It is necessary to create an LLM that can provide information and learn.

Budget: 1300 USD Deadline: 7 days

Hello. I worked on a similar task — I created an AI model in a legal context where the AI treated each user request as part of a simulated court proceeding. The project implemented a priority of rules, the logic of their matching, the identification of violations based on the evidence base, and the generation of user behavior scenarios from a legal perspective.

I can create a system with priority logic (hierarchy of norms), loading codes, and adapting to question scenarios: how to write a statement, how to act in case of violations, how to challenge a decision, etc.

Budget: 1100 USD Deadline: 25 days

Hello, Viktor

I am a developer in the field of ML/DL & Bot Development. I am ready to complete your project. Write to me, and we will discuss.

Budget: 2000 USD Deadline: 1 day

Good afternoon, I am ready to complete this work on fine-tuning the LLM with the civil code and other rules you need. I haven't had such projects before, but the principle of LLM is the same; the main thing is to take the correct model as a basis.

Budget: 2500 USD Deadline: 20 days

Good day. I am ready to complete the task.
I have experience training LLM models.
My portfolio: Freelancehunt

I will develop the necessary LLM model. I will implement the required functionality.
I will set up the logic. If necessary, I will develop an interface for interaction with the model. I will optimize.

Write to me, we will discuss the details and I will start working.

Budget: 550 USD Deadline: 10 days

Hello, I will complete this work on enhancing the LLM with the civil code and other rules you need. Unfortunately, there haven't been any such projects, but the essence of the LLM is the same; the main thing is the higher quality of data processing and to take a correct model as a basis.

Budget: 48 USD Deadline: 1 day

Hello, Viktor
I had similar experience in projects, maybe I will be of help...

Budget: 600 USD Deadline: 10 days

Good afternoon. You just need to install a local model and fine-tune it. For example, Llama. This will be easier than creating a new LLM. But you need a server with 32 GB of memory. The most difficult part is proper training. Just providing data for reading might work, BUT, there is a chance that the model will forget part of the context. Therefore, you need to create a vector database and integrate it into the model.

Budget: 400 USD Deadline: 5 days

Hello!
I worked on a similar project.
I can show a demo.
I suggest implementing the project using low-code tools - n8n.