#fine-tuning

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#machine-learning #model-performance #qdylora #language-models #hugging-face #transformers #gpt #pycharm
Artificial intelligence
fromThe JetBrains Blog
1 week ago

Fine-Tuning and Deploying GPT Models Using Hugging Face Transformers | The PyCharm Blog

Fine-tuning pre-trained GPT models customizes performance for domain-specific math tasks, improving accuracy and efficiency while reducing training time and resources.
fromInfoQ
2 weeks ago

Unsloth Tutorials Aim to Make it Easier to Compare and Fine-tune LLMs

Qwen3-Coder-480B-A35B delivers SOTA advancements in agentic coding and code tasks, matching or outperforming Claude Sonnet-4, GPT-4.1, and Kimi K2. The 480B model achieves a 61.8% on Aider Polygot and supports a 256K token context, extendable to 1M tokens.
Artificial intelligence
#qdylora
fromHackernoon
55 years ago
Artificial intelligence

The Last Rank We Need? QDyLoRA's Vision for the Future of LLM Tuning | HackerNoon

fromHackernoon
2 months ago
Artificial intelligence

Beyond Static Ranks: The Power of Dynamic Quantization in LLM Fine-Tuning | HackerNoon

fromHackernoon
55 years ago
Artificial intelligence

The Last Rank We Need? QDyLoRA's Vision for the Future of LLM Tuning | HackerNoon

fromHackernoon
2 months ago
Artificial intelligence

Beyond Static Ranks: The Power of Dynamic Quantization in LLM Fine-Tuning | HackerNoon

more#qdylora
Artificial intelligence
fromHackernoon
55 years ago

Keep the Channel, Change the Filter: A Smarter Way to Fine-Tune AI Models | HackerNoon

Efficient fine-tuning of large pre-trained models can be achieved by adjusting only filter atoms while preserving overall model capabilities.
fromLogRocket Blog
2 months ago

Fine-tuning vs. RAG: Which AI strategy fits your frontend project? - LogRocket Blog

Fine-tuning provides consistent and fast responses, but requires lengthy retraining for updates, while RAG offers instant updates but involves handling latency and interface challenges.
Artificial intelligence
Artificial intelligence
fromHackernoon
3 months ago

Comparing Chameleon AI to Leading Image-to-Text Models | HackerNoon

Chameleon was evaluated on image captioning and visual question-answering tasks against other leading models, focusing on maintaining the fidelity of pre-training data.
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