You will get a finetuned LLM for your use case | Llama | Mistral | Falcon


Project details
We possess extensive expertise in finetuning Large Language Models (LLMs) and seamlessly deploying them into production. Having successfully worked on over 50 different models, we are well-equipped to offer a customized and optimal solution tailored specifically to your unique requirements.
Our commitment to transparency is integral to our approach. Throughout the entire process, we prioritize keeping you informed at every step, ensuring a collaborative and communicative partnership.
Our commitment to transparency is integral to our approach. Throughout the entire process, we prioritize keeping you informed at every step, ensuring a collaborative and communicative partnership.
AI Algorithms
Autoencoder, Convolutional Neural Network, Feedforward Neural Network, Generative Adversarial Network, Large Language Model, Long Short-Term Memory Network, Multilayer Perceptron, Multimodal Large Language Model, Transformer ModelAI Applications
AI Text-to-Image, AI-Generated Code, AIOps, Machine Translation, Natural Language Generation, Natural Language Understanding, Neural Machine Translation, Neural Style Transfer, Sentiment Analysis, Sequence Modeling, Speech Synthesis, Synthetic Data GenerationAI Development Language
PythonAI Tools
Azure OpenAI, Bing AI, GitHub Copilot, Gradio, Hugging Face, NVIDIA AI Platform, PyTorch, Streamlit, TensorFlow, Word2vecAI Models
AlphaCode, BERT, BLOOM, ChatGPT, Dolly, GPT-4, GPT-Neo, LLaMA, Naive Bayes Classifier, Stable Diffusion, WhisperWhat's included
| Service Tiers |
Starter
$50
|
Standard
$3,000
|
Advanced
$5,000
|
|---|---|---|---|
| Delivery Time | 1 day | 5 days | 10 days |
Number of Revisions | 1 | 2 | 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.
Additional Revision
+$100About Adithya S
Generative AI | LLMs | Finetuning | Stable Diffusion | Cloud | RAG
Bengaluru, India - 4:18 am local time
Steps for completing your project
After purchasing the project, send requirements so Adithya S can start the project.
Delivery time starts when Adithya S receives requirements from you.
Adithya S works on your project following the steps below.
Revisions may occur after the delivery date.
Understanding Use Case and Requirements
Define Objectives: Clearly outline the problem you are trying to solve and the goals of your machine learning model. Gather Requirements: Understand the specific features and functionalities required by stakeholders.
Setting up a Data Strategy
Data Collection: Decide how to gather data – whether it's through synthetic generation, formatting existing data, or web scraping. Ensure data quality and relevance.

