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SU
Susan Burton
Asked on 12-10-2026

What are the common pitfalls in data preprocessing for LLMs?

I feel like my model is performing poorly because of my data. What are the most common mistakes people make when cleaning and preprocessing their datasets for LLM training? Are things like removing pu...
New Technologies
176 views
7 votes
CO
Connor Pierce
Asked on 12-10-2026

What is the best way to format a dataset for instruction tuning?

I am preparing a dataset for an instruction-tuned model, but I keep seeing different formats like ChatML or Alpaca. Does it really matter which format I use, or is it just about the quality of the Q&A...
New Technologies
256 views
10 votes
PA
Paige Fisher
Asked on 12-10-2026

How do I avoid the model 'forgetting' its instructions?

My model is perfect for the first three turns, but after that, it seems to drift and start ignoring the system prompt I provided. Is this something that can be fixed during the fine-tuning phase? How ...
New Technologies
164 views
0 votes
GA
Gagan Mathew
Asked on 12-10-2026

What causes my model to hallucinate more after fine-tuning?

I noticed that after fine-tuning my model on a technical manual, it actually started hallucinating more frequently than the base model. It seems like it is trying so hard to follow the style of my dat...
New Technologies
321 views
8 votes
TE
Tejaswi Tipparti
Asked on 12-10-2026

How do I maintain data consistency throughout the training process?

I have multiple people contributing to my dataset, and the formatting is starting to look inconsistent. How do I enforce a standard data format across a team? Are there any tools or validation scripts...
New Technologies
306 views
3 votes
KA
Katie Stanley
Asked on 12-10-2026

Do I need to worry about bias in my training dataset?

I am creating a dataset from public forum data, but I am worried about inheriting all the biases present in that content. How do I audit my dataset for bias before starting the fine-tuning process? Is...
New Technologies
210 views
8 votes
MI
Miguel Gilbert
Asked on 12-10-2026

What should I look for in a dataset quality assessment?

Before I dump a bunch of documents into my training pipeline, I want to audit them. What are the key indicators of a 'high-quality' training set? Is it about diversity, formatting, or the correctness ...
New Technologies
299 views
1 votes
PA
Paige Fisher
Asked on 12-10-2026

Can I use cloud GPUs effectively for fine-tuning?

I am looking at various cloud GPU providers to run my fine-tuning jobs. Is there anything I should specifically look for in terms of storage speed or networking? Sometimes it feels like I spend more t...
New Technologies
152 views
7 votes
BA
Bachittar Dawangave
Asked on 12-10-2026

How do I track and version my fine-tuning experiments?

I am currently using a mix of Excel sheets and folder names like 'model_v2_final_final' to track my training runs, and it is becoming a nightmare. Is there a standard tool or framework that profession...
New Technologies
184 views
1 votes
SU
Susan Burton
Asked on 12-10-2026

What are the legal considerations when training models on proprietary data?

I work for a firm where we want to fine-tune an LLM on our internal client communications. I am very concerned about data leakage and IP ownership. If we use a service to train the model, who owns the...
New Technologies
316 views
12 votes

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