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๐Ÿ“š Small Language Models: Using 3.8B Phi-3 and 8B Llama-3 Models on a PC and Raspberry Pi


๐Ÿ’ก Newskategorie: AI Nachrichten
๐Ÿ”— Quelle: towardsdatascience.com

Testing the models with LlamaCpp and ONNX

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๐Ÿ“Œ Small Language Models: Using 3.8B Phi-3 and 8B Llama-3 Models on a PC and Raspberry Pi


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๐Ÿ“Œ This AI Research from China Introduces LLaVA-Phi: A Vision Language Assistant Developed Using the Compact Language Model Phi-2


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๐Ÿ“Œ Llama 2 to Llama 3: Metaโ€™s Leap in Open-Source Language Models


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๐Ÿ“Œ Llama 2 to Llama 3: Metaโ€™s Leap in Open-Source Language Models


๐Ÿ“ˆ 44.53 Punkte

๐Ÿ“Œ Microsoft Releases Phi-2, a Small LLM That Outperforms Llama 2 and Mistral 7B


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๐Ÿ“Œ Llama-2 vs. Llama-3: a Tic-Tac-Toe Battle Between Models


๐Ÿ“ˆ 36.75 Punkte

๐Ÿ“Œ Meet LLama.cpp: An Open-Source Machine Learning Library to Run the LLaMA Model Using 4-bit Integer Quantization on a MacBook


๐Ÿ“ˆ 34.91 Punkte

๐Ÿ“Œ Microsoft to ship Phi Silica small language model (SLM) as part of Windows to power GenAIย apps


๐Ÿ“ˆ 34.23 Punkte

๐Ÿ“Œ Phi Silica, the latest small language model announced by Microsoft


๐Ÿ“ˆ 34.23 Punkte

๐Ÿ“Œ Microsoft Phi-2: Small Language Modell soll auftrumpfen


๐Ÿ“ˆ 34.23 Punkte

๐Ÿ“Œ Phi-2, Imagen-2, Optimus-Gen-2: Small New Models to Change the World?


๐Ÿ“ˆ 32.88 Punkte

๐Ÿ“Œ Small but Mighty: The Role of Small Language Models in Artificial Intelligence AI Advancement


๐Ÿ“ˆ 32.22 Punkte

๐Ÿ“Œ Small But Mightyโ€Šโ€”โ€ŠThe Rise of Small Language Models


๐Ÿ“ˆ 32.22 Punkte

๐Ÿ“Œ Meet TinyLlama: An Open-Source Small-Scale Language Model that Pretrainย aย 1.1B Llama Model on 3 Trillion Tokens


๐Ÿ“ˆ 31.94 Punkte

๐Ÿ“Œ Microsoft AI Releases Phi-3 Family of Models: A 3.8B Parameter Language Model Trained on 3.3T Tokens Locally on Your Phone


๐Ÿ“ˆ 31.66 Punkte

๐Ÿ“Œ Tensoic AI Releases Kan-Llama: A 7B Llama-2 LoRA PreTrained and FineTuned on โ€˜Kannadaโ€™ Tokens


๐Ÿ“ˆ 31.18 Punkte

๐Ÿ“Œ Why do small language models underperform? Studying Language Model Saturation via the Softmax Bottleneck


๐Ÿ“ˆ 31 Punkte

๐Ÿ“Œ Code Llama: Ein Llama lernt programmieren


๐Ÿ“ˆ 30.31 Punkte

๐Ÿ“Œ Codestral, Mistral AIโ€™s new code model, is better than Llama 3 70B & Code Llama 70B


๐Ÿ“ˆ 30.31 Punkte

๐Ÿ“Œ Microsoft introduces Phi-3 family of models that outperform other models of its class


๐Ÿ“ˆ 30.31 Punkte

๐Ÿ“Œ Large Language Models: Modern Gen4 LLM Overview (LLaMA, Pythia, PaLM2 and More)


๐Ÿ“ˆ 30.24 Punkte

๐Ÿ“Œ Meet Meditron: A Suite of Open-Source Medical Large Language Models (LLMs) based on LLaMA-2


๐Ÿ“ˆ 29.37 Punkte

๐Ÿ“Œ Meet Meditron: A Suite of Open-Source Medical Large Language Models (LLMs) based on LLaMA-2


๐Ÿ“ˆ 29.37 Punkte

๐Ÿ“Œ Can Large Language Models Retain Old Skills While Learning New Ones? This Paper Introduces LLaMA Pro-8.3B: A New Frontier in AI Adaptability


๐Ÿ“ˆ 29.37 Punkte

๐Ÿ“Œ Llama 3: The Next Generation of AI-Powered Language Models


๐Ÿ“ˆ 29.37 Punkte

๐Ÿ“Œ Red Teaming Language Models with Language Models


๐Ÿ“ˆ 28.44 Punkte

๐Ÿ“Œ Language models can explain neurons in language models


๐Ÿ“ˆ 28.44 Punkte

๐Ÿ“Œ Red Teaming Language Models with Language Models


๐Ÿ“ˆ 28.44 Punkte

๐Ÿ“Œ Large Language Models, GPT-2โ€Šโ€”โ€ŠLanguage Models are Unsupervised Multitask Learners


๐Ÿ“ˆ 28.44 Punkte

๐Ÿ“Œ Large Language Models, GPT-3: Language Models are Few-Shot Learners


๐Ÿ“ˆ 28.44 Punkte











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