You will get a train or finetune llama, Llama 3.1 with Pytorch and HuggingFace
Project details
You will get a fine tune Llama model using your custom data. It can be deploy for several use cases such as question answering, sentiment analysis, and much more.
AI Algorithms
Autoencoder, Convolutional Neural Network, Large Language Model, Long Short-Term Memory Network, Multimodal Large Language Model, Recurrent Neural Network, Transformer ModelAI Applications
AI Chatbot, AI Content Creation, AI-Enhanced Classification, Conversational AI, Natural Language Generation, Natural Language Understanding, Neural Machine Translation, Sentiment Analysis, Sequence Modeling, Text RecognitionAI Development Language
PythonAI Tools
Gradio, Hugging Face, PyTorch, Streamlit, TensorFlow, Word2vecAI Models
BERT, ChatGPT, GPT-4, LLaMAWhat's included
| Service Tiers |
Starter
$100
|
Standard
$120
|
Advanced
$180
|
|---|---|---|---|
| Delivery Time | 3 days | 7 days | 13 days |
Number of Revisions | 2 | 4 | 5 |
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 |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$40 - $100
Gradio App creation
(+ 2 Days)
+$100
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About Manuel Alejandro
Machine Learning & Deep Learning Expert - LLMs-NLP-Transformers
100%
Job Success
Bogota, Colombia - 7:24 am local time
I am proficient in programming languages such as Python, R, and SQL, which I use to develop and implement sophisticated algorithms for data analysis and predictive modeling. My experience extends to utilizing frameworks like PyTorch and TensorFlow to build and optimize neural networks, including CNNs and RNNs.
I have a strong background in Big Data tools, including Apache Spark and Apache Hadoop, which I leverage to process and analyze large datasets efficiently. Additionally, I am skilled in using Hugging Face tools, such as Transformers, to enhance natural language processing capabilities.
Currently, I maintain a robust development stack that supports high-performance AI solutions tailored to diverse industry needs. This stack includes:
Programming Languages:
• Python, R, SQL
Machine Learning & AI Frameworks:
• TensorFlow, PyTorch
• Hugging Face Transformers
Neural Networks:
• Convolutional Neural Networks (CNNs)
• Recurrent Neural Networks (RNNs)
• Generative Adversarial Networks (GANs)
• Large Language Models (LLMs)
Big Data Tools:
• Apache Spark, Apache Hadoop
DevOps & Cloud Platforms:
• Docker, Kubernetes
• AWS, Google Cloud
Data Management:
• Databases: MySQL, PostgreSQL
API Development:
• RESTful APIs: Flask, FastAPI
Research & Development:
• AI model optimization and deployment
• Knowledge Graph construction and querying
• Innovative applications of GANs and LLMs
Steps for completing your project
After purchasing the project, send requirements so Manuel Alejandro can start the project.
Delivery time starts when Manuel Alejandro receives requirements from you.
Manuel Alejandro works on your project following the steps below.
Revisions may occur after the delivery date.
gather relevant data
the first step is to be sure we have the enough and sufficient data for the fine tune process
create model pipeline
the second step is to create the model pipeline that treats and integrates the different frameworks and data, to start the training process.