|
|
|
user: rasbt
created: 2014-06-06
karma: 1717
AI researcher and statistics professor
submissions:
|
|
|
0 points |
0 comments
|
|
|
Show HN: New LLM Pre-Training and Post-Training Paradigms
|
|
2 points |
0 comments
|
|
|
|
|
0 points |
0 comments
|
|
|
|
|
0 points |
0 comments
|
|
|
|
|
0 points |
0 comments
|
|
|
|
|
0 points |
0 comments
|
|
|
|
|
0 points |
0 comments
|
|
|
Developing an LLM: Building, Training, Finetuning (A 1h Video Explainer)
|
|
43 points |
12 comments
|
|
|
Evaluating LLMs locally, on a laptop, with Llama 3 and Ollama
|
|
2 points |
0 comments
|
|
|
Understanding the LLM Development Cycle: Building, Training, Finetuning
|
|
3 points |
0 comments
|
|
|
The latest major open LLM releases: Mixtral, Llama 3, Phi-3, and OpenELM
|
|
5 points |
0 comments
|
|
|
Finetuning an LLM-Based Spam Classifier with LoRA from Scratch
|
|
14 points |
0 comments
|
|
|
Finetune a GPT Model for Spam Detection on Your Laptop in Just 5 Minutes
|
|
3 points |
0 comments
|
|
|
Insights from Finetuning LLMs for Classification Tasks
|
|
2 points |
0 comments
|
|
|
Tips for LLM Pretraining and Evaluating Reward Models
|
|
2 points |
0 comments
|
|
|
|
|
0 points |
0 comments
|
|
|
Comparing 5 ways to implement Multihead Attention in PyTorch
|
|
3 points |
0 comments
|
|
|
AI Research in Feb 2024 – LoRA Successor, "Small" LLMs, Transparent LLM Research
|
|
3 points |
0 comments
|
|
|
|
|
0 points |
0 comments
|
|
|
|
|
0 points |
0 comments
|
|
|
|
|
0 points |
0 comments
|
|
|
|
|
0 points |
0 comments
|
|
|
Understanding, using, and finetuning Gemma
|
|
118 points |
48 comments
|
|
|
|
|
0 points |
0 comments
|
|
|
|
|
0 points |
0 comments
|
|
|
|