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 codingrelic.geekhold.com
Coding Relic: Training Gemma3-270m for German Q-and-A
| | github.com
GitHub - unslothai/unsloth: Fine-tuning & Reinforcement Learning for LLMs. ?? Train OpenAI gpt-oss, DeepSeek-R1, Qwen3, Gemma 3, TTS 2x faster with 70% less VRAM.
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| | Fine-tuning & Reinforcement Learning for LLMs. ?? Train OpenAI gpt-oss, DeepSeek-R1, Qwen3, Gemma 3, TTS 2x faster with 70% less VRAM. - unslothai/unsloth
| | www.philschmid.de
Extended Guide: Instruction-tune Llama 2
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| | This blog post is an extended guide on instruction-tuning Llama 2 from Meta AI
| | shekhargulati.com
Building a Bulletproof Prompt Injection Detector using SetFit with Just 32 Examples - Shekhar Gulati
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| | In my previous post we built Prompt Injection Detector by training a LogisticRegression classifier on embeddings of SPML Chatbot Prompt Injection Dataset. Today, we will look at how we can fine-tune an embedding model and then use LogisticRegression classifier. I learnt this technique from Chatper 11 of Hands-On Large Language Models book. I am enjoying...
| | swethatanamala.github.io
NLP - Summary of Sequence to Sequence with Neural Networks ยท Swetha's Blog
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| The authors developed a straightforward application of the Long Short-Term Memory (LSTM) architecture which can solve English to French translation.