FinHack ( ML Hackathon) and secured rank 322
Participated in India ML Hiring Hackathon 2019 and secured rank 244
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 Ripik.AI HackFest: Unleashing AI Potential
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 Query Domain Classification
Participated in AmExpert 2019 – Machine Learning Hackathon
Participated in ML Hikeathon (An Online Machine Learning Hackathon)
Participated in Loan Prediction
Participated in HR Analytics
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