You will get Learning LLMs through LoRA - without fine-tuning your model itself.
You will get Learning LLMs through LoRA - without fine-tuning your model itself.
Project details
My project is distinguished by my practical experience in training models with LoRA (and not only that - regular fine-tuning, prefix fine-tuning, etc.). This gives me an understanding of the cases in which training with LoRA might be ineffective, and in which it is most likely to improve the performance of your model.
AI Development Type
Deep Learning, Model TuningAI Tools
PyTorchAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$100
|
Standard
$300
|
Advanced
$3,000
|
|---|---|---|---|
| Delivery Time | 3 days | 15 days | 30 days |
Number of Revisions | 0 | 2 | 3 |
AI Model Integration | - | - | - |
Detailed Code Comments | |||
Knowledge Graph | - | - | - |
Model Documentation | - | - | - |
Ontology | - | - | - |
Source Code | |||
Taxonomy | - | - | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$50 - $1,000
Additional Revision
+$100About Vladlen
Artificial Intelligence & Machine Learning Specialist
Netanya, Israel - 9:29 am local time
* Artificial Intelligence (ML, DL, NLP, LLMs) and Data Science specialist with:
- 6 years of experience, specifically in AI, DS business consulting, and
- AI researcher experience focused on studying and testing Large Language Models (LLMs).
* Proficient in a variety of programming languages and AI tools, and with Data Science knowledge and a deeper understanding of business processes, I offer valuable insights and solutions that can significantly contribute to any organization's AI efforts.
* I have well-developed intuition, strong analytical skills, and extensive background knowledge in various areas of AI and DS.
* I learn quickly and can study any specialized AI topic to a very high level within a couple of months.
* I also have 10+ years of leadership and management experience.
SKILLS
• Areas of Expertise: Large Language Models (LLMs), Natural Language Processing (NLP), Machine learning (ML), Deep Learning (DL), and knowledge in Computer Vision (CV) and Reinforcement Learning (RL).
• Technical Tools and Libraries: Python, scikit-learn, NumPy, Pandas, as well as other common tools (Docker, Git, etc.) and ML, LLMs-specific tools and libraries (Hugging Face, CatBoost, LangChain, LlamaIndex , etc.).
• Programming Languages: Python, and others not currently in active use: C#, Erlang, JS, Haskell, C.
• Analytical Abilities: Strong problem-solving skills, excellent analytical abilities, and deep intuition, especially in handling large complex systems (both business and technical, like LLMs).
• Professional Traits: Quick learner, effective team player and leader, AI research enthusiast.
• Critical Thinking Skills: Keen eye for errors in AI publications, both intentional and accidental.
Steps for completing your project
After purchasing the project, send requirements so Vladlen can start the project.
Delivery time starts when Vladlen receives requirements from you.
Vladlen works on your project following the steps below.
Revisions may occur after the delivery date.
Which model, task, and dataset will be used?
In the first phase, we will discuss: A) Which model we will apply LoRA to, B) For what specific task, and C) How large the dataset is. These questions need to be discussed before starting work, as there are certain limitations.