You will get InfoExt: A Qna system using OpenAI's GPT-3.5, LLM & vector databases
Project details
Our project stands out due to its integration of OpenAI's GPT-3.5, LLLM, and vector databases, delivering accurate and customizable answers. Clients gain efficient decision-making tools, time savings, enhanced productivity, and an adaptable system for continuous improvement in i
In essence, our project is a testament to innovation and synergy. It's where AI prowess meets client empowerment, and where technology doesn't just provide solutions, but molds itself to enhance the very essence of decision-making and operational efficiency, nformation retrieval and response quality.
In essence, our project is a testament to innovation and synergy. It's where AI prowess meets client empowerment, and where technology doesn't just provide solutions, but molds itself to enhance the very essence of decision-making and operational efficiency, nformation retrieval and response quality.
Machine Learning Tools
Amazon SageMaker, ChatGPT, fastText, GPT-3, Python, Python Scikit-Learn, PyTorchWhat's included
| Service Tiers |
Starter
$4,000
|
Standard
$7,000
|
Advanced
$9,500
|
|---|---|---|---|
| Delivery Time | 25 days | 50 days | 67 days |
Number of Revisions | 0 | 0 | 0 |
Model Validation/Testing | - | ||
Model Documentation | - | ||
Data Source Connectivity | - | - | |
Source Code |
About Sunny
Lead Machine learning engineer
banglore , India - 5:32 am local time
I am an experienced AI professional, data scientist, and machine learning engineer with expertise in distributed computing. With a passion for helping businesses harness the power of AI, I am dedicated to providing top-notch AI consulting services to organizations of all sizes.
My services include:
AI strategy development - I work with businesses to create an effective AI strategy that aligns with their goals and objectives.
AI implementation - I provide hands-on support for implementing AI solutions, utilizing my expertise in machine learning engineering and distributed computing to ensure optimal performance. I have extensive experience working with Databricks, PySpark, and other cutting-edge tools.
AI-powered data analysis - I use advanced AI algorithms to extract insights from data, providing businesses with the information they need to make informed decisions.
AI maintenance and support - I offer ongoing support to ensure that AI solutions are running smoothly and delivering the results clients need. I also provide deployment services to help clients get their solutions up and running quickly and effectively.
With a strong background in multiple industries, including healthcare, finance, e-commerce, and manufacturing, I bring a wealth of experience to every project I work on. I am dedicated to providing my clients with the highest level of service and expertise, and I am confident that you will be satisfied with the results I deliver.
If you're looking to take your business to the next level with AI, please don't hesitate to contact me to schedule a consultation. I look forward to working with you!"
With 3.5 years of experience working as machine learning engineer with a good understanding of Data science technology stack, Data Structures and Algorithms, Relational/Non-Databases, Networking, Core Computer Science.
Skills :
Creating data pipelines, to extract the data, and process the data and modeling for training a model.
Data pre-processing, data cleaning, feature engineering, EDA, Statistics, ML Algorithms and Automation.
Web Scraping using selenium, beautifulsoup etc.
Worked on NLP use cases extracted information from unstructured data using Spacy, NLTK,
Worked on deep learning techniques like CNN, RNN, LSTM ,GRU.
Classification and Regression Techniques.
Model deployment using REST API, Azure functions, Logic Apps, MLops
Technologies:
Languages : Python(Machine learning, Deep Learning), pyspark, C, C++, Java.
Databases : Azure SQL server, cosmos DB, Mongo DB, Redis, Azure Blob storage.
Deployment/Cloud : Azure Ml Services, Azure ML studio, Azure Datalake, Azure Data Factory, Airbnb Airflow, Azure Keyvault, Azure Active Directory, Databricks, Nginx, Fast API, Flask API, Django, VM Linux/Windows.
APIs : Azure congnitive services, Azure congnitive search, Google custom search, Elastic search, Azure bot framework, Azure Qna maker, Version control (git).
Steps for completing your project
After purchasing the project, send requirements so Sunny can start the project.
Delivery time starts when Sunny receives requirements from you.
Sunny works on your project following the steps below.
Revisions may occur after the delivery date.
Phase 1: Foundation and Integration
This stage will be a discussion based on client requirements
Phase 2: Customization and User Experience Enhancement
This stage is more related to client requirements on any customization and initial qa