-Luma Video-to-3D API提供基于NeRF的3D建模和重构。 -Luma AI旨在实现逼真的3D捕捉和对世界的经验。 -可以通过集成其他技术来增强视频插值。 -相关图建模表明耳蜗通过自相关对声音时序进行编码。 -文本到视频技术可以促进对与3D世界关系的文本描述的理解。 -Alexander Amini的YouTube通道涵盖了深度学习、人工智能在...
Anthropic 预计到 2027 年收入将达到 345 亿美元,主要依赖 API 业务。与此同时,OpenAI 也在推进其 Orion 大语言模型,计划与推理模型合并为单一 AI 系统。来源:新智元2.达摩院开源 VideoLLaMA3:7B 模型视频理解能力领先达摩院推出 VideoLLaMA3,一款仅 7B 大小的多模态视频-语言模型,在通用视频理解、时间推理和长...
Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon through a single API, along with a broad set of capabilities...
The client uses the OpenAI API for invocation, for details refer to the LLM deployment documentation. Original model: CUDA_VISIBLE_DEVICES=0 swift deploy --model_type qwen1half-7b-chat # 使用VLLM加速 CUDA_VISIBLE_DEVICES=0 swift deploy --model_type qwen1half-7b-chat \ --infer_backend vll...
In this video, we will demonstrate how to enhance question answering using LangChain. We will show you how to use LangChain to access external data sources and improve the accuracy of responses from a language model, even when it lacks up-to-date informa
* v0.15.0 Qwen系列的react形式的tool call功能将移除,由OpenAI API形式的tool call代替。移除qwen-chat 1代的tool call能力(不影响qwen1.5-chat和qwen2) 💻 * v0.15.0 将移除chatglm3。因其官方已基本不更新同时各规格接口不一致,glm系列模型推荐直接使用glm4-chat 👋...
The client uses the OpenAI API for invocation, for details refer to the LLM deployment documentation. Original model: CUDA_VISIBLE_DEVICES=0 swift deploy --model_type qwen1half-7b-chat # 使用VLLM加速 CUDA_VISIBLE_DEVICES=0 swift deploy --model_type qwen1half-7b-chat \ --infer_backend vll...
The client uses the OpenAI API for invocation, for details refer to the LLM deployment documentation. Original model: CUDA_VISIBLE_DEVICES=0 swift deploy --model_type qwen1half-7b-chat # 使用VLLM加速 CUDA_VISIBLE_DEVICES=0 swift deploy --model_type qwen1half-7b-chat \ --infer_backend vll...
The client uses the OpenAI API for invocation, for details refer to the LLM deployment documentation. Original model: CUDA_VISIBLE_DEVICES=0 swift deploy --model_type qwen1half-7b-chat # 使用VLLM加速 CUDA_VISIBLE_DEVICES=0 swift deploy --model_type qwen1half-7b-chat \ --infer_backend vll...
The client uses the OpenAI API for invocation, for details refer to the LLM deployment documentation. Original model: CUDA_VISIBLE_DEVICES=0 swift deploy --model_type qwen1half-7b-chat # 使用VLLM加速 CUDA_VISIBLE_DEVICES=0 swift deploy --model_type qwen1half-7b-chat \ --infer_backend vll...