Hi, thank you for the video. I have a question regarding using multiple schemas. For example, in an employee database, we might have multiple collections such as a Department table and an Employee Information table. If I ask a question related to the department, will it only consider the schema of the Department table? Also, will it be able to handle joins between two tables and return a query that includes both? Please clarify. Note that My DB is unstructured
Not all of us have computers with NVIDIA GPUs capable of running LLMs. Can you please make a guide on how to run LLMs on the cloud at the cheapest possible costs? If we can pay only for CPU hours used would be great. THank you Fahd!
I also don't have a GPU. As mentioned in the video clearly that I am renting GPU very cheaply from the cloud. Link to that rental is also in video description.
Hello Fahd, thank you for the great explanation. As far as I understand now for the own dataset you have to have structured data with schema. But what about unstructured textes - technical, economics, law literature and statements? Can you feed your dataset with them? Is it possible only via prompt with small portions without any deep integration?
Thank You. A good exercise in 'fine-tuning' with our own corporate data ... using Ollama ...
You are welcome!
I have raw text which i have parsed from pdfs , i want to create a dataset from that txt so that i can train model locally ,
Hi, thank you for the video. I have a question regarding using multiple schemas. For example, in an employee database, we might have multiple collections such as a Department table and an Employee Information table. If I ask a question related to the department, will it only consider the schema of the Department table? Also, will it be able to handle joins between two tables and return a query that includes both? Please clarify. Note that My DB is unstructured
I already have few videos around it, please search the channel, thanks.
Not all of us have computers with NVIDIA GPUs capable of running LLMs.
Can you please make a guide on how to run LLMs on the cloud at the cheapest possible costs?
If we can pay only for CPU hours used would be great.
THank you Fahd!
I also don't have a GPU. As mentioned in the video clearly that I am renting GPU very cheaply from the cloud. Link to that rental is also in video description.
@fahdmirza
Could you tell me your old video that teach how to rent a cloud GPU step by step?
Hello Fahd, thank you for the great explanation. As far as I understand now for the own dataset you have to have structured data with schema. But what about unstructured textes - technical, economics, law literature and statements? Can you feed your dataset with them? Is it possible only via prompt with small portions without any deep integration?
I want to create dataset for e-commerce products
Building datasets is crucial for any AI project. SmythOS simplifies the process with its robust AI support and integrations. #AI #SmythOS