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Understanding Multimodal LLMs (sebastianraschka.com)
2 points by lapnect 23 days ago | past
Understanding Multimodal LLMs: The Main Techniques and Latest Models (sebastianraschka.com)
4 points by sbbq 24 days ago | past
Building a GPT-Style LLM Classifier from Scratch (sebastianraschka.com)
2 points by mdp2021 67 days ago | past
Building LLMs from the Ground Up: A 3-Hour Coding Workshop (sebastianraschka.com)
970 points by mdp2021 87 days ago | past | 136 comments
Show HN: New LLM Pre-Training and Post-Training Paradigms (sebastianraschka.com)
2 points by rasbt 3 months ago | past
New LLM Pre-Training and Post-Training Paradigms: How Modern LLMs Are Trained (sebastianraschka.com)
5 points by sbbq 3 months ago | past
Developing an LLM: Building, Training, Finetuning (sebastianraschka.com)
1 point by Anon84 5 months ago | past
Understanding the LLM Development Cycle: Building, Training, Finetuning (sebastianraschka.com)
3 points by rasbt 5 months ago | past
The latest major open LLM releases: Mixtral, Llama 3, Phi-3, and OpenELM (sebastianraschka.com)
5 points by rasbt 6 months ago | past
Tips for LLM Pretraining and Evaluating Reward Models (sebastianraschka.com)
2 points by sbbq 7 months ago | past
Tips for LLM Pretraining and Evaluating Reward Models (sebastianraschka.com)
2 points by tosh 8 months ago | past
Tips for LLM Pretraining and Evaluating Reward Models (sebastianraschka.com)
1 point by Anon84 8 months ago | past
Tips for LLM Pretraining and Evaluating Reward Models (sebastianraschka.com)
2 points by rasbt 8 months ago | past
AI Research in Feb 2024 – LoRA Successor, "Small" LLMs, Transparent LLM Research (sebastianraschka.com)
3 points by rasbt 8 months ago | past
Implementing Weight-Decomposed Low-Rank Adaptation (DoRA) from Scratch (sebastianraschka.com)
96 points by rasbt 9 months ago | past | 10 comments
AI Research Papers in Jan 2024: Model Merging, Mixtures of Experts, Smaller LLMs (sebastianraschka.com)
20 points by rasbt 9 months ago | past
Naive Bayes and Text Classification I – Introduction and Theory (2014) (sebastianraschka.com)
2 points by vikrum 10 months ago | past
Coding Self-Attention, Multi-Head Attention, Cross-Attention, Causal-Attention (sebastianraschka.com)
142 points by rasbt 10 months ago | past | 11 comments
Ten Noteworthy AI Research Papers of 2023 (sebastianraschka.com)
128 points by danboarder 10 months ago | past | 19 comments
Noteworthy AI Research Papers of 2023 (sebastianraschka.com)
3 points by rasbt 11 months ago | past
Ten Noteworthy AI Research Papers of 2023 (sebastianraschka.com)
9 points by lucasus 11 months ago | past
Research Papers in November 2023 (sebastianraschka.com)
1 point by Anon84 11 months ago | past
AI Research Papers in November 2023: hallucinations and reasoning capabilities (sebastianraschka.com)
5 points by rasbt 11 months ago | past
Practical Tips for Finetuning LLMs Using LoRA (Low-Rank Adaptation) (sebastianraschka.com)
342 points by rasbt on Nov 19, 2023 | past | 27 comments
Why would a famous former university ML professor make his posts paywalled? (sebastianraschka.com)
7 points by behnamoh on Nov 6, 2023 | past | 1 comment
AI and Open Source in 2023 (sebastianraschka.com)
123 points by belter on Nov 4, 2023 | past | 67 comments
AI Research Papers (October 2023) (sebastianraschka.com)
5 points by rasbt on Nov 4, 2023 | past
AI and Open Source in 2023: A Review of the Year's Highs and Lows (sebastianraschka.com)
2 points by rasbt on Oct 23, 2023 | past
AI chips, acquisitions, new "small" open-source LLMs, and new LoRA techniques (sebastianraschka.com)
5 points by rasbt on Oct 9, 2023 | past
AI news editorial from custom AI chips to new "small" LLMs like phi and Mistral (sebastianraschka.com)
1 point by rasbt on Oct 8, 2023 | past

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