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You will get Custom ChatGPT API Solutions Tailored for Your Business

Francisco D.Status: Offline
Francisco D. Francisco D.
5.0
Preview image

Let a pro handle the details

Buy Generative AI services from Francisco, priced and ready to go.
Francisco D.Status: Offline
Francisco D. Francisco D.
5.0
Preview image

Let a pro handle the details

Buy Generative AI services from Francisco, priced and ready to go.

Project details

I offer professional ChatGPT API integration services, enabling you to build custom AI solutions tailored to your business needs. From creating intelligent chatbots to integrating AI capabilities into your application, I ensure seamless and scalable solutions.

🚀 Services for AI Integration:
✅ Custom ChatGPT API integration for GPT-3.5 & GPT-4 models
✅ Fine-tuning and prompt engineering for optimized results
✅ Advanced chatbot development for enhanced customer support
✅ Integration with existing tools and platforms
✅ Long-term maintenance and support

✨ Things to keep in mind:
📱 Let's connect via chat or a quick call before starting the project to align on your requirements.
💲 Additional development or customization for AI features is billed at $30/hour.
AI Algorithms
Autoencoder, Multimodal Large Language Model, Transformer Model
AI Applications
AI Chatbot, AI Content Creation, AI Mobile App Development, AI Text-to-Image, AI Text-to-Speech, AI-Enhanced Classification, AI-Enhanced Medical Imaging, AI-Generated Art, AI-Generated Code, AI-Generated Music, AI-Generated Video, Conversational AI
AI Development Language
Python
AI Models
ChatGPT, GPT-3, GPT-4, GPT-J, GPT-Neo, LLaMA, OpenAI Codex

What's included $50

These options are included with the project scope.

$50
  • Delivery Time 2 days
  • Number of Revisions 4
    • AI Model Integration
    • Batch Normalization
    • Database Integration
    • Detailed Code Comments
    • Image Upscaling
    • MLOps
    • Model Deployment
    • Model Documentation
    • Model Monitoring
    • Model Testing & Optimization
    • Model Tuning
    • Natural Language Processing
    • NLP Tokenization
    • Pre-Training
    • Prompt Engineering
    • Setup File
    • Source Code
5.0
2 reviews
100% Complete
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1% Complete
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HJ

Hiroe J.
5.00
Dec 21, 2024
Research Study - Call for software project ideas

AY

Anush Y.
5.00
Dec 2, 2024
Senior Spark Engineer | Trainer/Code Reviewer For LLM Data Training
Francisco D.Status: Offline

About Francisco

Francisco D.Status: Offline
Data Engineer & Data Science Expert
67% Job Success
5.0  (2 reviews)
Recife, Brazil - 9:16 pm local time
Senior Data Engineer with 12+ Years of Experience. I have been working with Fortune 500 companies like General Electric (GE) and Johnson & Johnson (JnJ).

I bring a wealth of expertise in designing, building, and optimizing data infrastructures. I specialize in developing machine learning models and working with large language models (LLMs) to empower organizations to make data-driven decisions.

Core Competencies:

• Data Pipeline Development: Expertise in building robust ETL/ELT processes using tools like Apache Airflow, NiFi, and custom scripting.
• Machine Learning & AI: Skilled in developing and deploying machine learning models using TensorFlow, PyTorch, and scikit-learn for predictive analytics, classification, and clustering.
• Large Language Models (LLMs): Proficient in leveraging models like GPT-3 and BERT for natural language processing tasks such as text generation, summarization, and sentiment analysis.
• Big Data Technologies: Proficient in Hadoop, Spark, Kafka, and Hive for large-scale data processing and real-time analytics.
• Cloud Platforms: Skilled in AWS (Redshift, S3, EMR, SageMaker), Azure (Data Factory, Synapse, Machine Learning), and Google Cloud (BigQuery, Dataflow, AI Platform).
• Database Management: Extensive experience with SQL and NoSQL databases including PostgreSQL, MySQL, MongoDB, and Cassandra.
• Programming Languages: Proficient in Python, Java, Scala, and R for data manipulation, machine learning, and automation.
• Data Warehousing: Designing and implementing data warehouses and data lakes to support BI, analytics, and AI workloads.
• Data Modeling: Strong skills in dimensional modeling and schema design to optimize performance.
• DevOps Practices: Familiar with CI/CD pipelines, Docker, Kubernetes, and version control systems like Git.


Steps for completing your project

After purchasing the project, send requirements so Francisco can start the project.

Delivery time starts when Francisco receives requirements from you.

Francisco works on your project following the steps below.

Revisions may occur after the delivery date.

Define the project requirements and scope

Review the work, release payment, and leave feedback to Francisco.