Difference between revisions of "Large language model (LLM)"
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| − | [[wikipedia:Large language model]] ([https://trends.google.com/trends/explore?q=LLM&hl=en-US Trends]) | + | [[wikipedia:Large language model]] ([https://trends.google.com/trends/explore?date=today%205-y&q=LLM&hl=en-US Trends]) |
* [[Gemini]] (Dec 2023) | * [[Gemini]] (Dec 2023) | ||
Revision as of 17:53, 6 March 2024
wikipedia:Large language model (Trends)
- Gemini (Dec 2023)
- Apple Ferret (Oct 2023)MLLM
Related
See also
- LLM, MLLM, LoRA, LLaMA, LLaMA3, QLoRA, Falcon, PaLM 2, Gemini, Mixtral 8x7B, BitNet, Measuring Massive Multitask Language Understanding (MMLU), NVLM
- Chatbot, Google Gemini, Claude (Anthropic), ChatGPT, Grok, Amazon Q, Groq, Chat with RTX
- Artificial neural networks, Neuronal network (NN), CNN, Micrograd, NPU, ConvNet, AlexNet, GoogLeNet, Apache MXNet, Neural architecture search, DAG, Feedforward neural network, NeurIPS, Feature Pyramid Network, TPU, NPU, Apple Neural Engine (ANE), LLM, TFLOPS
- AI: Autonomous driving, OpenAI, Google AI,Eliezer Yudkowsky, DeepMind, Computer Vision, Neural network, Vertex AI, Instadeep, Deep learning, Infogrid, Sapling, AssemblyAI, V7, MTIA, Yann LeCun, AI WiW, Salesforce AI, Pika, Amazon Q, LLM, Ollama, Cloud AI Developer Services, Hugging Face, Databricks
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