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External Tag: fine tuning

Top 10 Research Papers on GenAI

External Tags Development, fine tuning, GenAI, generative-ai, Intermediate, language models, Listicle, Natural Language, research, research papers, Training

Phi-2 Unleashed: Language Models with Compact Brilliance

External Tags artificial-intelligence, efficiency, fine tuning, language models, machine-learning, Microsoft, Models, News, reinforcement-learning, research

Fine-tune Better Chat Models with Distilled Identity Preference Optimization (IPO)

External Tags artificial-intelligence, data-science, fine tuning, machine-learning, programming

Efficient Model Fine-Tuning with Bottleneck Adapter

External Tags deep learning, fine tuning, hands-on-tutorials, LLM, Transformers

Fine-tune Whisper models on Amazon SageMaker with LoRA

External Tags Advanced (300), Amazon SageMaker, ASR, fine tuning, generative-ai, Technical How-to

The LLM Revolution: Transforming Language Models

External Tags Advanced, architecture, DataHour Article, fine tuning, language models, large-language-models, LLM, LLM training, LLMs, LoRA, Ludwig, Models, parametric efficient fine tuning, QLoRA, Training

From GPT to Mistral-7B: The Exciting Leap Forward in AI Conversations

External Tags artificial-intelligence, Beginner, blogathon, data-science, fine tuning, generative-ai, google-colab, language models, LLMs, machine-learning, Models

Mistral 7B: Recipes for Fine-tuning and Quantization on Your Computer

External Tags data-science, fine tuning, large-language-models, machine-learning, programming

Harnessing NLP Superpowers: A Step-by-Step Hugging Face Fine Tuning Tutorial

External Tags Beginner, deep learning, fine tuning, hugging face, machine-learning, Models, nlp, pytorch, T5, Training

Evaluation of GenAI Models and Search Use Case

External Tags ai, AI models, ai-use-cases, artificial-intelligence, DataHour Article, Embedding, evaluation of LLMs, fine tuning, generative AI model, generative-ai, language models, large-language-models, LLMs, Model Deployment, Models, nlp, prompt-engineering